% Encoding: UTF-8 @COMMENT{BibTeX export based on data in FAU CRIS: https://cris.fau.de/} @COMMENT{For any questions please write to cris-support@fau.de} @book{faucris.121946484, address = {Dagstuhl}, editor = {Denzler, Joachim and Hornegger, Joachim and Kittler, Jürgen and Maurer Jr., Calvin R.}, faupublication = {yes}, keywords = {multi-sensor fusion; multi-modal perception; multiple expert fusion; fusion paradigms; multi-modal and intra-modal experts; non-rigid registration}, note = {UnivIS-Import:2015-07-08:Pub.2007.tech.IMMD.IMMD5.06311a}, publisher = {Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl}, series = {Dagstuhl Seminar Proceedings}, title = {06311 {Abstracts} {Collection} -- {Sensor} {Data} and {Information} {Fusion} in {Computer} {Vision} and {Medicine}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Denzler07-ACS.pdf}, volume = {06311}, year = {2007} } @inproceedings{faucris.120333224, address = {Erlangen}, author = {Prümmer, Marcus and Han, Jingfeng and Hornegger, Joachim}, booktitle = {Vision Modeling and Visualization}, date = {2005-11-16/2005-11-18}, editor = {Greiner Günther, Hornegger Joachim, Niemann Heinrich, Stamminger Marc}, faupublication = {yes}, pages = {187-194}, peerreviewed = {unknown}, publisher = {Akademische Verlagsgesellschaft Aka GmbH, Berlin}, title = {{2D}-{3D} {Non}-rigid {Registration} using {Iterative} {Reconstruction}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Pruemmer05-2NR.pdf}, venue = {Erlangen}, year = {2005} } @inproceedings{faucris.121370304, address = {Berlin}, author = {Schuldhaus, Dominik and Spiegel, Martin and Redel, Thomas and Polyanskaya, Maria and Struffert, Tobias and Hornegger, Joachim and Dörfler, Arnd}, booktitle = {Bildverarbeitung für die Medizin}, date = {2011-03-22}, editor = {H. Handels, J. Ehrhardt, T. Deserno, H. Meinzer, T. Tolxdorff}, faupublication = {yes}, pages = {109-113}, peerreviewed = {unknown}, publisher = {Springer}, title = {{2D} {Vessel} {Segmentation} {Using} {Local} {Adaptive} {Contrast} {Enhancement}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Schuldhaus11-2VS.pdf}, venue = {Luebeck}, year = {2011} } @inproceedings{faucris.119175144, abstract = {Although the medical scanners are rapidly moving towards a three-dimensional paradigm, the manipulation and annotation/labeling of the acquired data is still performed in a standard 2D environment. Editing and annotation of three-dimensional medical structures is currently a complex task and rather time-consuming, as it is carried out in 2D projections of the original object. A major problem in 2D annotation is the depth ambiguity, which requires 3D landmarks to be identified and localized in at least two of the cutting planes. Operating directly in a three-dimensional space enables the implicit consideration of the full 3D local context, which significantly increases accuracy and speed. A three-dimensional environment is as well more natural optimizing the user's comfort and acceptance. The 3D annotation environment requires the three-dimensional manipulation device and display. By means of two novel and advanced technologies, Wii Nintendo Controller and Philips 3D WoWvx display, we define an appropriate 3D annotation tool and a suitable 3D visualization monitor. We define noncoplanar setting of four Infrared LEDs with a known and exact position, which are tracked by the Wii and from which we compute the pose of the device by applying a standard pose estimation algorithm. The novel 3D renderer developed by Philips uses either the Z-value of a 3D volume, or it computes the depth information out of a 2D image, to provide a real 3D experience without having some special glasses. Within this paper we present a new framework for manipulation and annotation of medical landmarks directly in three-dimensional volume. © 2009 SPIE.}, author = {Vitanovski, Dime and Schaller, Christian and Hahn, Dieter and Daum, Volker and Hornegger, Joachim}, booktitle = {Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging}, doi = {10.1117/12.812453}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {{3D} annotation and manipulation of medical anatomical structures}, venue = {Lake Buena Vista, FL}, volume = {7261}, year = {2009} } @inproceedings{faucris.107953824, author = {Bourier, Felix and Heißenhuber, Frank and Schneider, Hans-Jürgen and Ganslmeier, Patrycja and Fischer, Robert and Brost, Alexander and Koch, Martin and Strobel, Norbert and Hornegger, Joachim and Kurzidim, Klaus}, booktitle = {77. Jahrestagung}, date = {2011-04-27/2011-04-30}, editor = {Deutsche Gesellschaft für Kardiologie}, faupublication = {yes}, pages = {73.0}, peerreviewed = {unknown}, title = {{3D}-{Funktionalität} und {Navigation} durch einen {Siemens}-{Prototypen} in der biplanen {Fluoroskopie} zur {Pulmonalvenenisolation}}, venue = {Mannheim}, year = {2011} } @inproceedings{faucris.121206624, abstract = {For a lot of applications, and particularly for medical intra-operative applications, the exploration of and navigation through 3-D image data provided by sensors like ToF (Time-of-Flight) cameras, MUSTOF (Multisensor-Time-of- Flight) endoscopes or CT (Computed Tomography)[8], requires a user-interface which avoids physical interaction with an input device. Thus, we process a touchless userinterface based on gestures classified by the data provided by a ToF camera. Reasonable and necessary user interactions are described. For those interactions a suitable set of gestures is introduced. A user-interface is then proposed, which interprets the current gesture and performs the assigned functionality. For evaluating the quality of the developed user-interface we considered the aspects of classification rate, real-time applicability, usability, intuitiveness and training lime. The results of our evaluation show that our system, which provides a classification rate of 94.3% at a framerate of 11 frames per second, satisfactorily addresses all these quality requirements. © 2008 IEEE.}, author = {Soutschek, Stefan and Penne, Jochen and Hornegger, Joachim and Kornhuber, Johannes}, booktitle = {2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops}, doi = {10.1109/CVPRW.2008.4563162}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {3-{D} gesture-based scene navigation in medical imaging applications using {Time}-of-{Flight} cameras}, venue = {Anchorage, AK}, volume = {null}, year = {2008} } @inproceedings{faucris.121178684, abstract = {Diagnosis and treatment of coronary heart disease are performed in the catheter laboratory using an angiographic X-ray C-arm system. The morphology of the coronary tree and potentially ischemic lesions are determined in 2D projection views. The hemodynamic impact of the lesion would be valuable information for treatment decision. Using other modalities for functional imaging is disrupting the clinical workflow since the patient has to be transferred from the catheter laboratory to another scanner, and back to the catheter laboratory for performing the treatment. In this work a novel technology is used for simultaneous 3D imaging of first pass perfusion and the morphology of the coronary tree from a single rotational angiogram. A selective, single shot of contrast agent of less than 20ml directly into the coronaries is sufficient for a proper contrast resolution. Due to the long acquisition time cardiac motion has to be considered. A novel reconstruction technique for estimation and compensation of cardiac motion from the acquired projection data is used. The overlay of the 3D structure of the coronary tree and the perfusion image shows the correlation of myocardial areas and the associated coronary sections supporting that region. In a case example scar lesions caused by a former myocardial infarct are investigated. A first pass perfusion defect is found which is validated by a late enhancement magnetic resonance image. No ischemic defects are found. The non vital regions are still supported by the coronary vasculature. © 2011 SPIE.}, author = {Lauritsch, Günter and Rohkohl, Christopher and Hornegger, Joachim and Sinha, Anil-Martin and Rittger, Harald and Brachmann, Johannes and Rieber, Johannes and Rittger, Harald}, booktitle = {Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling}, doi = {10.1117/12.877931}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {{3D} imaging of myocardial perfusion and coronary tree morphology from a single rotational angiogram}, venue = {Lake Buena Vista, FL}, volume = {7964}, year = {2011} } @inproceedings{faucris.107921484, author = {Brost, Alexander and Liao, Rui and Hornegger, Joachim and Strobel, Norbert}, booktitle = {Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling}, date = {2010-02-13/2010-02-18}, doi = {10.1117/12.843999}, editor = {Kenneth H. Wong, Michael I. Miga}, faupublication = {yes}, pages = {762507.0}, peerreviewed = {unknown}, title = {{3D} model-based catheter tracking for motion compensation in {EP} procedures}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Brost10-3MC.pdf}, venue = {San Diego, CA}, year = {2010} } @inproceedings{faucris.121376244, author = {Haase, Sven and Bauer, Sebastian and Wasza, Jakob and Kilgus, Thomas and Maier-Hein, Lena and Schneider, Armin and Kranzfelder, Michael and Feußner, Hubertus and Hornegger, Joachim}, booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, Lecture Notes in Computer Science}, date = {2013-09-22/2013-09-26}, editor = {Mori Kensaku, Sakuma Ichiro, Sato Yoshinobu, Barillot Christian, Navab Nassir}, faupublication = {yes}, pages = {356-363}, title = {3-{D} {Operation} {Situs} {Reconstruction} with {Time}-of-{Flight} {Satellite} {Cameras} {Using} {Photogeometric} {Data} {Fusion}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Haase13-3OS.pdf}, venue = {Nagoya}, year = {2013} } @inproceedings{faucris.111434664, address = {Prague, Czech Republic}, author = {Chen, Shuqing and Lu, Yanye and Hopfgartner, Christian and Suehling, Michael and Steidl, Stefan and Hornegger, Joachim and Maier, Andreas}, booktitle = {Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro}, date = {2016-04-13/2016-04-16}, doi = {10.1109/ISBI.2016.7493293}, faupublication = {yes}, isbn = {9781479923502}, keywords = {3-D printing, immobilization mask, atlas registration}, note = {UnivIS-Import:2017-12-18:Pub.2016.tech.IMMD.IMMD5.3dprin}, pages = {403-406}, peerreviewed = {unknown}, publisher = {IEEE}, title = {3-{D} {Printing} {Based} {Production} of {Head} and {Neck} {Masks} for {Radiation} {Therapy} {Using} {Ct} {Volume} {Data}: {A} {Fully} {Automatic} {Framework}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Chen16-3PB.pdf}, venue = {Prague, Czech Republic}, volume = {2016-June}, year = {2016} } @inproceedings{faucris.119857364, author = {Prümmer, Marcus and Hornegger, Joachim}, booktitle = {Proceedings of the 4th Russian-Bavarian Conference on Biomedical Engineering}, date = {2008-07-08/2008-07-09}, editor = {Bauernschmitt Robert, Chaplygin Yuri, Feußner Hubertus, Gulyaev Yuri, Hornegger Joachim, Mayr Ernst, Navab Nassir, Schookin Sergey, Selishchev Sergey, Umnyashkin Sergei}, faupublication = {yes}, pages = {9-13}, peerreviewed = {unknown}, title = {{3D}-{Reconstruction} in the {Presence} of {Motion}}, venue = {Moscow}, year = {2008} } @book{faucris.120197044, abstract = {Radio-frequency catheter ablation of the pulmonary veins attached to the left atrium is usually carried out under fluoroscopy guidance. Two-dimensional X-ray navigation may involve overlay images derived from a static pre-operative 3-D volumetric data set to add anatomical details. However, respiratory motion may impair the utility of static overlay images for catheter navigation. We developed a system for image-based 3-D motion estimation and compensation as a solution to this problem for which no previous solution is yet known. It is based on 3-D catheter tracking involving 2-D/3-D registration. A biplane X-ray C-arm system is used to image a special circumferential (lasso) catheter from two directions. In the first step of the method, a 3-D model of the device is reconstructed. 3-D respiratory motion at the site of ablation is then estimated by tracking the reconstructed model in 3-D from biplane fluoroscopy. In our experiments, the circumferential catheter was tracked in 231 biplane fluoro frames (462 monoplane fluoro frames) with an average 2-D tracking error of 1.0 mm ± 0.5 mm. © 2009 Springer-Verlag.}, address = {London}, author = {Brost, Alexander and Liao, Rui and Hornegger, Joachim and Strobel, Norbert}, doi = {10.1007/978-3-642-04268-3{\_}49}, faupublication = {yes}, note = {UnivIS-Import:2015-04-16:Pub.2009.tech.IMMD.IMMD5.3dresp}, pages = {394-401}, peerreviewed = {Yes}, publisher = {Springer-verlag}, title = {3-{D} respiratory motion compensation during {EP} procedures by image-based 3-{D} lasso catheter model generation and tracking}, volume = {null}, year = {2009} } @inproceedings{faucris.120189564, abstract = {One of the main challenges related to computer-assisted laparoscopic surgery is the accurate registration of pre-operative planning images with patient's anatomy. One popular approach for achieving this involves intraoperative 3D reconstruction of the target organ's surface with methods based on multiple view geometry. The latter, however, require robust and fast algorithms for establishing correspondences between multiple images of the same scene. Recently, the first endoscope based on Time-of-Flight (ToF) camera technique was introduced. It generates dense range images with high update rates by continuously measuring the run-time of intensity modulated light. While this approach yielded promising results in initial experiments, the endoscopic ToF camera has not yet been evaluated in the context of related work. The aim of this paper was therefore to compare its performance with different state-of-the-art surface reconstruction methods on identical objects. For this purpose, surface data from a set of porcine organs as well as organ phantoms was acquired with four different cameras: a novel Time-of-Flight (ToF) endoscope, a standard ToF camera, a stereoscope, and a High Definition Television (HDTV) endoscope. The resulting reconstructed partial organ surfaces were then compared to corresponding ground truth shapes extracted from computed tomography (CT) data using a set of local and global distance metrics. The evaluation suggests that the ToF technique has high potential as means for intraoperative endoscopic surface registration. © 2011 SPIE.}, author = {Groch, A. and Seitel, A. and Hempel, Sarah-Marie and Speidel, S. and Engelbrecht, Rainer and Penne, Jochen and Höller, Kurt Emmerich and Röhl, S. and Yung, K. and Bodenstedt, S. and Pflaum, Felix and Dos Santos, T. R. and Mersmann, S. and Meinzer, H-P and Hornegger, Joachim and Maier-Hein, L.}, booktitle = {Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling}, doi = {10.1117/12.878354}, faupublication = {yes}, peerreviewed = {Yes}, title = {{3D} surface reconstruction for laparoscopic computer-assisted interventions: {Comparison} of state-of-the-art methods}, venue = {Lake Buena Vista, FL}, volume = {7964}, year = {2011} } @inproceedings{faucris.207560707, author = {Hu, Shiyang and Riess, Christian and Hornegger, Joachim and Fischer, Peter and Bayer, Florian and Weber, Thomas and Anton, Gisela and Maier, Andreas}, booktitle = {Bildverarbeitung für die Medizin 2015}, date = {2015-03-17/2015-03-17}, doi = {10.1007/978-3-662-46224-9{\_}84}, faupublication = {yes}, isbn = {9783662462232}, pages = {492-497}, peerreviewed = {Yes}, publisher = {Kluwer Academic Publishers}, title = {{3D} {Tensor} {Reconstruction} in {X}-{Ray} {Dark}-{Field} {Tomography}: {The} {First} {Phantom} {Result}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Hu15-3TR.pdf}, venue = {Lübeck}, volume = {0}, year = {2015} } @inproceedings{faucris.121376684, author = {Bourier, Felix and Brost, Alexander and Kleinöder, Andreas and Schneider, Hans-Jürgen and Heißenhuber, Frank and Ganslmeier, Patrycja and Raab, Jens and Koch, Martin and Hornegger, Joachim and Strobel, Norbert and Kurzidim, Klaus}, booktitle = {Venice Arrhythmias 2011}, date = {2011-10-09/2011-10-12}, editor = {Journal of Cardiovascular Electrophysiology}, faupublication = {yes}, pages = {45.0}, peerreviewed = {unknown}, title = {{3D}-{Visualisation} of {Cryo}-{Balloon} {Ablation} {Catheters} to {Evaluate} {Left} {Atrial} {Anatomy} for {PVI}}, venue = {Venice}, year = {2011} } @inproceedings{faucris.121404844, author = {Bourier, Felix and Brost, Alexander and Kleinöder, Andreas and Koch, Martin and Hornegger, Joachim and Strobel, Norbert and Schneider, Hans-Jürgen and Kurzidim, Klaus}, booktitle = {28th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology}, date = {2011-10-06/2011-10-08}, editor = {ESMRMB}, faupublication = {yes}, pages = {762.0}, peerreviewed = {unknown}, title = {{3D}-{Visualisation} of {Cryo}-balloon ablation catheters to evaluate their matching with left atrial anatomy to improve {Pulmonary} {Vein} {Isolation}}, venue = {Leipzig}, year = {2011} } @inproceedings{faucris.108044684, address = {Berlin / Heidelberg}, author = {Bourier, Felix and Vukajlovic, Dejan and Brost, Alexander and Hornegger, Joachim and Strobel, Norbert and Kurzidim, Klaus}, booktitle = {78. Jahrestagung der Deutschen Gesellschaft für Kardiologie}, date = {2012-04-11/2012-04-14}, editor = {Deutsche Gesellschaft für Kardiologie}, faupublication = {yes}, pages = {656.0}, peerreviewed = {unknown}, publisher = {Springer}, title = {{3D}-{Visualisierung} von {Cryo} {Ballon} {Kathetern} und linkem {Atrium} in der biplanen {Fluoroskopie} zur {Pulmonalvenenisolation}}, venue = {Mannheim}, year = {2012} } @inproceedings{faucris.120323544, author = {Bourier, Felix and Vukajlovic, Dejan and Schneider, Hans-Jürgen and Brost, Alexander and Strobel, Norbert and Hornegger, Joachim and Kurzidim, Klaus}, booktitle = {33rd Annual Scientific Meeting}, date = {2012-05-09/2012-05-12}, editor = {Heart Rhythm Society}, faupublication = {yes}, pages = {PO04-117}, peerreviewed = {unknown}, title = {{3D}-{Visualization} of {Cryo} {Balloon} {Catheters} and the {Left} {Atrium} in {Biplane} {Fluoroscopy} to support {Pulmonary} {Vein} {Isolation}}, venue = {Boston, MA}, year = {2012} } @book{faucris.106882644, address = {Erlangen}, editor = {Hornegger, Joachim and Mayr, Ernst and Schookin, Sergey and Feußner, Hubertus and Navab, Nassir and Gulyaev, Yuri V. and Höller, Kurt Emmerich and Ganzha, Victor}, faupublication = {yes}, isbn = {3-921713-33-1}, keywords = {Biomedical; Engineering; Recognition; NOTES; MUSTOF; Interdisciplinary;}, note = {UnivIS-Import:2015-07-08:Pub.2007.tech.IMMD.IMMD5.3rdrus}, publisher = {Union aktuell}, title = {3rd {Russian}-{Bavarian} {Conference} on {Biomedical} {Engineering}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Hornegger07-3RC.pdf}, volume = {1}, year = {2007} } @inproceedings{faucris.121431464, author = {Wu, Haibo and Maier, Andreas and Hofmann, Hannes and Fahrig, Rebecca and Hornegger, Joachim}, booktitle = {Proceedings of the second international conference on image formation in x-ray computed tomography}, date = {2012-06-24/2012-06-27}, editor = {Noo Frederic}, faupublication = {yes}, pages = {206-209}, peerreviewed = {unknown}, title = {{4D}-{CT} {Reconstrucion} {Using} {Sparsity} {Level} {Constrained} {Compressed} {Sensing}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Wu12-4RU.pdf}, venue = {Salt Lake City, UT}, year = {2012} } @inproceedings{faucris.123548964, author = {Endres, Jürgen and Rohkohl, Christopher and Schafer, Sebastian and Royalty, Kevin and Maier, Andreas and Kowarschik, Markus and Hornegger, Joachim}, booktitle = {Proceedings of the Fully3D}, faupublication = {yes}, note = {UnivIS-Import:2015-07-08:Pub.2015.tech.IMMD.IMMD5.4ddsai}, pages = {276-279}, title = {{4D} {DSA} {Iterative} {Reconstruction}}, venue = {Newport, RI}, year = {2015} } @inproceedings{faucris.121319484, author = {Liu, Jonathan J. and Grulkowski, Ireneusz and Potsaid, Benjamin and Jayaraman, Vijaysekhar and Cable, Alex E. and Kraus, Martin and Hornegger, Joachim and Duker, Jay S. and Fujimoto, James G.}, booktitle = {Proc. SPIE 8567}, date = {2013-02-02}, doi = {10.1117/12.2004369}, editor = {SPIE}, faupublication = {yes}, pages = {85670X}, title = {{4D} dynamic imaging of the eye using ultrahigh speed {SS}-{OCT}}, venue = {San Francisco}, year = {2013} } @inproceedings{faucris.120190004, abstract = {Time-resolved 3-D imaging of the heart is a major research topic in the medical imaging community. Recent advances in the interventional cardiac 3-D imaging from rotational angiography (C-arm CT) are now also making 4-D imaging feasible during procedures in the catheter laboratory. State-of-the-art reconstruction algorithms try to estimate the cardiac motion and utilize the motion field to enhance the reconstruction of a stable cardiac phase (diastole). The available data offers a handful of opportunities during interventional procedures, e.g. the ECG-synchronized dynamic roadmapping or the computation and analysis of functional parameters. In this paper we will demonstrate that the motion vector field (MVF) that is output by motion compensated image reconstruction algorithms is in general not directly usable for animation and motion analysis. Dependent on the algorithm different defects are investigated. A primary issue is that the MVF needs to be inverted, i.e. the wrong direction of motion is provided. A second major issue is the non-periodicity of cardiac motion. In algorithms which compute a non-periodic motion field from a single rotation the in depth motion information along viewing direction is missing, since this cannot be measured in the projections. As a result, while the MVF improves reconstruction quality, it is insufficient for motion animation and analysis. We propose an algorithm to solve both problems, i.e. inversion and missing in-depth information in a unified framework. A periodic version of the MVF is approximated. The task is formulated as a linear optimization problem where a parametric smooth motion model based on B-splines is estimated from the MVF. It is shown that the problem can be solved using a sparse QR factorization within a clinical feasible time of less than one minute. In a phantom experiment using the publicly available CAVAREV platform, the average quality of a non-periodic animation could be increased by 39% by applying the proposed periodization and inversion method. © 2011 SPIE.}, author = {Holub, Wolfgang and Rohkohl, Christopher and Schuldhaus, Dominik and Prümmer, Marcus and Lauritsch, Günter and Hornegger, Joachim}, booktitle = {Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling}, doi = {10.1117/12.877969}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {4-{D} motion animation of coronary arteries from rotational angiography}, venue = {Lake Buena Vista, FL}, volume = {7964}, year = {2011} } @inproceedings{faucris.121133584, abstract = {In interventional cardiology three-dimensionalanatomical and functional information of the cardiac chamberswould have an important impact on diagnosis and therapy. Withthe technology of C-arm CT it is possible to reconstruct intraprocedural3-D images from angiographic projection data. Inorder to generate accurate and artifact-free reconstructions fromdynamic cardiac projections, the motion needs to be taken intoaccount. We present the novel Combined Multiple Heart PhaseRegistration (CMHPR) method. CMHPR is an iterative motionestimation and compensation algorithm that uses projection dataacquired during a single C-arm sweep. Filtered-backprojection(FBP) volumes from electrocardiogram (ECG)-gated data are reconstructedfor different motion states of the heart. According toan unknown 4-D motion vector field the ECG-gated FBP imagesare deformed and accumulated to a sum volume for representingthe status of a particular heart phase. In an iterative optimizationprocedure the 4-D motion vector field is computed by registeringthe sum volume to a reference volume of the same heart phase.The negative normalized cross correlation (NCC) of both volumesis used as a cost function. In this paper, the reference image isgenerated using the prior image constrained compressed sensing(PICCS) algorithm combined with the improved total variation(iTV). First preliminary experiments on clinical porcine datasets show promising results. CMHPR reduces streak artifactsand simultaneously preserves sharp edges without producing theartificial comic-like appearance of the PICCS + iTV referencevolume.}, author = {Müller, Kerstin and Rohkohl, Christopher and Lauritsch, Günter and Schwemmer, Chris and Heidbüchel, Hein and De Buck, Stijn and Nuyens, Dieter and Kyriakou, Yiannis and Köhler, Christoph and Hornegger, Joachim}, booktitle = {2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)}, date = {2012-10-29/2012-11-03}, editor = {IEEE}, faupublication = {yes}, pages = {3707-3712}, peerreviewed = {unknown}, title = {4-{D} {Motion} {Field} {Estimation} by {Combined} {Multiple} {Heart} {Phase} {Registration} ({CMHPR}) for {Cardiac} {C}-arm {Data}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Mueller12-4MF.pdf}, venue = {Anaheim, CA}, year = {2012} } @inproceedings{faucris.107385124, abstract = {Methods for 2D/3D face recognition typically combine results obtained independently from the 2D and 3D data, respectively. There has not been much emphasis on data fusion at an early stage, even though it is at least potentially more powerful to exploit possible synergies between the two modalities. In this paper, we propose photogeometric features that interpret both the photometric texture and geometric shape information of 2D manifolds in a consistent manner. The 4D features encode the spatial distribution of gradients that are derived generically for any scalar field on arbitrary organized surface meshes. We apply the descriptor for biometric face recognition with a time-of-flight sensor. The method consists of three stages: (i) facial landmark localization with a HOG/SVM sliding window framework, (ii) extraction of photogeometric feature descriptors from time-of-flight data, using the inherent grayscale intensity information of the sensor as the 2D manifold's scalar field, (iii) probe matching against the gallery. Recognition based on the photogeometric features achieved 97.5% rank-1 identification rate on a comprehensive time-of-flight dataset (26 subjects, 364 facial images). © 2010 IEEE.}, author = {Bauer, Sebastian and Wasza, Jakob and Müller, Kerstin and Hornegger, Joachim}, booktitle = {2011 IEEE Workshop on Applications of Computer Vision, WACV 2011}, doi = {10.1109/WACV.2011.5711503}, faupublication = {yes}, pages = {196-203}, peerreviewed = {unknown}, title = {{4D} photogeometric face recognition with time-of-flight sensors}, venue = {Kona, HI}, volume = {null}, year = {2011} } @article{faucris.121173844, abstract = {Cerebrovascular disease is among the leading causes of death in western industrial nations. 3D rotational angiography delivers indispensable information on vessel morphology and pathology. Physicians make use of this to analyze vessel geometry in detail, i.e. vessel diameters, location and size of aneurysms, to come up with a clinical decision. 3D segmentation is a crucial step in this pipeline. Although a lot of different methods are available nowadays, all of them lack a method to validate the results for the individual patient. Therefore, we propose a novel 2D digital subtraction angiography (DSA)-driven 3D vessel segmentation and validation framework. 2D DSA projections are clinically considered as gold standard when it comes to measurements of vessel diameter or the neck size of aneurysms. An ellipsoid vessel model is applied to deliver the initial 3D segmentation. To assess the accuracy of the 3D vessel segmentation, its forward projections are iteratively overlaid with the corresponding 2D DSA projections. Local vessel discrepancies are modeled by a global 2D/3D optimization function to adjust the 3D vessel segmentation toward the 2D vessel contours. Our framework has been evaluated on phantom data as well as on ten patient datasets. Three 2D DSA projections from varying viewing angles have been used for each dataset. The novel 2D driven 3D vessel segmentation approach shows superior results against state-of-the-art segmentations like region growing, i.e. an improvement of 7.2% points in precision and 5.8% points for the Dice coefficient. This method opens up future clinical applications requiring the greatest vessel accuracy, e.g. computational fluid dynamic modeling. © 2011 Institute of Physics and Engineering in Medicine.}, author = {Spiegel, Martin and Redel, T. and Struffert, Tobias and Hornegger, Joachim and Dörfler, Arnd}, doi = {10.1088/0031-9155/56/19/015}, faupublication = {yes}, journal = {Physics in Medicine and Biology}, pages = {6401-6419}, peerreviewed = {Yes}, title = {{A} {2D} driven {3D} vessel segmentation algorithm for {3D} digital subtraction angiography data}, volume = {56}, year = {2011} } @inproceedings{faucris.208855099, author = {Hu, Shiyang and Maier, Andreas and Hornegger, Joachim and Bayer, Florian and Weber, Thomas and Anton, Gisela and Riess, Christian}, booktitle = {Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine}, faupublication = {yes}, pages = {220-223}, peerreviewed = {Yes}, title = {{A} 3-{D} {Scattering} {Model} for {Orientation}-dependent {X}-ray {Dark}-field {Imaging}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Hu15-A3S.pdf}, year = {2015} } @inproceedings{faucris.108247524, address = {-}, author = {Hornegger, Joachim and Niemann, Heinrich}, booktitle = {Proceedings of the 12th International Conference on Pattern Recognition (ICPR)}, date = {1994-10-09/1994-10-13}, doi = {10.1109/ICPR.1994.577035}, editor = {IEEE}, faupublication = {yes}, pages = {557-559}, peerreviewed = {unknown}, publisher = {IEEE Computer Society Press}, title = {{A} {Bayesian} approach to learn and classify 3-{D} objects from intensity images}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1994/Hornegger94-BAL.pdf}, venue = {Jerusalem}, year = {1994} } @inproceedings{faucris.121390764, address = {Erlangen}, author = {Wels, Michael and Huber, Martin and Hornegger, Joachim}, booktitle = {3rd Russian-Bavarian Conference on Biomedical Engineering}, date = {2007-07-02/2007-07-03}, editor = {Hornegger Joachim, Mayr Ernst W., Schookin Sergey, Feußner Hubertus, Navab Nassir, Gulyaev Yuri V., Höller Kurt, Ganzha Victor}, faupublication = {yes}, pages = {116-120}, peerreviewed = {unknown}, publisher = {Union aktuell}, title = {{A} {Boosting} {Approach} for {Multiple} {Sclerosis} {Lesion} {Segmentation} in {Multi}-{Spectral} {3D} {MRI}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Wels07-ABA.pdf}, venue = {Erlangen}, year = {2007} } @article{faucris.120191104, abstract = {Single-photon emission computed tomography (SPECT) allows the three-dimensional visualization of radioactivity within the human body and is widely used for clinical purposes. In SPECT, image quality is compromised by several factors including photon attenuation, photon scatter, the partial volume effect, and motion artefacts. These variables also confound the capacity of SPECT to quantify the concentration of radioactivity within given volumes of interest in absolute units, e.g. as kilobecquerels per cubic centimetre. In the last decade, considerable technical progress has been achieved in SPECT image reconstruction, involving, in particular, the development of iterative image reconstruction techniques. Furthermore, hybrid cameras integrating a SPECT camera with an X-ray CT scanner have become commercially available. These systems allow the acquisition of SPECT and CT datasets registered to each other with a high anatomical accuracy. First studies have shown that iterative SPECT image reconstruction techniques incorporating information from SPECT/CT image datasets greatly increase the accuracy of SPECT in quantifying radioactivity concentrations in phantoms and also in humans. This new potential of SPECT may improve not only diagnostic accuracy, but also dosimetry for internal radiotherapy. © 2011 Springer-Verlag.}, author = {Ritt, Philipp and Vija, Hans and Hornegger, Joachim and Kuwert, Torsten}, doi = {10.1007/s00259-011-1770-8}, faupublication = {yes}, journal = {European Journal of Nuclear Medicine and Molecular Imaging}, pages = {S69-S77}, peerreviewed = {Yes}, title = {{Absolute} quantification in {SPECT}}, volume = {38}, year = {2011} } @inproceedings{faucris.203853060, author = {Schirrmacher, Franziska and Köhler, Thomas and Husvogt, Lennart and Fujimoto, James G. and Hornegger, Joachim and Maier, Andreas}, booktitle = {Informatik aktuell}, faupublication = {yes}, note = {UnivIS-Import:2018-09-11:Pub.2018.tech.IMMD.IMMD5.abstra}, pages = {380-380}, peerreviewed = {Yes}, title = {{Abstract}: {QuaSI} - {Quantile} {Sparse} {Image} {A} {Prior} for {Spatio}-{Temporal} {Denoising} of {Retinal} {OCT} {Data}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schirrmacher18-AQQ.pdf}, venue = {Erlangen}, year = {2018} } @inproceedings{faucris.203715743, author = {Ghesu, Florin-Cristian and Georgescu, Bogdan and Grbic, Sasa and Maier, Andreas and Hornegger, Joachim and Comaniciu, Dorin}, booktitle = {Informatik Aktuell}, doi = {10.1007/978-3-662-56537-7{\_}24}, faupublication = {yes}, note = {UnivIS-Import:2018-09-06:Pub.2018.tech.IMMD.IMMD5.abstra{\_}0}, pages = {1-1}, peerreviewed = {unknown}, title = {{Abstract}: {Robust} {Multi}-{Scale} {Anatomical} {Landmark} {Detection} in {Incomplete} {3D}-{CT} {Data}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Ghesu18-ARM.pdf}, venue = {Erlangen}, year = {2018} } @inproceedings{faucris.120326844, address = {Berlin}, author = {Hofmann, Hannes and Keck, Benjamin and Hornegger, Joachim}, booktitle = {Bildverarbeitung für die Medizin 2010}, date = {2010-03-14/2010-03-16}, editor = {Deserno Thomas Martin, Handels Heinz, Meinzer Hans-Peter, Tolxdorff Thomas}, faupublication = {yes}, pages = {380-384}, peerreviewed = {unknown}, publisher = {Springer}, title = {{Accelerated} {C}-arm {Reconstruction} by {Out}-of-{Projection} {Prediction}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Hofmann10-ACR.pdf}, venue = {Aachen}, year = {2010} } @inproceedings{faucris.121138864, author = {Forman, Christoph and Piccini, Davide and Hutter, Jana and Grimm, Robert and Hornegger, Joachim and Zenge, Michael O.}, booktitle = {Proceedings of the 20th Annual Meeting of ISMRM}, date = {2012-05-05/2012-05-11}, faupublication = {yes}, pages = {1157}, peerreviewed = {unknown}, title = {{Accelerated} {Whole}-{Heart} {Coronary} {Imaging} using {Multiple} {Breath}-holds and {Compressed} {Sensing} {Monitored} by {Self}-navigation}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Forman12-AWC.pdf}, venue = {Melbourne}, year = {2012} } @article{faucris.114332284, author = {Lugauer, Felix and Nickel, Dominik and Wetzl, Jens and Kiefer, Berthold and Hornegger, Joachim and Maier, Andreas}, doi = {10.1007/s10334-016-0595-7}, faupublication = {yes}, journal = {Magnetic Resonance Materials in Physics Biology and Medicine}, keywords = {Multi-echo Dixon; Quantitative water-fat MRI; Compressed sensing; Locally low-rank}, note = {UnivIS-Import:2017-03-24:Pub.2016.tech.IMMD.IMMD5.accele}, pages = {01-14}, peerreviewed = {Yes}, title = {{Accelerating} {Multi}-{Echo} {Water}-{Fat} {MRI} with a {Joint} {Locally} {Low}-{Rank} and {Spatial} {Sparsity}-{Promoting} {Reconstruction}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Lugauer16-AMW.pdf}, volume = {-}, year = {2016} } @inproceedings{faucris.120198804, abstract = {C-arm X-ray imaging devices are commonly used for minimally invasive cardiovascular or other interventional procedures. Calibrated state-of-the-art systems can, however, not only be used for 2D imaging but also for three-dimensional reconstruction either using tomographic techniques or even stereotactic approaches. To evaluate the accuracy of X-ray object localization from two views, a simulation study assuming an ideal imaging geometry was carried out first. This was backed up with a phantom experiment involving a real C-arm angiography system. Both studies were based on a phantom comprising five point objects. These point objects were projected onto a flat-panel detector under different C-arm view positions. The resulting 2D positions were perturbed by adding Gaussian noise to simulate 2D point localization errors. In the next step, 3D point positions were triangulated from two views. A 3D error was computed by taking differences between the reconstructed 3D positions using the perturbed 2D positions and the initial 3D positions of the five points. This experiment was repeated for various C-arm angulations involving angular differences ranging from 15o to 165o. The smallest 3D reconstruction error was achieved, as expected, by views that were 90o degrees apart. In this case, the simulation study yielded a 3D error of 0.82 mm ± 0.24 mm (mean ± standard deviation) for 2D noise with a standard deviation of 1.232 mm (4 detector pixels).The experimental result for this view configuration obtained on an AXIOM Artis C-arm (Siemens AG, Healthcare Sector, Forchheim, Germany) system was 0.98 mm ± 0.29 mm, respectively. These results show that state-of-the-art C-arm systems can localize instruments with millimeter accuracy, and that they can accomplish this almost as well as an idealized theoretical counterpart. High stereotactic localization accuracy, good patient access, and CT-like 3D imaging capabilities render state-of-the-art C-arm systems ideal devices for X-ray based minimally invasive procedures. © 2009 SPIE.}, author = {Brost, Alexander and Strobel, Norbert and Yatziv, Liron and Gilson, Wesley and Meyer, Bernhard and Hornegger, Joachim and Lewin, Jonathan and Wacker, Frank}, booktitle = {Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging}, doi = {10.1117/12.811147}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {{Accuracy} of x-ray image-based {3D} localization from two {C}- arm views: {A} comparison between an ideal system and a real device}, venue = {Lake Buena Vista, FL}, volume = {7261}, year = {2009} } @article{faucris.124056724, abstract = {Objective Developing an efficient tool for accurate threedimensional imaging from projections measured with C-arm systems. Material and methods A circle-plus-arc trajectory, which is complete and thus amenable to accurate reconstruction, is used. This trajectory is particularly attractive as its implementation does not require moving the patient. For reconstruction, we use the "M-line method", which allows processing the data in the efficient filtered backprojection mode. This method also offers the advantage of not requiring an ideal data acquisition geometry, i.e., the M-line algorithm can account for known deviations in the scanning geometry, which is important given that sizeable deviations are generally encountered in C-arm imaging. Results A robust implementation scheme of the "M-line method" that applies straightforwardly to real C-arm data is presented. In particular, a numerically stable technique to compute the view-dependent derivative with respect to the source trajectory parameter is applied, and an efficient way to compute the p-line backprojection intervals via a polygonal weighting mask is presented. Projection data of an anthropomorphic thorax phantom were acquired on a medical C-arm scanner and used to demonstrate the benefit of using a complete data acquisition geometry with an accurate reconstruction algorithm versus using a state-of-theart implementation of the conventional Feldkamp algorithm with a circular short scan of cone-beam data. A significant image quality improvement based on visual assessment is shown in terms of cone-beam artifacts. © CARS 2011.}, author = {Hoppe, Stefan and Hornegger, Joachim and Dennerlein, Frank and Lauritsch, Günter and Noo, Frederic}, doi = {10.1007/s11548-011-0607-z}, faupublication = {yes}, journal = {International Journal of Computer Assisted Radiology and Surgery}, pages = {73-86}, peerreviewed = {unknown}, title = {{Accurate} image reconstruction using real {C}-arm data from a {Circle}-plus-arc trajectory}, volume = {7}, year = {2012} } @book{faucris.120188464, abstract = {Cardiac MR (CMR) imaging is increasingly accepted as the gold standard for the evaluation of cardiac anatomy, function and mass. The multi-plan ability of CMR makes it a well suited modality for evaluation of the complex anatomy of the mitral valve (MV). However, the 2D slice-based acquisition paradigm of CMR limits the 4D capabilities for precise and accurate morphological and pathological analysis due to long through-put times and protracted study. In this paper we propose a new CMR protocol for acquiring MR images for 4D MV analysis. The proposed protocol is optimized regarding the number and spatial configuration of the 2D CMR slices. Furthermore, we present a learning- based framework for patient-specific 4D MV segmentation from 2D CMR slices (sparse data). The key idea with our Regression-based Surface Reconstruction (RSR) algorithm is the use of available MV models from other imaging modalities (CT, US) to train a dynamic regression model which will then be able to infer the absent information pertinent to CMR. Extensive experiments on 200 transesophageal echochardiographic (TEE) US and 20 cardiac CT sequences are performed to train the regression model and to define the CMR acquisition protocol. With the proposed acquisition protocol, a stack of 6 parallel long-axis (LA) planes, we acquired CMR patient images and regressed 4D patient-specific MV model with an accuracy of 1.5±0.2 mm and average speed of 10 sec per volume. © 2011 Springer-Verlag.}, address = {Berlin / Heidelberg}, author = {Vitanovski, Dime and Tsymbal, Alexey and Ionasec, Razvan and Schmidt, Michaela and Greiser, Andreas and Müller, Edgar and Lu, Xiaoguang and Funka-Lea, Gareth and Hornegger, Joachim and Comaniciu, Dorin}, doi = {10.1007/978-3-642-24319-6{\_}35}, faupublication = {yes}, isbn = {978-3-642-24318-9}, note = {UnivIS-Import:2015-04-16:Pub.2011.tech.IMMD.IMMD5.accura}, pages = {282-290}, peerreviewed = {Yes}, publisher = {Springer-verlag}, title = {{Accurate} {Regression}-{Based} {4D} {Mitral} {Valve} {Surface} {Reconstruction} from {2D}+t {MRI} {Slices}}, year = {2011} } @inproceedings{faucris.118743724, author = {Xia, Yan and Dennerlein, Frank and Bauer, Sebastian and Berger, Martin and Hornegger, Joachim and Maier, Andreas}, booktitle = {Proceedings of the Third International Conference on Image Formation in X-Ray Computed Tomography}, faupublication = {yes}, keywords = {GRK-1773}, note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.aconeb{\_}8}, pages = {178-181}, title = {{A} {Cone}-beam {Reconstruction} {Algorithm} for {Dose}-minimized {Short} {Scan} and {Super} {Short} {Scan}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Xia14-ACR.pdf}, venue = {Salt Lake City, UT, USA}, year = {2014} } @inproceedings{faucris.120190884, abstract = {Machine learning techniques like pointwise classification are widely used for object detection and segmentation. However, for large search spaces like CT images, this approach becomes computationally very demanding. Designing strong yet compact classifiers is thus of great importance for systems that ought to be clinically used as time is a limiting factor in clinical routine. The runtime of a system plays an important role in the decision about its application. In this paper we propose a novel technique for reducing the computational complexity of voxel classification systems based on the well-known AdaBoost algorithm in general and Probabilistic Boosting Trees in particular. We describe a means of incorporating a measure of hypothesis complexity into the optimization process, resulting in classifiers with lower evaluation cost. More specifically, in our approach the hypothesis generation that is performed during the AdaBoost training is no longer based only on the error of a hypothesis but also on its complexity. This leads to a reduced overall classifier complexity and thus shorter evaluation times. The validity of the approach is shown in an experimental evaluation. In a cross validation experiment, a system for automatic segmentation of liver tumors in CT images, that is based on the Probabilistic Boosting Tree, was trained with and without the proposed extension. In this preliminary study, the evaluation cost for classifying previously unseen samples could be reduced by 83% using the methods described here without losing classification accuracy. © 2011 SPIE.}, author = {Militzer, Arne and Tietjen, Christian and Hornegger, Joachim}, booktitle = {Medical Imaging 2011: Computer-Aided Diagnosis}, doi = {10.1117/12.877944}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {{A} cost constrained boosting algorithm for fast lesion detection and segmentation}, venue = {Lake Buena Vista, FL}, volume = {7963}, year = {2011} } @article{faucris.120199024, abstract = {Subtraction methods in angiography are generally applied in order to enhance the visualization of blood vessels by eliminating bones and surrounding tissues from X-ray images. The main limitation of these methods is the sensitivity to patient movement, which leads to artifacts and reduces the clinical value of the subtraction images. In this paper we present a novel method for rigid motion compensation with primary application to road mapping, frequently used in image-guided interventions. Using the general concept of image-based registration, we optimize the physical position and orientation of the C-arm X-ray device, thought of as the rigid 3D transformation accounting for the patient movement. The registration is carried out using a hierarchical optimization strategy and a similarity measure based on the variance of intensity differences, which has been shown to be most suitable for fluoroscopic images. Performance evaluation demonstrated the capabilities of the proposed approach to compensate for potential intra-operative patient motion, being more resilient to the fundamental problems of pure image-based registration. © 2008 Elsevier Ltd. All rights reserved.}, author = {Ionasec, Razvan and Heigl, Benno and Hornegger, Joachim}, doi = {10.1016/j.compmedimag.2008.12.006}, faupublication = {yes}, journal = {Computerized Medical Imaging and Graphics}, pages = {256-266}, peerreviewed = {Yes}, title = {{Acquisition}-related motion compensation for digital subtraction angiography}, volume = {33}, year = {2009} } @article{faucris.121132484, author = {Paulus, Dietrich and Ahlrichs, Ulrike and Heigl, Benno and Denzler, Joachim and Hornegger, Joachim and Zobel, Matthias and Niemann, Heinrich}, faupublication = {yes}, journal = {Videre - A Journal Of Computer Vision Research}, pages = {-}, peerreviewed = {Yes}, title = {{Active} {Knowledge}-{Based} {Scene} {Analysis}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2000/Paulus00-AKB.pdf}, volume = {1.0}, year = {2000} } @inproceedings{faucris.108149404, address = {-}, author = {Paulus, Dietrich and Ahlrichs, Ulrike and Heigl, Benno and Denzler, Joachim and Hornegger, Joachim and Niemann, Heinrich}, booktitle = {Computer Vision Systems}, date = {1999-01-13/1999-01-15}, editor = {-}, faupublication = {yes}, pages = {180-199}, peerreviewed = {unknown}, publisher = {Springer}, title = {{Active} {Knowledge} {Based} {Scene} {Analysis}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1999/Paulus99-AKB.pdf}, venue = {Las Palmas}, year = {1999} } @inproceedings{faucris.113908124, abstract = {Endovascular aneurysm repair (EVAR) has been gaining popularity over open repair of abdominal aortic aneurysms (AAAs) in the recent years. This paper describes a distortion correction approach to be applied during the EVAR cases. In a novel workflow, models (meshes) of the aorta and its branching arteries generated from preoperatively acquired computed tomography (CT) scans are overlayed with interventionally acquired fluoroscopic images. The overlay provides an arterial roadmap for the operator, with landmarks (LMs) marking the ostia, which are critical for stent placement. As several endovascular devices, such as angiographic catheters, are inserted, the anatomy may be distorted. The distortion reduces the accuracy of the overlay. To overcome the mismatch, the aortic and the iliac meshes are adapted to a device seen in uncontrasted intraoperative fluoroscopic images using the skeletonbased as-rigid-as-possible (ARAP) method. The deformation was evaluated by comparing the distance between an ostium and the corresponding LM prior to and after the deformation. The central positions of the ostia were marked in digital subtraction angiography (DSA) images as ground truth. The mean Euclidean distance in the image plane was reduced from 19.81+/-17.14mm to 4.56+/-2.81 mm.}, author = {Toth, Daniel and Pfister, Marcus and Maier, Andreas and Kowarschik, Markus and Hornegger, Joachim}, booktitle = {18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I}, doi = {10.1007/978-3-319-24553-9{\_}42}, faupublication = {yes}, keywords = {computational geometry;as-rigid-as-possible;mesh deformation;abdominal aortic aneurysm;EVAR}, month = {Jan}, pages = {339-346}, peerreviewed = {unknown}, publisher = {Springer-verlag}, title = {{Adaption} of {3D} {Models} to {2D} {X}-{Ray} {Images} during {Endovascular} {Abdominal} {Aneurysm} {Repair}}, volume = {9349}, year = {2015} } @inproceedings{faucris.121221584, abstract = {We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint the projection data by diffusion. To overcome the problem of contour blurring we consider nonlinear and anisotropic diffusion based regularizers and include optical flow information in order to preserve the sinuodal traces corresponding to object contours in the reconstructed image. We compare our results to a spectral deconvolution based interpolation and show that the method can easily be extended to 3D, © 2006 IEEE.}, author = {Hornegger, Joachim and Köstler, Harald and Rüde, Ulrich and Prümmer, Marcus}, booktitle = {Proceedings of the ICPR 2006}, date = {2006-08-20/2006-08-24}, doi = {10.1109/ICPR.2006.225}, faupublication = {yes}, pages = {778-781}, peerreviewed = {unknown}, title = {{Adaptive} variational sinogram interpolation of sparsely sampled {CT} data}, venue = {Hong Kong}, volume = {3}, year = {2006} } @inproceedings{faucris.107362684, author = {Grimm, Robert and Court, Johannes and Fieselmann, Andreas and Block, Kai Tobias and Kiefer, Berthold and Hornegger, Joachim}, booktitle = {Proceedings of International Society for Magnetic Resonance in Medicine}, date = {2012-05-05/2012-05-11}, faupublication = {yes}, pages = {2559}, peerreviewed = {unknown}, title = {{A} {Digital} {Perfusion} {Phantom} for {T1}-weighted {DCE}-{MRI}}, venue = {Melbourne}, year = {2012} } @article{faucris.121176924, abstract = {We describe a fully automated method for tissue classification, which is the segmentation into cerebral gray matter (GM), cerebral white matter (WM), and cerebral spinal fluid (CSF), and intensity non-uniformity (INU) correction in brain magnetic resonance imaging (MRI) volumes. It combines supervised MRI modality-specific discriminative modeling and unsupervised statistical expectation maximization (EM) segmentation into an integrated Bayesian framework. While both the parametric observation models and the non-parametrically modeled INUs are estimated via EM during segmentation itself, a Markov random field (MRF) prior model regularizes segmentation and parameter estimation. Firstly, the regularization takes into account knowledge about spatial and appearance-related homogeneity of segments in terms of pairwise clique potentials of adjacent voxels. Secondly and more importantly, patient-specific knowledge about the global spatial distribution of brain tissue is incorporated into the segmentation process via unary clique potentials. They are based on a strong discriminative model provided by a probabilistic boosting tree (PBT) for classifying image voxels. It relies on the surrounding context and alignment-based features derived from a probabilistic anatomical atlas. The context considered is encoded by 3D Haar-like features of reduced INU sensitivity. Alignment is carried out fully automatically by means of an affine registration algorithm minimizing cross-correlation. Both types of features do not immediately use the observed intensities provided by the MRI modality but instead rely on specifically transformed features, which are less sensitive to MRI artifacts. Detailed quantitative evaluations on standard phantom scans and standard real-world data show the accuracy and robustness of the proposed method. They also demonstrate relative superiority in comparison to other state-of-the-art approaches to this kind of computational task: our method achieves average Dice coefficients of 0.93 ± 0.03 (WM) and 0.90 ± 0.05 (GM) on simulated mono-spectral and 0.94 ± 0.02 (WM) and 0.92 ± 0.04 (GM) on simulated multi-spectral data from the BrainWeb repository. The scores are 0.81± 0.09 (WM) and 0.82 ± 0.06 (GM) and 0.87 ± 0.05 (WM) and 0.83 ± 0.12 (GM) for the two collections of real-world data sets - consisting of 20 and 18 volumes, respectively - provided by the Internet Brain Segmentation Repository. © 2011 Institute of Physics and Engineering in Medicine.}, author = {Wels, Michael and Zheng, Yefeng and Huber, Martin and Hornegger, Joachim and Comaniciu, Dorin}, doi = {10.1088/0031-9155/56/11/007}, faupublication = {yes}, journal = {Physics in Medicine and Biology}, pages = {3269-3300}, peerreviewed = {Yes}, title = {{A} discriminative model-constrained em approach to {3D} {MRI} brain tissue classification and intensity non-uniformity correction}, volume = {56}, year = {2011} } @book{faucris.121203984, abstract = {In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation approach based on a Markov random field (MRF) model that combines probabilistic boosting trees (PBT) and lower-level segmentation via graph cuts. The PBT algorithm provides a strong discriminative observation model that classifies tumor appearance while a spatial prior takes into account the pair-wise homogeneity in terms of classification labels and multi-spectral voxel intensities. The discriminative model relies not only on observed local intensities but also on surrounding context for detecting candidate regions for pathology. A mathematically sound formulation for integrating the two approaches into a unified statistical framework is given. The proposed method is applied to the challenging task of detection and delineation of pediatric brain tumors. This segmentation task is characterized by a high non-uniformity of both the pathology and the surrounding non-pathologic brain tissue. A quantitative evaluation illustrates the robustness of the proposed method. Despite dealing with more complicated cases of pediatric brain tumors the results obtained are mostly better than those reported for current state-of-the-art approaches to 3-D MR brain tumor segmentation in adult patients. The entire processing of one multi-spectral data set does not require any user interaction, and takes less time than previously proposed methods. © 2008 Springer-Verlag Berlin Heidelberg.}, address = {Berlin}, author = {Wels, Michael and Carneiro, Gustavo and Aplas, Alexander and Huber, Martin and Hornegger, Joachim and Comaniciu, Dorin}, doi = {10.1007/978-3-540-85988-8{\_}9}, faupublication = {yes}, isbn = {3-540-44707-5}, note = {UnivIS-Import:2015-04-16:Pub.2008.tech.IMMD.IMMD5.adiscr}, pages = {67-75}, peerreviewed = {Yes}, publisher = {Springer-verlag}, series = {Lecture Notes on Computer Science}, title = {{A} discriminative model-constrained graph cuts approach to fully automated pediatric brain tumor segmentation in 3-{D} {MRI}}, volume = {5241}, year = {2008} } @inproceedings{faucris.111084644, address = {Chemnitz}, author = {Husvogt, Lennart and Maier, Andreas and Hornegger, Joachim}, booktitle = {Proceedings of the 10th Joint Workshop of the German Research Training Groups in Computer Science}, editor = {Benedikt Etzold, René Richter, Maximilian Eibl, Wolfgang Lehner}, faupublication = {yes}, isbn = {978-3-944640-88-4}, note = {UnivIS-Import:2017-12-18:Pub.2016.tech.IMMD.IMMD5.advanc}, pages = {71}, peerreviewed = {unknown}, publisher = {Universitätsverlag Chemnitz}, title = {{Advanced} {Image} {Processing} for {Optical} {Coherence} {Tomography} {Angiography}}, venue = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik}, year = {2016} } @inproceedings{faucris.121191224, abstract = {Tomographic perfusion imaging is a well accepted method for stroke diagnosis that is available with current CT and MRI scanners. A challenging new method, which is currently not available, is perfusion imaging with an interventional C-arm CT that can acquire 4-D images using a C-arm angiography system. This method may help to optimize the workflow during catheter-guided stroke treatment. The main challenge in perfusion C-arm CT is the comparably slow rotational speed of the C-arm (approximately 5 seconds) which decreases the overall temporal resolution. In this work we present a dynamic reconstruction approach optimized for perfusion C-arm CT based on temporal estimation of partially backprojected volumes. We use numerical simulations to validate the algorithm: For a typical configuration the relative error in estimated arterial peak enhancement decreases from 14.6% to 10.5% using the dynamic reconstruction. Furthermore we present initial results obtained with a clinical C-arm CT in a pig model. © 2010 IEEE.}, author = {Fieselmann, Andreas and Ganguly, Arundhuti and Deuerling-Zheng, Yu and Zellerhoff, Maria and Boese, Jan and Hornegger, Joachim and Fahrig, Rebecca}, booktitle = {7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010}, doi = {10.1109/ISBI.2010.5490417}, faupublication = {yes}, pages = {53-56}, peerreviewed = {unknown}, title = {{A} dynamic reconstruction approach for cerebral blood flow quantification with an interventional {C}-arm {CT}}, venue = {Rotterdam}, volume = {null}, year = {2010} } @article{faucris.121208604, abstract = {In this paper, we introduce a new algorithm for 3-D image reconstruction from cone-beam (CB) projections acquired along a partial circular scan. Our algorithm is based on a novel, exact factorization of the initial 3-D reconstruction problem into a set of independent 2-D inversion problems, each of which corresponds to finding the object density on one, single plane. Any such 2-D inversion problem is solved numerically using a projected steepest descent iteration scheme. We present a numerical evaluation of our factorization algorithm using computer-simulated CB data, without and with noise, of the FORBILD head phantom and of a disk phantom. First, we study quantitatively the impact of the reconstruction parameters on the algorithm performance. Next, we present reconstruction results for visual assessment of the achievable image quality and provide, for comparison, results obtained with two other state-of-the-art reconstruction algorithms for the circular short-scan. © 2006 IEEE.}, author = {Dennerlein, Frank and Noo, Frederic and Schoendube, Harald and Lauritsch, Günter and Hornegger, Joachim}, doi = {10.1109/TMI.2008.922705}, faupublication = {yes}, journal = {IEEE Transactions on Medical Imaging}, pages = {887-896}, peerreviewed = {Yes}, title = {{A} factorization approach for cone-beam reconstruction on a circular short-scan}, volume = {27}, year = {2008} } @inproceedings{faucris.120193744, abstract = {Interventional perfusion imaging with a C-arm angiography system capable of 3-D imaging (C-arm CT) could optimize the clinical workflow during stroke treatment. Acquisition times are currently of the order of several seconds per shortscan and filtered backprojection reconstruction artifacts can arise due to the time-dependence of the attenuation values. In this paper, we present a novel formalism to model reconstruction artifacts by a spatio-temporal filter in the object domain. The filter consists of terms that depend on the temporal derivatives of the attenuation values. Using this model, artifacts due to time-dependent attenuation values can be well explained and studied. We apply the filter model to analyze redundancy weighting schemes in order to reduce these artifacts. Furthermore, this model could be the basis to develop new dynamic reconstruction algorithms. © 2010 IEEE.}, author = {Fieselmann, Andreas and Dennerlein, Frank and Deuerling-Zheng, Yu and Boese, Jan and Fahrig, Rebecca and Hornegger, Joachim}, booktitle = {2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010}, doi = {10.1109/NSSMIC.2010.5874181}, faupublication = {yes}, pages = {2239-2242}, peerreviewed = {unknown}, title = {{A} filter model to analyze reconstruction artifacts in perfusion {C}-arm {CT}}, venue = {Knoxville, TN}, volume = {null}, year = {2010} } @inproceedings{faucris.121436524, author = {Brost, Alexander and Bourier, Felix and Kleinöder, Andreas and Raab, Jens and Koch, Martin and Stamminger, Marc and Hornegger, Joachim and Strobel, Norbert and Kurzidim, Klaus}, booktitle = {VMV}, date = {2011-10-04/2011-10-06}, editor = {EUROGRAPHICS - European Association For Computer Graphics}, faupublication = {yes}, pages = {223-230}, peerreviewed = {unknown}, title = {{AFiT} - {Atrial} {Fibrillation} {Ablation} {Planning} {Tool}}, venue = {Berlin}, year = {2011} } @article{faucris.119282504, abstract = {In this contribution we describe an object-oriented software architecture for image segmentation, 3-D pose estimation as well as Bayesian object recognition: models are represented by densities, model generation corresponds to parameter estimation tasks, and the identification applies the Bayesian decision rule. We show results of 3-D object recognition experiments based on the observation of 2-D points or lines. © 1997 Elsevier Science B.V.}, author = {Paulus, Dietrich and Hornegger, Joachim and Niemann, Heinrich}, doi = {10.1016/S0167-8655(97)00139-6}, faupublication = {yes}, journal = {Pattern Recognition Letters}, pages = {1153-1157}, peerreviewed = {Yes}, title = {{A} framework for statistical 3-{D} object recognition}, volume = {18}, year = {1997} } @article{faucris.121134024, author = {El-Rafei, Ahmed Mohamed Ibrahim and Engelhorn, Tobias and Wärntges, Simone and Dörfler, Arnd and Hornegger, Joachim and Michelson, Georg}, doi = {10.1016/j.mri.2011.02.034}, faupublication = {yes}, journal = {Magnetic Resonance Imaging}, note = {EVALuna2:21060}, pages = {1076-1087}, peerreviewed = {Yes}, title = {{A} framework for voxel-based morphometric analysis of the optic radiation using diffusion tensor imaging in glaucoma}, volume = {29}, year = {2011} } @inproceedings{faucris.107892884, abstract = {Tomographic reconstruction is the process of reconstructing a 3-D object or its cross section from several of its 2-D projection images. The object is illuminated by a cone-beam of Xrays, where the signal is attenuated by the object. Due to its speed filtered back projection (FBP) still is state-of-the-art in 3-D reconstruction for clinical use where time matters. But considering the accuracy and number of projections required for FBP, as shown in [1], an algebraic reconstruction technique (ART) is superior. Our current focus lies on 3-D angiography using C-arm systems. But this new approach should also be applicable on many real world reconstruction problems. Within ART, the object is represented as a linear combination of basis functions, typically voxels, with some unknown coefficients. The observations can also be expressed as a linear combination of these coefficients. This results in a linear system of equations with a sparse system matrix, because each X-ray intensity observation is influenced only by the pixels on the corresponding beam path. If enough measures are available, one has an over-determined system, which is solved in the leastsquares sense. On the other hand, if there are not enough measures in a region to determine the coefficient values, one is faced with an under-determined problem. In this case, one solves the regularized version of the problem which supplies the additional constraints. Due to the large number of unknowns in real applications, an iterative instead of a direct linear solver has to be used. Techniques such as Kaczmarz’s algorithm or CAV (component averaging) are currently used as iterative solvers, but for large problems, their computational costs are high. In addition, these solvers tend to improve the solution very much only in the first few iterations. An efficient ART is therefore essential to compete with FBP successfully. In this paper we think of these iterative methods as smoothers within a multigrid solver. It should be noted that because of the structure of the system matrix, the standard multigrid theory is not applicable here. The additional ingredients of the multigrid method are coarser versions of the problem on different levels, interpolation and restriction operators. For the coarser problems, we uniformly reduce the number of rays and the number of voxels while keeping the overall volume constant. Furthermore, we use trilinear interpolation and full weighting as restriction. Full multigrid is then accomplished by starting on each level the V-cycle with an initial guess for the solution that is interpolated from the next coarser level. Our experiments show that we are able to reduce the relative error to a certain size by less Kaczmarz smoothing steps on the finest level when using the multigrid method instead of the common Kaczmarz algorithm. We present results for real medical datasets and compare our multigrid method with Kaczmarz and CAV on a phantom. One of the next steps will be to detail the theory for our multigrid method in order to get estimates for the asymptotic convergence rates.}, address = {Erlangen}, author = {Prümmer, Marcus and Köstler, Harald and Hornegger, Joachim and Rüde, Ulrich}, booktitle = {Frontiers in Simulation}, date = {2005-09-12/2005-09-15}, editor = {Hülsemann Frank, Kowarschik Markus, Rüde Ulrich}, faupublication = {yes}, pages = {632-637}, peerreviewed = {unknown}, publisher = {SCS Publishing House e.V.}, title = {{A} full multigrid technique to accelerate an {ART} scheme for tomographic image reconstruction}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Pruemmer05-AFM.pdf}, venue = {Erlangen}, year = {2005} } @inproceedings{faucris.279674752, abstract = {Subarachnoid hemorrhage due to a ruptured cerebral aneurysm is still a devastating disease. Planning of endovascular aneurysm therapy is increasingly based on hemodynamic simulations necessitating reliable vessel segmentation and accurate assessment of vessel diameters. In this work, we propose a fully-automatic, locally adaptive, gradient-based thresholding algorithm. Our approach consists of two steps. First, we estimate the parameters of a global thresholding algorithm using an iterative process. Then, a locally adaptive version of the approach is applied using the estimated parameters. We evaluated both methods on 8 clinical 3D DSA cases. Additionally, we propose a way to select a reference segmentation based on 2D DSA measurements. For large vessels such as the internal carotid artery, our results show very high sensitivity (97.4%), precision (98.7%) and Dice-coefficient (98.0%) with our reference segmentation. Similar results (sensitivity: 95.7%, precision: 88.9% and Dice-coefficient: 90.7%) are achieved for smaller vessels of approximately 1mm diameter.}, author = {Bögel, Marco and Hölter, Philip and Redel, Thomas and Maier, Andreas and Hornegger, Joachim and Dörfler, Arnd}, booktitle = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS}, date = {2015-08-25/2015-08-29}, doi = {10.1109/EMBC.2015.7318779}, faupublication = {yes}, isbn = {9781424492718}, note = {CRIS-Team Scopus Importer:2022-08-05}, pages = {2006-2009}, peerreviewed = {unknown}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, title = {{A} fully-automatic locally adaptive thresholding algorithm for blood vessel segmentation in {3D} digital subtraction angiography}, venue = {Milan, ITA}, volume = {2015-November}, year = {2015} } @article{faucris.117721164, abstract = {Three-dimensional (3-D) reconstruction of histological slice sequences offers great benefits in the investigation of different morphologies. It features very high-resolution which is still unmatched by in vivo 3-D imaging modalities, and tissue staining further enhances visibility and contrast. One important step during reconstruction is the reversal of slice deformations introduced during histological slice preparation, a process also called image unwarping. Most methods use an external reference, or rely on conservative stopping criteria during the unwarping optimization to prevent straightening of naturally curved morphology. Our approach shows that the problem of unwarping is based on the superposition of low-frequency anatomy and high-frequency errors. We present an iterative scheme that transfers the ideas of the Gauss-Seidel method to image stacks to separate the anatomy from the deformation. In particular, the scheme is universally applicable without restriction to a specific unwarping method, and uses no external reference. The deformation artifacts are effectively reduced in the resulting histology volumes, while the natural curvature of the anatomy is preserved. The validity of our method is shown on synthetic data, simulated histology data using a CT data set and real histology data. In the case of the simulated histology where the ground truth was known, the mean Target Registration Error (TRE) between the unwarped and original volume could be reduced to less than 1 pixel on average after six iterations of our proposed method.}, author = {Gaffling, Simone and Daum, Volker and Steidl, Stefan and Maier, Andreas and Köstler, Harald and Hornegger, Joachim}, doi = {10.1109/TMI.2014.2361784}, faupublication = {yes}, journal = {IEEE Transactions on Medical Imaging}, keywords = {3-D histology; Gauss-Seidel; reconstruction; reference-free; registration}, note = {UnivIS-Import:2015-03-09:Pub.2015.tech.IMMD.IMMD5.agauss}, pages = {1-17}, peerreviewed = {Yes}, title = {{A} {Gauss}-{Seidel} {Iteration} {Scheme} for {Reference}-{Free} 3-{D} {Histological} {Image} {Reconstruction}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Gaffling15-AGI.pdf}, volume = {34/2015}, year = {2015} } @book{faucris.121196284, abstract = {Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal distribution of data. Often, such assumptions are inadequate and limit a broader application. We propose here a novel probabilistic active shape model for organ segmentation, which is entirely built upon non-parametric density estimates. In particular, a nearest neighbor boundary appearance model is complemented by a cascade of boosted classifiers for region information and combined with a shape model based on Parzen density estimation. Image and shape terms are integrated into a single level set equation. Our approach has been evaluated for 3-D liver segmentation using a public data base originating from a competition (http://sliver07.org). With an average surface distance of 1.0 mm and an average volume overlap error of 6.5 %, it outperforms other automatic methods and provides accuracy close to interactive ones. Since no adaptions specific to liver segmentation have been made, our probabilistic active shape model can be applied to other segmentation tasks easily. © 2009 Springer-Verlag.}, address = {Berlin Heidelberg}, author = {Wimmer, Andreas and Soza, Grzegorz and Hornegger, Joachim}, doi = {10.1007/978-3-642-04271-3{\_}4}, faupublication = {yes}, isbn = {3-642-04270-8}, keywords = {Segmentation; Active Shape Model; Level Set; Probabilistic; Liver}, note = {UnivIS-Import:2015-04-16:Pub.2009.tech.IMMD.IMMD5.agener}, pages = {26-33}, peerreviewed = {Yes}, publisher = {Springer-verlag}, title = {{A} generic probabilistic active shape model for organ segmentation}, volume = {null}, year = {2009} } @book{faucris.311098410, abstract = {Artificial intelligence has the potential to fundamentally transform medicine. Even as of today, AI programs show that they can outperform doctors in the evaluation of medical imaging data. Sensor-based monitoring in combination with self-learning algorithms shifts the focus increasingly from the clinic to the home environment, from therapy to prevention. The systematic analysis of structured information using data mining methods provides new insights into the causes of diseases and the success of medical interventions and therapies. The key will be how information is integrated in the future and how the individual retains sovereignty over his or her data.}, author = {Hornegger, Joachim}, doi = {10.1007/978-3-658-40232-7{\_}33}, faupublication = {yes}, isbn = {9783658402327}, month = {Jan}, note = {CRIS-Team Scopus Importer:2023-09-29}, peerreviewed = {unknown}, publisher = {Springer Fachmedien Wiesbaden}, title = {{AI} {Makes} {Medicine} {More} {Efficient}, {Individual} and {Preventive}}, year = {2023} } @article{faucris.213040285, abstract = {PurposeBenefiting from multi-energy x-ray imaging technology, material decomposition facilitates the characterization of different materials in x-ray imaging. However, the performance of material decomposition is limited by the accuracy of the decomposition model. Due to the presence of nonideal effects in x-ray imaging systems, it is difficult to explicitly build the imaging system models for material decomposition. As an alternative, this paper explores the feasibility of using machine learning approaches for material decomposition tasks.}, author = {Lu, Yanye and Kowarschik, Markus and Huang, Xiaolin and Xia, Yan and Choi, Jang-Hwan and Chen, Shuqing and Hu, Shiyang and Ren, Qiushi and Fahrig, Rebecca and Hornegger, Joachim and Maier, Andreas}, doi = {10.1002/mp.13317}, faupublication = {yes}, journal = {Medical Physics}, note = {CRIS-Team WoS Importer:2019-03-12}, pages = {689-703}, peerreviewed = {Yes}, title = {{A} learning-based material decomposition pipeline for multi-energy x-ray imaging}, volume = {46}, year = {2019} } @inproceedings{faucris.121426184, author = {Stürmer, Michael and Seiler, Claude and Becker, Guido and Hornegger, Joachim}, booktitle = {ISB2011 Brussels, Conference book Program & Abstracts}, date = {2011-07-03}, editor = {Serge Van Sint Jan, Veronique Feipel, Dirk Aerenhouts, Jean-Pierre Baeyenes, Alain Carpentier, Erik Cattrysse, Jan-Pieter Clarys, Jacques Duchateau, Nathalie Guissard, Thierry Leloup, Steven Provyn, Marcel Rooze, Aldo Scafoglieri, Frederic Schuind, Peter Van Roy, Nadine Warzee}, faupublication = {yes}, pages = {205.0}, peerreviewed = {unknown}, title = {{Alignment} of multiple {Time}-of-{Flight} {3D} {Cameras} for {Reconstruction} of walking feet}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Stuermer11-AOM.pdf}, venue = {Brussels}, year = {2011} } @inproceedings{faucris.107896184, address = {Berlin}, author = {Weber, Stefan and Schüle, Thomas and Schnörr, Christoph and Hornegger, Joachim}, booktitle = {Bildverarbeitung für die Medizin 2003}, doi = {10.1007/978-3-642-18993-7{\_}9}, editor = {Wittenberg Thomas, Hastreiter Peter, Handels Heinz, Horsch A., Meinzer H.-P.}, faupublication = {yes}, pages = {41-45}, peerreviewed = {unknown}, publisher = {Springer}, title = {{A} linear programming approach to limited angle 3d reconstruction from dsa- projections}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2003/Weber03-ALPA.pdf}, venue = {Berlin}, year = {2003} } @article{faucris.120208484, abstract = {Objectives: We investigate the feasibility of binary-valued 3D tomographic reconstruction using only a small number of projections acquired over a limited range of angles. Methods: Regularization of this strongly ill-posed problem is achieved by (i) confining the reconstruction to binary vessel/non-vessel decisions, and (ii) by minimizing a global functional involving a smoothness prior. Results: Our approach successfully reconstructs volumetric vessel structures from three projections taken within 90°. The percentage of reconstructed voxels differing from ground truth is below 1%. Conclusion: We demonstrate that for particular applications - like Digital Subtraction Angiography - 3D reconstructions are possible where conventional methods must fail, due to a severely limited imaging geometry. This could play an important role for dose reduction and 3D reconstruction using non-conventional technical setups.}, author = {Weber, Stefan and Schüle, Thomas and Schnörr, Christoph and Hornegger, Joachim}, doi = {10.1267/METH04040320}, faupublication = {yes}, journal = {Methods of Information in Medicine}, note = {UnivIS-Import:2015-03-09:Pub.2004.tech.IMMD.IMMD5.alinea}, pages = {320-326}, peerreviewed = {Yes}, title = {{A} linear programming approach to limited angle {3D} recostruction from {DSA} projections}, volume = {43}, year = {2004} } @inproceedings{faucris.108045784, author = {Weber, Stefan and Schnörr, Christoph and Hornegger, Joachim}, booktitle = {Proc. of 9th International Workshop on Combinatorial Image Analysis}, editor = {A. Kuba, A. Del Lungo, V. Di Gesu}, faupublication = {yes}, pages = {1-15}, peerreviewed = {unknown}, title = {{A} linear programming relaxation for binary tomography with smoothness priors}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2003/Weber03-ALPR.pdf}, venue = {Palermo}, year = {2003} } @misc{faucris.117645484, author = {Weber, Stefan and Schnörr, Christoph and Hornegger, Joachim}, faupublication = {yes}, note = {UnivIS-Import:2016-06-30:Pub.2002.tech.IMMD.IMMD5.alinea}, peerreviewed = {automatic}, title = {{A} linear programming relaxation for binary tomography with smoothness priors}, year = {2002} } @article{faucris.121148544, author = {Fieselmann, Andreas and Dennerlein, Frank and Deuerling-Zheng, Yu and Boese, Jan and Fahrig, Rebecca and Hornegger, Joachim}, doi = {10.1088/0031-9155/56/12/016}, faupublication = {yes}, journal = {Physics in Medicine and Biology}, pages = {3701-3717}, peerreviewed = {Yes}, title = {{A} model for filtered backprojection reconstruction artifacts due to time-varying attenuation values in perfusion {C}-arm {CT}}, volume = {56}, year = {2011} } @inproceedings{faucris.121338404, author = {Schmitt, Katharina and Schöndube, Harald and Stierstorfer, Karl and Hornegger, Joachim and Noo, Frédéric}, booktitle = {Proceedings of the second international conference on image formation in x-ray computed tomography}, date = {2012-06-24/2012-06-27}, editor = {Noo Frédéric}, faupublication = {yes}, pages = {288-292}, peerreviewed = {unknown}, title = {{Analysis} of bias induced by various forward projection models in iterative reconstruction}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Schmitt12-AOB.pdf}, venue = {Salt Lake City, UT}, year = {2012} } @inproceedings{faucris.111771484, abstract = {In X-ray Computed Tomography (CT) the measured projections and consequently the reconstructed CT images are subject to quantum and electronics noise. While noise in the projections can be well described and estimated with a corresponding physics model, the distribution of noise in the reconstructed CT images is not directly evident. Due to attenuation variations along different directions, the nature of noise in CT images is nonstationary and directed. This complicates the direct application of standard post-processing methods like bilateral filtering. this article we describe a possibUity to compute precise orientation dePendent noise estimates for every pixel position. This is done by analytic propagation of projection noise estimates through indirect fan-beam filtered backprojection reconstruction. The resulting orientation dePendent image noise estimates are subsequently used in adaptive bUateral filters. Taking into account the non-stationary and non-isotropic nature of noise in CT images, an averag improvement in SNR of about 60% is achieved compared to linear filtering at the same resolution. ©2008 IEEE.}, author = {Borsdorf, Anja and Kappler, Steffen and Raupach, Rainer and Hornegger, Joachim}, booktitle = {2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008}, doi = {10.1109/NSSMIC.2008.4774438}, faupublication = {yes}, pages = {5335-5338}, peerreviewed = {unknown}, title = {{Analytic} noise propagation for anisotropic denoising of ct images}, venue = {Dresden}, volume = {null}, year = {2008} } @inproceedings{faucris.121204424, abstract = {Precise knowledge of the local image noise is an essential ingredient to efficient application of post-processing methods such as wavelet or diffusion filtering to computed tomography (CT) images. The non-stationary, object dependent nature of noise in CT images is a direct result from the noise present in the projection data. Since quantum and electronics noise are the dominating noise sources, comparably simple models can be used for direct noise estimates in the individual projections. In this article, we describe the analytic propagation of these noise estimates through fan-beam filtered backprojection (FBP) reconstruction. Contrary to earlier publications in this field, we include the correlations within the parallel projections resulting from the rebinning, the convolution, and the backprojection processes. The method has been validated against Monte-Carlo results and good accuracy with an average relative error below 3.6% was achieved for arbitrary objects and over the full range of commonly used convolution kernels and field-of-view settings.}, author = {Borsdorf, Anja and Kappler, Steffen and Raupach, Rainer and Hornegger, Joachim}, booktitle = {Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE}, date = {2008-08-20/2008-08-25}, doi = {10.1109/IEMBS.2008.4649759}, faupublication = {yes}, pages = {2701-2704}, peerreviewed = {unknown}, title = {{Analytic} noise-propagation in indirect fan-beam {FBP} reconstruction}, venue = {Vancouver, BC}, volume = {2008}, year = {2008} } @article{faucris.121175384, abstract = {Software-based image registration can improve the diagnostic value of imaging procedures and is an alternative to hybrid scanners. The aim of this study was to evaluate the anatomical accuracy of automatic rigid image registration of independently acquired datasets of positron emission tomography with F-deoxyglucose and abdominal magnetic resonance imaging. Patients, methods: Analyses were performed on 28 abdominal lesions from 20 patients. The PET data were obtained using a stand-alone PET camera in 14 cases and a hybrid PET/CT scanner in 9 cases. The abdominal T1- and T2-weighted MRI scans were acquired on 1.5 T MRI scanners. The mean time interval between MRI and PET was 7.3 days (0-28 days). Automatic rigid registration was carried out using a self-developed registration tool integrated into commercial available software (InSpace for Siemens Syngo). Distances between the centres of gravity of 28 manually delineated neoplastic lesions represented in PET and MRI were measured in X-, Y-, and Z-direction. The intra- (intraclass correlation 0.94) and inter- (intraclass correlation 0.86) Positronenemissionsobserver repeatability were high. Results: The average distance in all MRI sequences was 5.2 ± 7.6 mm in X-direction, 4. ± 3.7 mm in Y-direction and 6.1 ± 5.1 mm in Z-direction. There was a significantly higher misalignment in Z-direction (p < 0.05). The misalignment was not significantly different for the registration of T1- and T2- weighted sequences (p = 0.7). Conclusion: The misalignment between FDG-PET and abdominal MRI registered using an automated rigid registration tool was comparable to data reported for software-based fusion between PET and CT. Although this imprecision may not affect diagnostic accuracy, it is not sufficient to allow for pixel-wise integration of MRI and PET information. © Schattauer 2011.}, author = {Kiefer, Alexander and Kuwert, Torsten and Hahn, Dieter and Hornegger, Joachim and Uder, Michael and Ritt, Philipp}, doi = {10.3413/nukmed-0364}, faupublication = {yes}, journal = {Nuklearmedizin-Nuclear Medicine}, pages = {147-154}, peerreviewed = {Yes}, title = {{Anatomical} accuracy of abdominal lesion localization: {Retrospective} automatic rigid image registration between {FDG}-{PET} and {MRI}}, volume = {50}, year = {2011} } @article{faucris.107420544, abstract = {Aim: Comparison of anatomical accuracy of software-based interactive (IRR) and automated rigid registration (ARR) of separately acquired CT and FDG-PET data sets. Patients, methods: Independently acquired PET and helical CT data from 22 tumour patients were registered manually using the Syngo advanced Fusion VC20H tool. IRR was performed separately for the thorax and the abdomen using physiological FDG uptake in several organs as a reference. In addition, ARR was performed with the commercially available software tool Mirada 7D on all of the patients. For both methods, the distances between the representation of 53 malignant lesions on PET and CT were measured in X-, Y-, and Z-direction with reference to a common coordinate system (X-, Y-, Z-distances). Results: The percentage of lesions misregistered by less than 1.5 cm was in X-direction 91% for IRR and 89% for ARR; in Y-direction 85% and 68%; in Z-direction 72% and 51%, respectively. The average X-, Y- and Z-distances for IRR ranged from 0.58 ± 0.55 cm (X-direction) to 1.17 ± 1.66 cm (Z-direction). For ARR, the average X-, Y- and Z-distances varied between 0.66 ± 0.61 cm (X-direction) and 1.81 ± 1.37 cm (Z-direction). Mixed effects analysis of the absolute X-, Y- and Z-distances revealed a significantly better alignment for IRR compared to ARR in Z-direction (p <0.01). Lesion size and localization either in thorax or abdomen had no significant influence on the accuracy of registration. Conclusion: For the majority of malignant lesions, manual image registration with the possibility to separately align different body segments was more accurate than the automated approach. Current software for ARR does not reach the anatomical accuracy reported for PET/CT hybrid scanners. © 2007 Schattauer GmbH.}, author = {Wolz, Gabriele and Nömayr, Anton and Hothorn, Torsten and Hornegger, Joachim and Römer, Wolfgang and Bautz, Werner and Kuwert, Torsten}, faupublication = {yes}, journal = {Nuklearmedizin-Nuclear Medicine}, pages = {43-48}, peerreviewed = {Yes}, title = {{Anatomical} accuracy of interactive and automated rigid registration between {X}-ray {CT} and {FDG}-{PET}}, url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-33847712272&origin=inward}, volume = {46}, year = {2007} } @article{faucris.121482944, author = {Nömayr, Anton and Römer, Wolfgang and Hothorn, Torsten and Pfahlberg, Annette and Hornegger, Joachim and Bautz, Werner and Kuwert, Torsten}, faupublication = {yes}, journal = {Nuklearmedizin-Nuclear Medicine}, pages = {149-155}, peerreviewed = {Yes}, title = {{Anatomical} accuracy of lesion localization}, volume = {44.0}, year = {2005} } @article{faucris.111819004, abstract = {The aim of this study was to evaluate the anatomical accuracy and reproducibility of retrospective interactive rigid image registration (RIR) between routinely archived X-ray computer tomography (CT) and positron emission tomography performed with F-deoxyglucose (FDG-PET) in oncological patients. Methods: Two observers registered PET and CT data obtained in 37 patients using a commercially available image fusion tool. RIR was performed separately for the thorax and the abdomen using physiological FDG uptake in several organs as a reference. One observer performed the procedure twice (O1a and O1b), another person once (O2). For 94 malignant lesions, clearly visible in CT and PET, the signed and absolute distances between their representation on PET and CT were measured in X-, Y-, and Z-direction with reference to a coordinate system centered in the CT representation of each lesion (X-, Y-, Z-distances). Results: The mean differences of the signed and absolute distances between O1a, O1b, and O2 did not exceed 3 mm in any dimension. The absolute X-, Y-, and Z-distances ranged between 0.57 ± 0.58 cm for O1a (X-direction) and 1.12 ± 1.28 cm for O2 (Z-direction). When averaging the absolute distances measured by O1a, O1b, and O2, the percentage of lesions misregistered by less than 1.5 cm was 91% for the X-, 88% for the Y-, and 77% for the Z-direction. The larger error of fusion determined for the remaining lesions was caused by non-rigid body transformations due to differences in breathing, arm position, or bowel movements between the two examinations. Mixed effects analysis of the signed and absolute X-, Y-, and Z-distances disclosed a significantly greater mis-alignment in the thorax than in the abdomen as well as axially than transaxially. Conclusion: The anatomical inaccuracy of RIR can be expected to be < 1.5 cm for the majority of neoplastic foci. Errors of alignment are bigger in the thorax and in Z-direction, due to non-rigid body transformations caused, e.g., by breathing. © 2005 Schattauer GmbH.}, author = {Nömayr, Anton and Römer, Wolfgang and Hothorn, Torsten and Pfahlberg, Annette and Hornegger, Joachim and Bautz, Werner and Kuwert, Torsten}, doi = {10.1267/NUKL05040149}, faupublication = {yes}, journal = {Nuklearmedizin-Nuclear Medicine}, pages = {149-155}, peerreviewed = {Yes}, title = {{Anatomical} accuracy of lesion localization: {Retrospective} interactive rigid image registration {between18F}-{FDG}-{PET} and {X}-ray {CT}}, volume = {44}, year = {2005} } @inproceedings{faucris.107375224, abstract = {State-of the art Non Destructive Testing using ultrasound is based on evaluation of C-scan images, which is done mainly visually. The development of the new Sampling Phased Array technique SPA by IZFP Fraunhofer provides a fast three-dimensional reconstruction of inner object structures. This new inspection technique is to be complemented with fully or semi-automated evaluation of ultrasonic data, providing maximum support to the operator. We present in this contribution a processing method for SPA ultrasonic data, where the main focus of this paper will be on speckle noise reduction. The evaluation method is applied on carbon fibre composite where it demonstrates robust and successful performance in recognition of defects.}, author = {Osman, Ahmad and Haßler, Ulf and Kaftandjian, Valerie and Hornegger, Joachim}, booktitle = {International Symposium on Ultrasound in the Control of Industrial Processes, UCIP 2012}, doi = {10.1088/1757-899X/42/1/012005}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, publisher = {Institute of Physics: Open Access Journals / IOP Publishing}, title = {{An} automated data processing method dedicated to {3D} ultrasonic non destructive testing of composite pieces}, venue = {Madrid}, volume = {42}, year = {2012} } @inproceedings{faucris.203847315, abstract = {Purpose : Several studies demonstrated the utility of optical coherence tomography angiography (OCTA) in evaluating vascular abnormalities in patients with diabetic retinopathy (DR). Thus far, automatic quantitative analysis has focused on measurements of the foveal avascular zone (FAZ) and capillary density. Analysis of the intercapillary areas (ICA) of the perifoveum using manual segmentation has also been demonstrated. The purpose of this study is to develop a fully automated algorithm for quantifying retinal perfusion impairment using ICA displayed on OCTA images. The longer term objective is to develop sensitive and robust metrics for the diagnosis of DR and to quantify DR progression.
Methods : A 1050 nm, 400 kHz swept-source (SS)-OCT system was used to perform OCTA imaging of 89 eyes from 51 diabetic patients and 63 eyes from 32 normal subjects. Of the 89 eyes from diabetic patients, 51 eyes had no clinically detected retinopathy, 29 eyes had non-proliferative diabetic retinopathy (NPDR), and 9 eyes had proliferative diabetic retinopathy (PDR). OCTA en face images of the retinal vasculature were generated. The vessel structure in each image was highlighted using a vesselness filter; next, a binary image was obtained through a marching algorithm designed to exploit continuity constraints. Finally, the ICA were determined via connected components and subsequently used to generate false color images highlighting areas of non-perfusion.
Results : Representative ICA maps for a normal eye and a NPDR eye are shown in Figure 1. The ICA maps can visualize areas of non-perfusion and enable rapid assessment of the vascular changes that occur in DR. Similar, but less pronounced changes were observed in eyes of diabetics without retinopathy.
Conclusions : A fully automatic algorithm for quantifying ICA in OCTA images was developed. Preliminary results suggest ICA may be a useful metric for assessing diabetes and DR. Further work is needed to develop quantitative measures, validate the algorithm, and evaluate robustness in the presence of OCTA image artifact},
author = {Schottenhamml, Julia and Moult, Eric M. and Ploner, Stefan and Lee, Byungkun and Lu, Chen D. and Husvogt, Lennart and Waheed, Nadia K. and Duker, Jay S. and Hornegger, Joachim and Fujimoto, James G.},
booktitle = {Investigative Ophthalmology & Visual Science},
date = {2016-05-01/2016-05-05},
edition = {12},
faupublication = {yes},
keywords = {oct;octa;oct angiography;diabetic retinopathy;intercapillary area},
note = {UnivIS-Import:2018-09-11:Pub.2016.tech.IMMD.IMMD5.anauto},
pages = {5960},
peerreviewed = {Yes},
title = {{An} automatic algorithm measuring the retinal intercapillary area to assess diabetic retinopathy},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Schottenhamml16-AAA.pdf},
venue = {Seattle, WA, USA},
volume = {57},
year = {2016}
}
@article{faucris.110062964,
abstract = {Purpose: To develop a robust, sensitive, and fully automatic algorithm to quantify diabetes-related capillary dropout using optical coherence tomography (OCT) angiography (OCTA). Methods: A 1,050-nm wavelength, 400 kHz A-scan rate swept-source optical coherence tomography prototype was used to perform volumetric optical coherence tomography angiography imaging over 3 mm × 3 mm fields in normal controls (n = 5), patients with diabetes without diabetic retinopathy (DR) (n = 7), patients with nonproliferative diabetic retinopathy (NPDR) (n = 9), and patients with proliferative diabetic retinopathy (PDR) (n = 5); for each patient, one eye was imaged. A fully automatic algorithm to quantify intercapillary areas was developed. Results: Of the 26 evaluated eyes, the segmentation was successful in 22 eyes (85%). The mean values of the 10 and 20 largest intercapillary areas, either including or excluding the foveal avascular zone, showed a consistent trend of increasing size from normal control eyes, to eyes with diabetic retinopathy but without diabetic retinopathy, to nonproliferative diabetic retinopathy eyes, and finally to PDR eyes. Conclusion: Optical coherence tomography angiography-based screening and monitoring of patients with diabetic retinopathy is critically dependent on automated vessel analysis. The algorithm presented was able to automatically extract an intercapillary areabased metric in patients having various stages of diabetic retinopathy. Intercapillary areabased approaches are likely more sensitive to early stage capillary dropout than vascular density-based method},
author = {Schottenhamml, Julia and Moult, Eric M. and Ploner, Stefan and Lee, Byungkun and Novais, Eduardo A. and Cole, Emily D. and Dang, Sabin and Lu, Chen D. and Husvogt, Lennart and Waheed, Nadia K. and Duker, Jay S. and Hornegger, Joachim and Fujimoto, James G.},
doi = {10.1097/IAE.0000000000001288},
faupublication = {yes},
journal = {Retina (Philadelphia, Pa.)},
keywords = {Capillary dropout; Diabetic retinopathy; Intercapillary area; Optical coherence tomography; Optical coherence tomography angiography},
note = {UnivIS-Import:2017-12-18:Pub.2016.tech.IMMD.IMMD5.anauto{\_}6},
pages = {S93-S101},
peerreviewed = {Yes},
title = {{An} {Automatic}, {Intercapillary} {Area}-based {Algorithm} for {Quantifying} {Diabetes}-related {Capillary} {Dropout} {Using} {Optical} {Coherence} {Tomography} {Angiography}},
url = {https://www.ncbi.nlm.nih.gov/pubmed/28005667},
volume = {36},
year = {2016}
}
@article{faucris.117779244,
author = {Paulus, Jan and Hornegger, Joachim and Schmidt, Michael and Eskofier, Björn and Michelson, Georg},
doi = {10.1167/13.9.1171},
faupublication = {yes},
journal = {Journal of Vision},
pages = {1171},
peerreviewed = {Yes},
title = {{An} evaluation system for stereopsis of beach volleyball players measuring perception time as a function of disparity within a virtual environment},
volume = {13},
year = {2013}
}
@inproceedings{faucris.121317724,
address = {Berlin},
author = {Jäger, Florian and Deuerling-Zheng, Yu and Frericks, Bernd and Wacker, Frank and Hornegger, Joachim},
booktitle = {Vision Modeling and Visualization 2006},
editor = {Kobbelt L., Kuhlen T., Aach T., Westermann R.},
faupublication = {yes},
pages = {296-276},
peerreviewed = {unknown},
publisher = {Aka GmbH},
title = {{A} new {Method} for {MRI} {Intensity} {Standardization} with {Application} to {Lesion} {Detection} in the {Brain}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2006/Jaeger06-ANM.pdf},
venue = {Aachen},
year = {2006}
}
@article{faucris.121218944,
abstract = {In computed tomography, analytical fan-beam (FB) and cone-beam (CB) image reconstruction often involves a view-dependent data differentiation. The implementation of this differentiation step is critical in terms of resolution and image quality. In this work, we present a new differentiation scheme that is robust to changes in the data acquisition geometry and to coarse view sampling. Our scheme was compared to two previously suggested methods, which we call the direct scheme and the chain-rule scheme. Image reconstructions were performed from computer-simulated data of the Shepp-Logan phantom, the FORBILD thorax phantom and a modified FORBILD head phantom. For FB reconstruction, we investigated three acquisition geometries: a circular, an ellipse-shaped and a square-shaped trajectory. For CB reconstruction, the circle-plus-line trajectory was considered. Image comparison showed that the new scheme performs consistently well when varying the scenario, in both FB and CB geometry, unlike the other two schemes. © 2007 IOP Publishing Ltd.},
author = {Noo, Frédéric and Hoppe, Stefan and Dennerlein, Frank and Lauritsch, Günter and Hornegger, Joachim},
doi = {10.1088/0031-9155/52/17/020},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
pages = {5393-5414},
peerreviewed = {Yes},
title = {{A} new scheme for view-dependent data differentiation in fan-beam and cone-beam computed tomography},
volume = {52},
year = {2007}
}
@inproceedings{faucris.111804924,
abstract = {We present an algorithm for optimal view point selection for 3-D reconstruction of an object using 2-D image points. Since the image points are noisy, a Kalman filter is used to obtain the best estimate of the object's geometry. This Kalman filter allows us to efficiently predict the effect of any given camera position on the uncertainty, and therefore quality, of the estimate. By choosing a suitable optimization criterion, we are able to determine the camera positions which minimize our reconstruction error. We verify our results using two experiments with real images: one experiment uses a calibration pattern for comparison to a ground-truth state, the other reconstructs a real world object. © 2006 IEEE.},
author = {Wenhardt, Stefan and Deutsch, Benjamin and Hornegger, Joachim and Niemann, Heinrich and Denzler, Joachim},
booktitle = {18th International Conference on Pattern Recognition, ICPR 2006},
doi = {10.1109/ICPR.2006.253},
faupublication = {yes},
pages = {103-106},
peerreviewed = {unknown},
title = {{An} information theoretic approach for next best view planning in 3-{D} reconstruction},
venue = {Hong Kong},
volume = {1},
year = {2006}
}
@inproceedings{faucris.108129164,
address = {Erlangen},
author = {Wilhelm, Dirk and Penne, Jochen and Meining, Alexander and Hornegger, Joachim and Feußner, Hubertus},
booktitle = {3rd Russian-Bavarian Conference on Biomedical Engineering},
date = {2007-07-02/2007-07-03},
doi = {10.1055/s-2007-966438},
editor = {Hornegger Joachim, Mayr Ernst W., Schookin Sergey, Feußner Hubertus, Navab Nassir, Gulyaev Yuri V., Höller Kurt, Ganzha Victor},
faupublication = {yes},
pages = {223-226},
peerreviewed = {unknown},
publisher = {Union aktuell},
title = {{An} {Innovative}, {Safe} and {Sterile} {Sigmoid} {Access} for {NOTES} ({ISSA})},
venue = {Erlangen},
year = {2007}
}
@inproceedings{faucris.121318824,
author = {Rothgang, Eva and Gilson, Wesley D. and Pan, Li and Roland, Jörg and Kirchberg, Klaus and Wacker, Frank and Hornegger, Joachim and Lorenz, Christine H.},
booktitle = {Proceedings of International Society for Magnetic Resonance in Medicine},
editor = {Pipe Jim},
faupublication = {yes},
pages = {1561.0},
peerreviewed = {unknown},
title = {{An} {Integrated} {System} for {MR}-{Guided} {Thermal} {Ablations}: {From} {Planning} to {Real}-{Time} {Temperature} {Monitoring}},
venue = {Melbourne},
year = {2012}
}
@inproceedings{faucris.117867464,
address = {Berlin},
author = {Wels, Michael and Staatz, Gundula and Rossi, Andrea and Huber, Martin and Hornegger, Joachim},
booktitle = {International Journal of Computer Assisted Radiology and Surgery Volume 2 Supplement 1 (Int J CARS (2007) (Suppl 1)) CARS 2007 Computer Assisted Radiology and Surgery Proceedings of the 21st International Congress and Exhibition},
edition = {1},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2007.tech.IMMD.IMMD5.anisot},
pages = {457},
peerreviewed = {unknown},
publisher = {Springer Heidelberg},
title = {{Anisotropic} hidden {Markov} random field modeling for unsupervised {MRI} brain tissue segmentation and brain tumor detection},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Wels07-AHM.pdf},
venue = {Berlin, Germany},
volume = {2},
year = {2007}
}
@article{faucris.107418344,
author = {Wels, Michael and Staatz, Gundula and Rossi, Andrea and Huber, Martin and Hornegger, Joachim},
doi = {10.1007/s11548-007-0113-5},
faupublication = {yes},
journal = {International Journal of Computer Assisted Radiology and Surgery},
pages = {457},
peerreviewed = {unknown},
title = {{Anisotropic} hidden {Markov} random field modeling for unsupervised {MRI} brain tissue segmentation and brain tumor detection},
volume = {2},
year = {2007}
}
@inproceedings{faucris.108098584,
address = {Berlin, Amsterdam},
author = {Bouattour, Sahla and Heigl, Benno and Paulus, Dietrich and Hornegger, Joachim},
booktitle = {Vision, Modeling, and Visualization 2003},
date = {2003-11-19/2003-11-21},
editor = {Ertl Thomas, Girod B., Greiner Günther, Niemann Heinrich, Seidel H.-P., Steinbach Eva-Maria, Westermann R.},
faupublication = {yes},
pages = {183-190},
peerreviewed = {unknown},
publisher = {Aka / IOS Press},
title = {{An} iterative approach of local 3d-reconstruction of non-rigid movements of heart region from many angiographics views},
venue = {München},
year = {2003}
}
@article{faucris.203680172,
abstract = {In X-ray fluoroscopy, static overlays are used to visualize soft tissue. We propose a system for cardiac and respiratory motion compensation of these overlays. It consists of a 3-D motion model created from real-time magnetic resonance (MR) imaging. Multiple sagittal slices are acquired and retrospectively stacked to consistent 3-D volumes. Slice stacking considers cardiac information derived from the ECG and respiratory information extracted from the images. Additionally, temporal smoothness of the stacking is enhanced. Motion is estimated from the MR volumes using deformable 3-D/3-D registration. The motion model itself is a linear direct correspondence model using the same surrogate signals as slice stacking. In X-ray fluoroscopy, only the surrogate signals need to be extracted to apply the motion model and animate the overlay in real time. For evaluation, points are manually annotated in oblique MR slices and in contrast-enhanced X-ray images. The 2-D Euclidean distance of these points is reduced from 3.85 to 2.75 mm in MR and from 3.0 to 1.8 mm in X-ray compared with the static baseline. Furthermore, the motion-compensated overlays are shown qualitatively as images and videos.},
author = {Fischer, Peter and Faranesh, Anthony and Pohl, Thomas and Maier, Andreas and Rogers, Toby and Ratnayaka, Kanishka and Lederman, Robert and Hornegger, Joachim},
doi = {10.1109/TMI.2017.2723545},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
keywords = {mri; x-ray imaging; motion compensation; electrocardiography; motion model},
note = {UnivIS-Import:2018-09-05:Pub.2018.tech.IMMD.IMMD5.anmrba},
pages = {47-60},
peerreviewed = {Yes},
title = {{An} {MR}-{Based} {Model} for {Cardio}-{Respiratory} {Motion} {Compensation} of {Overlays} in {X}-{Ray} {Fluoroscopy}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Fischer18-AMM.pdf},
volume = {37},
year = {2018}
}
@inproceedings{faucris.120204084,
abstract = {Intensity based rigid registration algorithms commonly employed for medical image fusion are based on the iterative optimization of a pixel-by-pixel distance measure defined on the images. As medical images grow larger in size due to advanced scanner technology, evaluating such similarity measures is no longer computationally efficient. In order to overcome the inherent limitations of the standard approach we propose a new, nonlinear projection scheme that enables a very fast evaluation of the distance between two images. Current state-of-the-art projection schemes decompose a six dimensional search space into three dimensional subspaces. The proposed approach, however, yields a complete decomposition into ID subspaces. The optimization on these subspaces is highly efficient and does not require a reprojection. This scheme is therefore suitable for 2D and 3D registrations, and it is able to cope with subvolume matching problems. Furthermore, the use of modern graphics hardware allows for a highly efficient implementation. Experiments show that computation times can be reduced to less than 10 seconds with the proposed approach for 256 sized volumes. © 2007 IEEE.},
author = {Daum, Volker and Hahn, Dieter and Hornegger, Joachim},
booktitle = {2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC},
doi = {10.1109/NSSMIC.2007.4436995},
faupublication = {yes},
pages = {4022-4026},
peerreviewed = {unknown},
title = {{A} nonlinear projection scheme for fast rigid registration},
venue = {Honolulu, HI},
volume = {5},
year = {2007}
}
@inproceedings{faucris.121394504,
author = {Krüger, Sophie and Penne, Jochen and Hornegger, Joachim and Hohenberger, Werner and Horbach, Thomas},
booktitle = {Abstractband curac 2006},
date = {2006-10-12/2006-10-14},
editor = {Lenarz Thomas, Matthies Herbert K.},
faupublication = {yes},
pages = {183.0},
peerreviewed = {unknown},
title = {{A} novel approach to 3-{D} {Endoscopy} in {Minimally} {Invasive} {Surgery}},
venue = {Hannover},
year = {2006}
}
@inproceedings{faucris.111781824,
abstract = {Precise localization of moving targets is essential to increase local control of the cancer via dose escalation while reducing the severity of normal tissue complication. Localization of targets in real time with radio-opaque marker is less favorable considering the excess radiation dose to the patient and potential complications of implantation. Various external surrogates could provide indications of the targets' positions during the breathing process. However, there is a great deal of uncertainty in the correlation between external surrogates and internal target positions/trajectory during respiratory cycles. In order to address this problem, we have developed an algorithm that automatically establishes correspondences between the fluoroscopic sequence frames taken from the patient on the day of treatment and the various phases of a 4DCT planning data set. Image based mapping/synchronization procedure is performed using an underlying Markov model established for the breathing process. The mapping procedure is formulated as an optimization process and is solved efficiently using a dynamic programming technique. Results on the phantom, synthetic, and real patient data demonstrate the effectiveness of the proposed method in coping with respiratory correlation variations. The approach could primarily be used for automatic gating interval adaptation in the gated radiotherapy. ©2007 IEEE.},
author = {Khamene, Ali and Schaller, Christian and Hornegger, Joachim and Celi, Juan Carlos and Ofstad, Barbara and Rietzel, Eike and Li, X. Allen and Tai, An and Bayouth, John},
booktitle = {2007 IEEE 11th International Conference on Computer Vision, ICCV},
doi = {10.1109/ICCV.2007.4409134},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{A} novel image based verification method for respiratory motion management in radiation therapy},
venue = {Rio de Janeiro},
volume = {null},
year = {2007}
}
@article{faucris.111826924,
abstract = {In this paper we consider the problem of object recognition and localization in a probabilistic framework. An object is represented by a parametric probability density, and the computation of pose parameters is implemented as a nonlinear parameter estimation problem. The presence of a probabilistic model allows for recognition according to Bayes rule. The introduced probabilistic model requires no prior segmentation but characterizes the statistical properties of observed intensity values in the image plane. A detailed discussion of the applied theoretical framework is followed by a concise experimental evaluation which demonstrates the benefit of the proposed approach.},
author = {Hornegger, Joachim and Niemann, Heinrich},
doi = {10.1142/S0218001401000903},
faupublication = {yes},
journal = {International Journal of Pattern Recognition and Artificial Intelligence},
pages = {241-253},
peerreviewed = {Yes},
title = {{A} novel probabilistic model for object recognition and pose estimation},
volume = {15},
year = {2001}
}
@article{faucris.121925804,
author = {Li, Yan and Lu, Chen D. and Jia, Yali and Lee, Byungkun and Kraus, Martin F. and Hornegger, Joachim and Fujimoto, James G. and Huang, David},
faupublication = {yes},
journal = {Investigative Ophthalmology & Visual Science},
peerreviewed = {Yes},
title = {{Anterior} {Segment} {Angiography} with 1050 nm {Swept}-{Source} {Optical} {Coherence} {Tomography}},
volume = {56},
year = {2015}
}
@inproceedings{faucris.108207924,
author = {Strehl, Wilhelm and Rothgang, Eva and Gilson, Wesley D. and Hornegger, Joachim and Lorenz, Christine H.},
booktitle = {Proceedings of International Society for Magnetic Resonance in Medicine (ISMRM)},
date = {2010-05-01/2010-05-07},
editor = {Sodickson Daniel K.},
faupublication = {yes},
pages = {1840.0},
peerreviewed = {unknown},
title = {{A} {Passive}, {Image}-{Based} {Navigation} {Tool} for {Real}-{Time} {MR}-{Guided} {Percutaneous} {Interventionoal} {Procedures}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Rothgang10-API.pdf},
venue = {Stockholm},
year = {2010}
}
@article{faucris.113885684,
author = {Skalet, Alison and Li, Yan and Lu, Chen D. and Jia, Yali and Lee, Byungkun and Hornegger, Joachim and Fujimoto, James G. and Huang, David},
faupublication = {yes},
journal = {Investigative Ophthalmology & Visual Science},
peerreviewed = {Yes},
title = {{A} pilot study of {OCT} angiography of iris melanomas},
volume = {56},
year = {2015}
}
@inproceedings{faucris.114259244,
abstract = {Fractures of the distal radius account for about 15% of all extremity fractures. To date, open reduction and internal plate fixation is the standard operative treatment. During the procedure, only fluoroscopic images are available for the planning of the screw placement and the monitoring of the instrument trajectory. Complications arising from malpositioned screws can lead to revision surgery. With the aim of improving screw placement accuracy, we present a prototype framework for fully intra-operative guidance that simplifies the planning transfer. Planning is performed directly intra-operatively and expressed in terms of screw configuration w.r.t the used implant plate. Subsequently, guidance is provided solely by a combination of locally positioned markers and a small camera placed on the surgical instrument that allows real-time position feedback. We evaluated our framework on 34 plastic bones and 3 healthy forearm cadaver specimens. In total, 146 screws were placed. On bone phantoms, we achieved an accuracy of 1.02 +/- 0.57mm, 3.68 +/- 4.38 degrees and 1.77 +/- 1.38 degrees in the screw tip position and orientation (azimuth and elevation) respectively. On forearm specimens, we achieved a corresponding accuracy of 1.63 +/- 0.91mm, 5.85 +/- 4.93 degrees and 3.48 +/- 3.07 degrees. Our analysis shows that our framework has the potential for improving the accuracy of the screw placement compared to the state of the art.},
author = {Magaraggia, Jessica and Wei, Wei and Weiten, Markus and Kleinszig, Gerhard and Vetter, Sven and Franke, Jochen and Barth, Karl and Angelopoulou, Elli and Hornegger, Joachim},
booktitle = {MICCAI 2015},
doi = {10.1007/978-3-319-24553-9{\_}40},
faupublication = {yes},
pages = {323-330},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{A} {Portable} {Intra}-{Operative} {Framework} {Applied} to {Distal} {Radius} {Fracture} {Surgery}},
volume = {9349},
year = {2015}
}
@inproceedings{faucris.108134224,
address = {Erlangen},
author = {Bock, Rüdiger and Meier, Jörg and Nyul, Laszlo Gabor and Wärntges, Simone and Michelson, Georg and Hornegger, Joachim},
booktitle = {3rd Russian-Bavarian Conference on Biomedical Engineering},
date = {2007-07-02/2007-07-03},
editor = {Hornegger Joachim, Mayr Ernst W., Schookin Sergey, Feußner Hubertus, Navab Nassir, Gulyaev Yuri V., Höller Kurt, Ganzha Victor},
faupublication = {yes},
pages = {127-131},
peerreviewed = {unknown},
publisher = {Union aktuell},
title = {{Appearance}-based {Approach} to {Extract} an {Age}-related {Biomarkers} from {Retinal} {Images}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Bock07-AAT.pdf},
venue = {Erlangen},
year = {2007}
}
@article{faucris.120209144,
abstract = {In this paper we discuss and compare different approaches to appearance-based object recognition and pose estimation. Images are considered as high-dimensional feature vectors which are transformed in various manners: we use different types of non-linear image-to-image transforms composed with linear mappings to reduce the feature dimensions and to beat the curse of dimensionality. The transforms are selected such that special objective functions are optimized and available image data provide some invariance properties. The paper mainly concentrates on the comparison of preprocessing operations combined with different linear projections in the context of appearance-based object recognition. The experimental evaluation provides recognition rates and pose estimation accuracy. © 1999 Pattern Recognition Society.},
author = {Hornegger, Joachim and Niemann, Heinrich and Risack, Robert},
doi = {10.1016/S0031-3203(99)00048-5},
faupublication = {yes},
journal = {Pattern Recognition},
pages = {209-224},
peerreviewed = {Yes},
title = {{Appearance}-based object recognition using optimal feature transforms},
volume = {33},
year = {2000}
}
@article{faucris.107403164,
abstract = {Tracheoesophageal voice is state-of-the-art in voice rehabilitation after laryngectomy. Intelligibility on a telephone is an important evaluation criterion as it is a crucial part of social life. An objective measure of intelligibility when talking on a telephone is desirable in the field of postlaryngectomy speech therapy and its evaluation. Patients and Methods: Based upon successful earlier studies with broadband speech, an automatic speech recognition (ASR) system was applied to 41 recordings of postlaryngectomy patients. Recordings were available in different signal qualities; quality was the crucial criterion for this study. Results: Compared to the intelligibility rating of 5 human experts, the ASR system had a correlation coefficient of r = -0.87 and Krippendorff's α of 0.65 when broadband speech was processed. The rater group alone achieved α = 0.66. With the test recordings in telephone quality, the system reached r = -0.79 and α = 0.67. Conclusion: For medical purposes, a comprehensive diagnostic approach to (substitute) voice has to cover both subjective and objective tests. An automatic recognition system such as the one proposed in this study can be used for objective intelligibility rating with results comparable to those of human experts. This holds for broadband speech as well as for automatic evaluation via telephone. Copyright © 2008 S. Karger AG, Basel.},
author = {Haderlein, Tino and Riedhammer, Korbinian Thomas and Nöth, Elmar and Toy, Hikmet and Schuster, Maria and Eysholdt, Ulrich and Hornegger, Joachim and Rosanowski, Frank},
doi = {10.1159/000187620},
faupublication = {yes},
journal = {Folia Phoniatrica Et Logopaedica},
pages = {12-17},
peerreviewed = {Yes},
title = {{Application} of automatic speech recognition to quantitative assessment of tracheoesophageal speech with different signal quality},
volume = {61},
year = {2009}
}
@inproceedings{faucris.119049964,
abstract = {Optical Coherence Tomography (OCT) is an imaging modality that has several advantages (e.g. high resolution and three dimensional imaging) in comparison with other ophthalmic imaging methods. Retinal structures, such as the optic nerve head (ONH), can be examined in detail. The geometry of the ONH can offer valuable information for the detection of glaucoma, because it is affected by this disease. However, manual examinations are highly subjective. In this study we present an approach using morphological operators for the completely automated segmentation of the ONH region, which is crucial for the further examination of the geometrical parameters that indicate the presence of glaucoma. The method was applied to OCT volumes of 10 individuals (7 glaucoma patients, 3 normal subjects). The automatically extracted results were evaluated both qualitatively and quantitatively, and yielded a sensitivity of 0.89±0.09 and a specificity of 0.98±0.01. © 2012 Institute of Telecommunica.},
author = {Moupagiatzis, Ioannis and Mayer, Markus Anton and Hornegger, Joachim and Tornow, Ralf-Peter and Mardin, Christian Y.},
booktitle = {2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012},
faupublication = {yes},
pages = {572-575},
peerreviewed = {unknown},
title = {{Application} of morphological operators for optic nerve head segmentation in optical coherence tomography images},
url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-84863912714&origin=inward},
venue = {Vienna},
volume = {null},
year = {2012}
}
@book{faucris.107986384,
address = {Braunschweig},
author = {Paulus, Dietrich and Hornegger, Joachim},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
publisher = {Vieweg},
title = {{Applied} pattern recognition: {A} practical introduction to image and speech processing in {C}++},
year = {1998}
}
@book{faucris.107860324,
address = {Braunschweig},
author = {Paulus, Dietrich and Hornegger, Joachim},
faupublication = {yes},
pages = {405.0},
peerreviewed = {unknown},
publisher = {Vieweg},
title = {{Applied} pattern recognition: {A} practical introduction to image and speech processing in {C}++},
year = {2001}
}
@book{faucris.113190264,
address = {Braunschweig},
author = {Paulus, Dietrich and Hornegger, Joachim},
faupublication = {yes},
peerreviewed = {unknown},
publisher = {Vieweg},
title = {{Applied} pattern recognition: {A} practical introduction to image and speech processing in {C}++},
year = {2003}
}
@article{faucris.108080324,
author = {Hahn, Dieter and Sun, Yiyong and Hornegger, Joachim and Sauer, Frank and Wolz, Gabriele and Kuwert, Torsten and Xu, Chenyang},
faupublication = {yes},
journal = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
pages = {870-879},
peerreviewed = {unknown},
title = {{A} practical salient region feature based 3d multimodality registration method for medical images},
year = {2006}
}
@inproceedings{faucris.121223344,
abstract = {We present a novel representation of 3D salient region features and its integration into a hybrid rigid-body registration framework. We adopt scale, translation and rotation invariance properties of those intrinsic 3D features to estimate a transform between underlying mono- or multi-modal 3D medical images. Our method combines advantageous aspects of both feature- and intensity-based approaches and consists of three steps: an automatic extraction of a set of 3D salient region features on each image, a robust estimation of correspondences and their sub-pixel accurate refinement with outliers elimination. We propose a region-growing based approach for the extraction of 3D salient region features, a solution to the problem of feature clustering and a reduction of the correspondence search space complexity. Results of the developed algorithm are presented for both mono- and multi-modal intra-patient 3D image pairs (CT, PET and SPECT) that have been acquired for change detection, tumor localization, and time based intra-person studies. The accuracy of the method is clinically evaluated by a medical expert with an approach that measures the distance between a set of selected corresponding points consisting of both anatomical and functional structures or lesion sites. This demonstrates the robustness of the proposed method to image overlap, missing information and artefacts. We conclude by discussing potential medical applications and possibilities for integration into a non-rigid registration framework.},
author = {Hahn, Dieter and Wolz, Gabriele and Sun, Yiyong and Hornegger, Joachim and Sauer, Frank and Kuwert, Torsten and Xu, Chenyang},
booktitle = {Medical Imaging 2006: Image Processing},
doi = {10.1117/12.653071},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{A} practical salient region feature based {3D} multi-modality registration method for medical images},
venue = {San Diego, CA},
volume = {null},
year = {2006}
}
@inproceedings{faucris.113238664,
address = {-},
author = {Haas, Jürgen and Hornegger, Joachim and Nöth, Elmar and Niemann, Heinrich},
booktitle = {Proc. of the AIII Workshop on Artificial Intelligence in Industry},
date = {1998-04-22},
editor = {-},
faupublication = {yes},
pages = {422-430},
peerreviewed = {unknown},
publisher = {-},
title = {{A} {Probabilistic} {Approach} for the {Semantic} {Analysis}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1998/Haas98-APA.pdf},
venue = {Stara Lesna},
year = {1998}
}
@article{faucris.121177144,
abstract = {Being able to segment the esophagus without user interaction from 3-D CT data is of high value to radiologists during oncological examinations of the mediastinum. The segmentation can serve as a guideline and prevent confusion with pathological tissue. However, limited contrast to surrounding structures and versatile shape and appearance make segmentation a challenging problem. This paper presents a multistep method. First, a detector that is trained to learn a discriminative model of the appearance is combined with an explicit model of the distribution of respiratory and esophageal air. In the next step, prior shape knowledge is incorporated using a Markov chain model. We follow a detect and connect approach to obtain the maximum a posteriori estimate of the approximate esophagus shape from hypothesis about the esophagus contour in axial image slices. Finally, the surface of this approximation is nonrigidly deformed to better fit the boundary of the organ. The method is compared to an alternative approach that uses a particle filter instead of a Markov chain to infer the approximate esophagus shape, to the performance of a human observer and also to state of the art methods, which are all semiautomatic. Cross-validation on 144 CT scans showed that the Markov chain based approach clearly outperforms the particle filter. It segments the esophagus with a mean error of 1.80 mm in less than 16 s on a standard PC. This is only 1 mm above the interobserver variability and can compete with the results of previously published semiautomatic methods. © 2011 IEEE.},
author = {Feulner, Johannes and Zhou, S. Kevin and Hammon, Matthias and Seifert, Sascha and Huber, Martin and Comaniciu, Dorin and Hornegger, Joachim and Cavallaro, Alexander Josef},
doi = {10.1109/TMI.2011.2112372},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
pages = {1252-1264},
peerreviewed = {Yes},
title = {{A} probabilistic model for automatic segmentation of the esophagus in 3-{D} {CT} scans},
volume = {30},
year = {2011}
}
@inproceedings{faucris.118688944,
abstract = {CTP is an important imaging modality for diagnosis of ischemic stroke, which is computed from of a series of consecutive CT-scans during the injection of contrast agent. Contrast flow at any point in space can be tracked as minor changes in intensity over a period of about 40 seconds to one minute, represented as a time-attenuation curve (TAC) for every voxel. This work presents an isotropic, dense, physiologically realistic and dynamic brain phantom for CT perfusion. The phantom is based on MRI scans of a volunteer and is freely available for download. © 2013 IEEE.},
author = {Aichert, André and Manhart, Michael and Navalpakkam, Bharath and Grimm, Robert and Hutter, Jana and Maier, Andreas and Hornegger, Joachim and Dörfler, Arnd},
booktitle = {2013 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)},
date = {2013-10-27/2013-11-02},
doi = {10.1109/NSSMIC.2013.6829168},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD5.areali{\_}2},
title = {{A} {Realistic} {Digital} {Phantom} for {Perfusion} {C}-{Arm} {CT} {Based} on {MRI} {Data}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Aichert13-ARD.pdf},
venue = {Seoul, South Korea},
year = {2013}
}
@inproceedings{faucris.110630124,
abstract = {Fluoroscopic images are characterized by a transparent projection of 3-D structures from all depths to 2-D. Differently moving structures, for example due to breathing and heartbeat, can be described approximately using independently moving 2-D layers. Separating the fluoroscopic images into the motion layers is desirable to facilitate interpretation and diagnosis. Given the motion of each layer, it is state of the art to compute the layer separation by minimizing a least-squares objective function. However, due to high noise levels and inaccurate motion estimates, the results are not satisfactory in X-ray images. In this work, we propose a probabilistic model for motion layer separation. In this model, we analyze various data terms and regularization terms theoretically and experimentally. We show that a robust penalty function is required in the data term to deal with noise and shortcomings of the image formation model. For the regularization term, we propose to enforce smoothness of the layers using bilateral total variation. On synthetic data, the mean squared error between the estimated layers and the ground truth is improved by 18% compared to the state of the art. In addition, we show qualitative improvements on real X-ray data.},
address = {Berlin},
author = {Fischer, Peter and Pohl, Thomas and Köhler, Thomas and Maier, Andreas and Hornegger, Joachim},
booktitle = {24th International Conference on Information Processing in Medical Imaging, IPMI 2015},
doi = {10.1007/978-3-319-19992-4{\_}22},
faupublication = {yes},
isbn = {978-3-319-19991-7},
note = {UnivIS-Import:2015-10-26:Pub.2015.tech.IMMD.IMMD5.arobus{\_}6},
pages = {288-299},
publisher = {Springer Verlag},
series = {LNCS},
title = {{A} {Robust} {Probabilistic} {Model} for {Motion} {Layer} {Separation} in {X}-{Ray} {Fluoroscopy}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Fischer15-RPM.pdf},
venue = {Isle of Skye, Scotland},
volume = {9123},
year = {2015}
}
@article{faucris.117598624,
author = {Neumann, Dominik and Mansi, Tommaso and Itu, Lucian and Georgescu, Bogdan and Kayvanpour, Elham and Sedaghat-Hamedani, Farbod and Amr, Ali and Haas, Jan and Katus, Hugo and Meder, Benjamin and Steidl, Stefan and Hornegger, Joachim and Comaniciu, Dorin},
doi = {10.1016/j.media.2016.04.003},
faupublication = {yes},
journal = {Medical Image Analysis},
keywords = {Artificial intelligence; Computational modeling; Model personalization; Reinforcement learning},
note = {UnivIS-Import:2016-06-27:Pub.2016.tech.IMMD.IMMD5.aselft},
pages = {N/A},
peerreviewed = {Yes},
title = {{A} {Self}-{Taught} {Artificial} {Agent} for {Multi}-{Physics} {Computational} {Model} {Personalization}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Neumann16-ASA.pdf},
volume = {N/A},
year = {2016}
}
@inproceedings{faucris.121654324,
author = {Caputo, Barbara and Hornegger, Joachim and Paulus, Dietrich and Niemann, Heinrich},
booktitle = {Proc. International Conference of Computer Vision (ICCV)},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2001.forsch.gradui.gradui{\_}6.asping{\_}80},
pages = {?},
peerreviewed = {unknown},
title = {{A} {Spin}-{Glass} {Markov} {Random} {Field} for 3-{D} {Object} {Recognition}},
venue = {Vancouver, Canada},
year = {2001}
}
@inproceedings{faucris.107853724,
address = {-},
author = {Caputo, Barbara and Hornegger, Joachim and Paulus, Dietrich and Niemann, Heinrich},
booktitle = {Proceedings of the NIPS 2000 Workshop on New Perspective in Kernel Based Learning Methods},
date = {2000-12-01},
editor = {NIPS},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
publisher = {-},
title = {{A} {Spin} {Glass} {Model} of a {Markov} {Random} {Field}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2000/Caputo00-ASG.pdf},
venue = {Breckenridge, CO},
year = {2000}
}
@article{faucris.108876724,
author = {Taubmann, Oliver and Haase, V. and Lauritsch, G. and Zheng, Y. and Krings, G. and Hornegger, Joachim and Maier, Andreas},
doi = {10.1088/1361-6560/aa6241},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
keywords = {C-arm Computed Tomography; Angular Undersampling; Cardiac Function; 4-D Imaging; Total Variation; Temporal Regularization},
note = {UnivIS-Import:2017-12-18:Pub.2017.tech.IMMD.IMMD5.assess},
pages = {2762},
peerreviewed = {Yes},
title = {{Assessing} cardiac function from total-variation-regularized 4-{D} {C}-arm {CT} in the presence of angular undersampling},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Taubmann17-ACF.pdf},
volume = {62},
year = {2017}
}
@inproceedings{faucris.113202144,
author = {Stürmer, Michael and Becker, Guido and Hornegger, Joachim},
booktitle = {Vision, Modeling, and Visualization (2011)},
date = {2011-10-04/2011-10-06},
doi = {10.2312/PE/VMV/VMV11/231-238},
editor = {Eisert Peter, Polthier Konrad, Hornegger Joachim},
faupublication = {yes},
pages = {231-238},
peerreviewed = {unknown},
title = {{Assessment} of {Time}-of-{Flight} {Cameras} for {Short} {Camera}-{Object} {Distances}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Stuermer11-AOT.pdf},
venue = {Berlin},
year = {2011}
}
@inproceedings{faucris.121417384,
author = {Rothgang, Eva and Gilson, Wesley D. and Hornegger, Joachim and Lorenz, Christine H.},
booktitle = {Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling},
date = {2010-02-13/2010-02-18},
doi = {10.1117/12.844203},
editor = {Wong Kenneth H., Miga Michael I.},
faupublication = {yes},
pages = {762522.0},
peerreviewed = {unknown},
title = {{A} system for advanced real-time visualization and monitoring of {MR}-guided thermal ablations},
venue = {San Diego, CA},
year = {2010}
}
@inproceedings{faucris.207561254,
author = {Maier, Andreas and Jiang, Zhenzhen and Jordan, Johannes Michael and Riess, Christian and Hofmann, Hannes and Hornegger, Joachim},
booktitle = {Medical Imaging 2013: Physics of Medical Imaging},
doi = {10.1117/12.2006843},
editor = {SPIE},
faupublication = {yes},
isbn = {9780819494429},
pages = {8668-83},
peerreviewed = {Yes},
title = {{Atlas}-{Based} {Linear} {Volume}-of-{Interest} ({ABL}-{VOI}) {Image} {Correction}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Maier13-ALV.pdf},
venue = {Lake Buena Vista, FL},
volume = {8668},
year = {2013}
}
@inproceedings{faucris.107963064,
address = {Heidelberg},
author = {Li, Stan Z. and Hornegger, Joachim},
booktitle = {Computer Vision - ECCV '98},
date = {1998-06-02/1998-06-06},
doi = {10.1007/BFb0054776},
editor = {Burkhardt Harald, Neumann B.},
faupublication = {no},
pages = {733-747},
peerreviewed = {unknown},
publisher = {Springer},
title = {{A} {Two}-{Stage} {Probabilistic} {Approach} {For} {Object} {Recognition}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1998/Li98-ATS.pdf},
venue = {Freiburg},
year = {1998}
}
@inproceedings{faucris.107898824,
author = {Soutschek, Stefan and Maier, Andreas and Hönig, Florian Thomas and Spiegl, Werner and Steidl, Stefan and Hornegger, Joachim and Erzigkeit, Helmut and Kornhuber, Johannes},
booktitle = {Proceedings of the 5th Russian-Bavarian Conference on Biomedical Engineering},
date = {2009-07-01/2009-07-04},
editor = {In: Russian Bavarian Conference on Bio-Medical Engineering},
faupublication = {yes},
pages = {n.a.},
peerreviewed = {Yes},
title = {{Audio}-{Visual} {Feedback} {System} for {Reward}-{Based} {Training} {Sessions} of {Elderly} {People} in a {Home} {Environment}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Soutschek09-AVF.pdf},
venue = {München},
year = {2009}
}
@inproceedings{faucris.108242244,
author = {Bourier, Felix and Brost, Alexander and Hornegger, Joachim and Kiraly, Attila P. and Barbot, Julien and Strobel, Norbert and Zorger, Niels and Schneider, Hans-Jürgen and Heißenhuber, Frank and Kurzidim, Klaus},
booktitle = {ESC Congress},
date = {2011-08-27/2011-08-31},
editor = {European Society of Cardiology},
faupublication = {yes},
pages = {P3606},
peerreviewed = {unknown},
title = {{Augmented} fluoroscopy-based navigation on a biplane angiography system for pulmonary vein isolation},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Bourier11-AFN.pdf},
venue = {Paris},
year = {2011}
}
@inproceedings{faucris.113201044,
author = {Bourier, Felix and Schneider, Hans-Jürgen and Heißenhuber, Frank and Ganslmeier, Patrycja and Brost, Alexander and Koch, Martin and Hornegger, Joachim and Kleinöder, Andreas and Kiraly, Attila P. and Barbot, Julien and Strobel, Norbert and Kurzidim, Klaus},
booktitle = {Venice Arrhythmias 2011},
date = {2011-10-09/2011-10-12},
editor = {Journal of Cardiovascular Electrophysiology},
faupublication = {yes},
pages = {112.0},
peerreviewed = {unknown},
title = {{Augmented} {Fluoroscopy} to {Guide} {Transseptal} {Puncture}},
venue = {Venice},
year = {2011}
}
@inproceedings{faucris.122189584,
address = {Swansea, Wales},
author = {Köhler, Thomas and Jordan, Johannes Michael and Maier, Andreas and Hornegger, Joachim},
booktitle = {Proceedings of the British Machine Vision Conference (BMVC)},
faupublication = {yes},
isbn = {1-901725-53-7},
note = {UnivIS-Import:2015-10-26:Pub.2015.tech.IMMD.IMMD5.aunifi},
pages = {143.1-143.12},
publisher = {BMVA Press},
title = {{A} {Unified} {Bayesian} {Approach} to {Multi}-{Frame} {Super}-{Resolution} and {Single}-{Image} {Upsampling} in {Multi}-{Sensor} {Imaging}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Koehler15-AUB.pdf},
venue = {Swansea, Wales},
year = {2015}
}
@inproceedings{faucris.121326084,
address = {Erlangen},
author = {Ritt, Philipp and Höller, Kurt Emmerich and Penne, Jochen and Schneider, Adam and Hornegger, Joachim and Feußner, Hubertus},
booktitle = {3rd Russian-Bavarian Conference on Biomedical Engineering},
date = {2007-07-02/2007-07-03},
editor = {Hornegger Joachim, Mayr Ernst W., Schookin Sergey, Feußner Hubertus, Navab Nassir, Gulyaev Yuri V., Höller Kurt, Ganzha Victor},
faupublication = {yes},
pages = {227-232},
peerreviewed = {unknown},
publisher = {Union aktuell},
title = {{Auto}-{Gain} {Approach} for {Use} with {Time}-of-{Flight} {Examination} in {Minimally} {Invasive} {Surgery}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Ritt07-AAF.pdf},
venue = {Erlangen},
year = {2007}
}
@inproceedings{faucris.208841308,
author = {Heim, Christoph and Riess, Christian and Borsdorf, Anja and Hofmann, Carola and Hornegger, Joachim},
booktitle = {5th Russian-Bavarian Conference on Biomedical Engineering},
faupublication = {yes},
pages = {31-34},
peerreviewed = {Yes},
title = {{Automated} {Evaluation} of {Image} {Quality} in {Mammography}},
year = {2009}
}
@article{faucris.113521144,
abstract = {We demonstrate an automated segmentation method for in-vivo 3D optical coherence tomography (OCT) imaging of the lamina cribrosa (LC). Manual segmentations of coronal slices of the LC were used as a gold standard in parameter selection and evaluation of the automated technique. The method was validated using two prototype OCT devices; each had a subject cohort including both healthy and glaucomatous eyes. Automated segmentation of in-vivo 3D LC OCT microstructure performed comparably to manual segmentation and is useful for investigative research and in clinical quantification of the LC. © 2013 Optical Society of America.},
author = {Nadler, Zach and Wang, Bo and Wollstein, Gadi and Nevins, Jessica and Ishikawa, Hiroshi and Kagemann, Larry and Sigal, Ian and Ferguson, Daniel and Hammer, Daniel and Grulkowski, Ireneusz and Liu, Jonathan J. and Kraus, Martin and Lu, Chen D. and Hornegger, Joachim and Fujimoto, James G. and Schuman, Joel},
doi = {10.1364/BOE.4.002596},
faupublication = {yes},
journal = {Biomedical Optics Express},
note = {UnivIS-Import:2015-03-09:Pub.2013.tech.IMMD.IMMD5.automa{\_}57},
pages = {25962608},
peerreviewed = {Yes},
title = {{Automated} lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes},
volume = {4},
year = {2013}
}
@article{faucris.121188144,
abstract = {Objective: Automated, objective and fast measurement of the image quality of single retinal fundus photos to allow a stable and reliable medical evaluation. Methods: The proposed technique maps diagnosis-relevant criteria inspired by diagnosis procedures based on the advise of an eye expert to quantitative and objective features related to image quality. Independent from segmentation methods it combines global clustering with local sharpness and texture features for classification. Results: On a test dataset of 301 retinal fundus images we evaluated our method on a given gold standard by human observers and compared it to a state of the art approach. An area under the ROC curve of 95.3% compared to 87.2% outperformed the state of the art approach. A significant p-value of 0.019 emphasizes the statistical difference of both approaches. Conclusions: The combination of local and global image statistics models the defined quality criteria and automatically produces reliable and objective results in determining the image quality of retinal fundus photos. © 2010 CARS.},
author = {Paulus, Jan and Meier, Jörg and Bock, Rüdiger and Hornegger, Joachim and Michelson, Georg},
doi = {10.1007/s11548-010-0479-7},
faupublication = {yes},
journal = {International Journal of Computer Assisted Radiology and Surgery},
pages = {557-564},
peerreviewed = {unknown},
title = {{Automated} quality assessment of retinal fundus photos},
volume = {5},
year = {2010}
}
@article{faucris.123927364,
abstract = {Manual ultrasonic testing is frequently applied to inspect the quality of carbon fibre-reinforced polymer composites (CFRP), especially in the aerospace industry. There is an immediate requirement to replace manual ultrasonic testing and data evaluation with an automated system. A part of the solution is provided via automated acquisition of ultrasound data. The second part to be solved is the analysis of the enormous amount of data generated. The objective of this contribution is to propose a method that can provide an automated interpretation of data. The proposed method is tested on two CFRP samples with artificial defects of different sizes, depths and shapes.},
author = {Osman, A. and Hassler, U. and Kaftandjian, V. and Hornegger, Joachim},
doi = {10.1784/insi.2014.57.3.153},
faupublication = {yes},
journal = {Insight},
keywords = {sampling phased array;composite materials;ultrasound image analysis;speckle noise reduction},
pages = {153-160},
peerreviewed = {Yes},
title = {{Automated} segmentation of ultrasonic volumetric data of composite materials},
volume = {57},
year = {2015}
}
@article{faucris.107976044,
author = {Kajic, Vedran and Esmaeelpour, Marieh and Glittenberg, Carl and Kraus, Martin and Hornegger, Joachim and Othara, Richu and Binder, Susanne and Fujimoto, James G. and Drexler, Wolfgang},
doi = {10.1364/BOE.4.000134},
faupublication = {yes},
journal = {Biomedical Optics Express},
pages = {134-150},
peerreviewed = {Yes},
title = {{Automated} three-dimensional choroidal vessel segmentation of {3D} 1060 nm {OCT} retinal data},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Kajic13-ATC.pdf},
volume = {4.0},
year = {2013}
}
@inproceedings{faucris.120327944,
author = {Rothgang, Eva and Roland, Jörg and Gilson, Wesley D. and Hornegger, Joachim and Lorenz, Christine H.},
booktitle = {Proceedings of International Society for Magnetic Resonance in Medicine},
date = {2011-05-07/2011-05-13},
editor = {Caroline Reinhold},
faupublication = {yes},
pages = {1773.0},
peerreviewed = {unknown},
title = {{Automatic} {B0} {Drift} {Correction} for {MR} {Thermometry}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Rothgang11-ABD.pdf},
venue = {Montréal, Québec},
year = {2011}
}
@inproceedings{faucris.113159464,
author = {Grimm, Robert and Li, Feng and Forman, Christoph and Hutter, Jana and Kiefer, Berthold and Hornegger, Joachim and Block, Kai Tobias},
booktitle = {International Society for Magnetic Resonance in Medicine},
date = {2013-04-20/2013-04-26},
editor = {Gold Garry E.},
faupublication = {yes},
pages = {696.0},
title = {{Automatic} {Bolus} {Analysis} for {DCE}-{MRI} {Using} {Radial} {Golden}-{Angle} {Stack}-of-stars {GRE} {Imaging}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Grimm13-ABA.pdf},
venue = {Salt Lake City, UT},
year = {2013}
}
@article{faucris.110430804,
author = {Mualla, Firas and Schöll, Simon and Sommerfeldt, Björn and Maier, Andreas and Hornegger, Joachim},
doi = {10.1109/TMI.2013.2280380},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
pages = {2274-2286},
peerreviewed = {Yes},
title = {{Automatic} {Cell} {Detection} in {Bright}-{Field} {Microscope} {Images} {Using} {SIFT}, {Random} {Forests}, and {Hierarchical} {Clustering}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Mualla13-ACD.pdf},
volume = {32.0},
year = {2013}
}
@inproceedings{faucris.120194184,
abstract = {In this paper a novel system for automatic detection and segmentation of focal liver lesions in CT images is presented. It utilizes a probabilistic boosting tree to classify points in the liver as either lesion or parenchyma, thus providing both detection and segmentation of the lesions at the same time and fully automatically. To make the segmentation more robust, an iterative classification scheme is integrated, that incorporates knowledge gained from earlier iterations into later decisions. Finally, a comprehensive evaluation of both the segmentation and the detection performance for the most common hypodense lesions is given. Detection rates of 77% could be achieved with a sensitivity of 0.95 and a specificity of 0.93 for lesion segmentation at the same settings. © 2010 IEEE.},
author = {Militzer, Arne and Hager, Tobias and Jäger, Florian and Tietjen, Christian and Hornegger, Joachim},
booktitle = {2010 20th International Conference on Pattern Recognition, ICPR 2010},
doi = {10.1109/ICPR.2010.618},
faupublication = {yes},
pages = {2524-2527},
peerreviewed = {unknown},
title = {{Automatic} detection and segmentation of focal liver lesions in contrast enhanced {CT} images},
venue = {Istanbul},
volume = {null},
year = {2010}
}
@inproceedings{faucris.108214744,
author = {Reiml, Sabrina and Pfister, Marcus and Toth, Daniel and Maier, Andreas and Hoffmann, Matthias and Kowarschik, Markus and Hornegger, Joachim},
booktitle = {Joint MICCAI workshop on Computing and Visualisation for Intravascular Imaging and Computer-Assisted Stenting},
faupublication = {yes},
note = {UnivIS-Import:2016-06-01:Pub.2015.tech.IMMD.IMMD5.automa{\_}90},
pages = {34-41},
peerreviewed = {unknown},
title = {{Automatic} {Detection} of {Stent} {Graft} {Markers} in 2-{D} {Fluoroscopy} {Images}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Reiml15-ADO.pdf},
venue = {München},
year = {2015}
}
@book{faucris.120316504,
abstract = {In this paper, we propose an automatic method to directly extract 3D dynamic left ventricle (LV) model from sparse 2D rotational angiocardiogram (each cardiac phase contains only five projections). The extracted dynamic model provides quantitative cardiac function for analysis. The overlay of the model onto 2D real-time fluoroscopic images provides valuable visual guidance during cardiac intervention. Though containing severe cardiac motion artifacts, an ungated CT reconstruction is used in our approach to extract a rough static LV model. The initialized LV model is projected onto each 2D projection image. The silhouette of the projected mesh is deformed to match the boundary of LV blood pool. The deformation vectors of the silhouette are back-projected to 3D space and used as anchor points for thin plate spline (TPS) interpolation of other mesh points. The proposed method is validated on 12 synthesized datasets. The extracted 3D LV meshes match the ground truth quite well with a mean point-to-mesh error of 0.51±0.11mm. The preliminary experiments on two real datasets (included a patient and a pig) show promising results too. © 2011 Springer-Verlag.},
address = {Heidelberg, Berlin},
author = {Chen, Mingqing and Zheng, Yefeng and Müller, Kerstin and Rohkohl, Christopher and Lauritsch, Günter and Boese, Jan and Funka-Lea, Gareth and Hornegger, Joachim and Comaniciu, Dorin},
doi = {10.1007/978-3-642-23626-6{\_}58},
faupublication = {yes},
isbn = {978-3-642-23625-9},
note = {UnivIS-Import:2015-04-16:Pub.2011.tech.IMMD.IMMD5.automa{\_}56},
pages = {471-478},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Automatic} {Extraction} of {3D} {Dynamic} {Left} {Ventricle} {Model} {From} {2D} {Rotational} {Angiocardiogram}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Chen11-AEO.pdf},
year = {2011}
}
@inproceedings{faucris.118745484,
author = {Neumann, Dominik and Tommaso, Mansi and Grbic, Sasa and Voigt, Ingmar and Georgescu, Bogdan and Kayvanpour, Elham and Amr, Ali and Sedaghat-Hamedani, Farbod and Haas, Jan and Katus, Hugo and Meder, Benjamin and Hornegger, Joachim and Kamen, Ali and Comaniciu, Dorin},
booktitle = {2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)},
faupublication = {yes},
isbn = {978-1-4673-1961-4},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.automa{\_}6},
pages = {935-938},
title = {{Automatic} {Image}-to-{Model} {Framework} for {Patient}-specific {Electromechanical} {Modeling} of the {Heart}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Neumann14-AIF.pdf},
venue = {Beijing, China},
year = {2014}
}
@inproceedings{faucris.121179344,
abstract = {Brain perfusion CT using a C-arm angiography system capable of CT-like imaging could optimize patient treatment during stroke therapy procedures. For this application, an intra-arterial contrast bolus injection at the aortic arch could be used provided that the location of the injection catheter enables uniform distribution of the bolus into the two common carotid arteries (CCA). In this work, we present a novel method to support optimal injection catheter placement by providing additional quantitative information about the distribution of the contrast bolus into the CCAs. Our fully automatic method uses 2-D digital subtraction angiography (DSA) images following a test bolus injection. It segments both CCAs and computes the relative contrast distribution. We have tested the method in DSA data sets from 5 healthy pigs and our method achieved successful segmentation of both CCAs in all data sets. The results showed that the contrast is uniformly distributed (mean relative difference less or equal than 10%) if the injection location is properly chosen. © 2011 SPIE.},
author = {Fieselmann, Andreas and Ganguly, Arundhuti and Yu Deuerling-Zheng, and Boese, Jan and Hornegger, Joachim and Fahrig, Rebecca},
booktitle = {Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling},
doi = {10.1117/12.877658},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Automatic} measurement of contrast bolus distribution in carotid arteries using a {C}-arm angiography system to support interventional perfusion imaging},
venue = {Lake Buena Vista, FL},
volume = {7964},
year = {2011}
}
@inproceedings{faucris.107913564,
address = {Berlin},
author = {Müller, Kerstin and Bauer, Sebastian and Wasza, Jakob and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2011},
date = {2011-03-20/2011-03-22},
editor = {Handels Heinz, Ehrhardt Jan, Deserno Thomas M., Meinzer Hans-Peter, Tolxdorff Thomas},
faupublication = {yes},
pages = {154-158},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Automatic} {Multi}-modal {ToF}/{CT} {Organ} {Surface} {Registration}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Mueller11-AMT.pdf},
venue = {Lübeck},
year = {2011}
}
@inproceedings{faucris.108035224,
author = {Köhler, Thomas and Budai, Attila and Kraus, Martin and Odstrcilik, Jan and Michelson, Georg and Hornegger, Joachim},
booktitle = {2013 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS)},
doi = {10.1109/CBMS.2013.6627771},
editor = {IEEE},
faupublication = {yes},
pages = {95-100},
title = {{Automatic} {No}-{Reference} {Quality} {Assessment} for {Retinal} {Fundus} {Images} {Using} {Vessel} {Segmentation}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Koehler13-ANQ.pdf},
venue = {Porto, Portugal},
year = {2013}
}
@article{faucris.107398104,
abstract = {Over the past ten years similarity measures based on intensity distributions have become state-of-the-art in automatic multimodal image registration. An implementation for clinical usage has to support a plurality of images. However, a generally applicable parameter configuration for the number and sizes of histogram bins, optimal Parzen-window kernel widths or background thresholds cannot be found. This explains why various research groups present partly contradictory empirical proposals for these parameters. This paper proposes a set of data-driven estimation schemes for a parameter-free implementation that eliminates major caveats of heuristic trial and error. We present the following novel approaches: a new coincidence weighting scheme to reduce the influence of background noise on the similarity measure in combination with Max-Lloyd requantization, and a tradeoff for the automatic estimation of the number of histogram bins. These methods have been integrated into a state-of-the-art rigid registration that is based on normalized mutual information and applied to CTMR, PETMR, and MRMR image pairs of the RIRE 2.0 database. We compare combinations of the proposed techniques to a standard implementation using default parameters, which can be found in the literature, and to a manual registration by a medical expert. Additionally, we analyze the effects of various histogram sizes, sampling rates, and error thresholds for the number of histogram bins. The comparison of the parameter selection techniques yields 25 approaches in total, with 114 registrations each. The number of bins has no significant influence on the proposed implementation that performs better than both the manual and the standard method in terms of acceptance rates and target registration error (TRE). The overall mean TRE is 2.34 mm compared to 2.54 mm for the manual registration and 6.48 mm for a standard implementation. Our results show a significant TRE reduction for distortion-corrected magnetic resonance images. © 2010 IEEE.},
author = {Hahn, Dieter and Daum, Volker and Hornegger, Joachim},
doi = {10.1109/TMI.2010.2041358},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
note = {UnivIS-Import:2015-03-09:Pub.2010.tech.IMMD.IMMD5.automa},
pages = {1140-1155},
peerreviewed = {Yes},
title = {{Automatic} {Parameter} {Selection} for {Multi}-{Modal} {Image} {Registration}},
volume = {29},
year = {2010}
}
@inproceedings{faucris.121477224,
address = {Berlin Heidelberg},
author = {Grimm, Robert and Sukkau, Johann and Hornegger, Joachim and Greiner, Günther},
booktitle = {Informatik aktuell},
date = {2011-03-20/2011-03-22},
doi = {10.1007/978-3-642-19335-4{\_}84},
editor = {Handels Heinz, Ehrhardt Jan},
faupublication = {yes},
pages = {409-413},
peerreviewed = {No},
publisher = {Springer},
title = {{Automatic} {Patient} {Pose} {Estimation} {Using} {Pressure} {Sensing} {Mattresses}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Grimm11-APP.pdf},
venue = {Lübeck},
year = {2011}
}
@article{faucris.117697624,
author = {Koch, Martin and Brost, Alexander and Bourier, Felix and Hornegger, Joachim and Strobel, Norbert},
doi = {10.1117/1.JMI.1.1.015002},
faupublication = {yes},
journal = {Journal of Medical Imaging},
note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.automa{\_}7},
pages = {015002},
peerreviewed = {Yes},
title = {{Automatic} planning of atrial fibrillation ablation lines using landmark-constrained nonrigid registration},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Koch14-APO.pdf},
volume = {1},
year = {2014}
}
@inproceedings{faucris.118455744,
abstract = {In computed tomography fiducial markers are frequently used to obtain accurate point correspondences for further processing. These markers typically cause metal artefacts, decreasing image quality of the subsequent reconstruction and are therefore often removed from the projection data. The placement of such markers is usually done on a surface, separating two materials, e.g. skin and air. Hence, a correct restoration of the occluded area is difficult. In this work six state-of-the-art interpolation techniques for the removal of high-density fiducial markers from cone-beam CT projection data are compared. We conducted a qualitative and quantitative evaluation for the removal of such markers and the ability to reconstruct the adjoining edge. Results indicate that an iterative spectral deconvolution is best suited for this application, showing promising results in terms of edge, as well as noise restoration.},
author = {Berger, Martin and Forman, Christoph and Schwemmer, Chris and Choi, Jang-Hwan and Müller, Kerstin and Maier, Andreas and Hornegger, Joachim and Fahrig, Rebecca},
booktitle = {Bildverarbeitung für die Medizin 2014},
date = {2014-03-16/2014-03-18},
doi = {10.1007/978-3-642-54111-7{\_}59},
faupublication = {yes},
isbn = {9783642541100},
keywords = {GRK-1773; Interpolation; C-arm CT; Metal Artifact},
note = {UnivIS-Import:2015-07-08:Pub.2014.tech.IMMD.IMMD5.automa{\_}5},
pages = {168-173},
publisher = {Kluwer Academic Publishers},
title = {{Automatic} {Removal} of {Externally} {Attached} {Fiducial} {Markers} in {Cone} {Beam} {C}-arm {CT}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Berger14-ARO.pdf},
venue = {Aachen},
year = {2014}
}
@inproceedings{faucris.108178884,
address = {Portugal},
author = {El-Rafei, Ahmed Mohamed Ibrahim and Hornegger, Joachim and Engelhorn, Tobias and Dörfler, Arnd and Wärntges, Simone and Michelson, Georg},
booktitle = {Computational Vision and Medical Image Processing - VipIMAGE 2009},
date = {2009-10-14/2009-10-16},
editor = {Tavares João Manuel R.S., Jorge R.M. Natal},
faupublication = {yes},
pages = {293-298},
peerreviewed = {unknown},
publisher = {Taylor and Francis},
title = {{Automatic} {Segmentation} of the {Optic} {Radiation} using {DTI} in {Glaucoma} {Patients}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Elrafei09-ASO.pdf},
venue = {Porto},
year = {2009}
}
@article{faucris.121406604,
author = {El-Rafei, Ahmed Mohamed Ibrahim and Engelhorn, Tobias and Wärntges, Simone and Dörfler, Arnd and Hornegger, Joachim and Michelson, Georg},
faupublication = {yes},
journal = {Computational Vision and Medical Image Processing},
pages = {1-15},
peerreviewed = {Yes},
title = {{Automatic} {Segmentation} of the {Optic} {Radiation} {Using} {DTI} in {Healthy} {Subjects} and {Patients} with {Glaucoma}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Elrafei11-ASO.pdf},
volume = {19.0},
year = {2011}
}
@inproceedings{faucris.121222684,
abstract = {Registration of an individual's image data set to an anatomical atlas provides valuable information to the physician. In many cases, the individual image data sets are partial data, which may be mapped to one part or one organ of the entire atlas data. Most of the existing intensity based image registration approaches are designed to align images of the entire view. When they are applied to the registration with partial data, a manual pre-registration is usually required. This paper proposes a fully automatic approach to the registration of the incomplete image data to an anatomical atlas. The spatial transformations are modelled as any parametric functions. The proposed method is built upon a random search mechanism, which allows to find the optimal transformation randomly and globally even when the initialization is not ideal. It works more reliably than the existing methods for the partial data registration because it successfully overcomes the local optimum problem. With appropriate similarity measures, this framework is applicable to both mono-modal and multi-modal registration problems with partial data. The contribution of this work is the description of the mathematical framework of the proposed algorithm and the implementation of the related software. The medical evaluation on the MRI data and the comparison of the proposed method with different existing registration methods show the feasibility and superiority of the proposed method.},
author = {Han, Jingfeng and Qiao, Min and Hornegger, Joachim and Kuwert, Torsten and Bautz, Werner and Römer, Wolfgang},
booktitle = {Medical Imaging 2006: Image Processing},
doi = {10.1117/12.652281},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Automatic} sub-volume registration by probabilistic random search},
venue = {San Diego, CA},
volume = {null},
year = {2006}
}
@inproceedings{faucris.108104304,
author = {Paulus, Jan and Bock, Rüdiger and Meier, Jörg and Michelson, Georg and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2009 - Algorithmen, Systeme, Anwendungen},
date = {2009-03-22/2009-03-25},
editor = {Meinzer Hans-Peter, Deserno Thomas Martin, Handels Heinz, Tolxdorff Thomas},
faupublication = {yes},
pages = {237-241},
peerreviewed = {unknown},
title = {{Automatische} {Qualitätsmessung} von {Retina}-{Fundusbildern}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Paulus09-AQV.pdf},
venue = {Heidelberg},
year = {2009}
}
@inproceedings{faucris.107421864,
abstract = {In this paper we propose a new method for non-rigid registration of PET/CT datasets incorporating prior knowledge about the rigidity of regions within the PET volumes into the matching process. State-of-the-art medical image registration approaches usually assume that the whole image domain is associated with a homogeneous deformation property, thus bone structure and soft tissue have the same stiffness, for instance. This assumption, however, is invalid in the majority of cases. In many applications the deformation properties can be estimated automatically by a segmentation step, beforehand. The presented non-rigid registration method integrates knowledge about the tissue directly into the deformation field computation. For this reason, no additional post-processing steps, like filtering of the deformation field, are required. To integrate the tissue constraints the regularizer is replaced by a novel spatially dependent smoother. Dependent on the location within the image, the smoother is able to explicitly adjust the rigidity. Thus, different tissue classes can be treated in the registration process. To pass the stiffness coefficients to the algorithm an additional mask image is used. The registration results are illustrated on synthetic data first to give a good intuition about the effectiveness of the proposed method. Finally, we illustrate the improvement of the registration using real clinical data. It is shown that the mono-modal registration of PET images yields more reasonable results using a spatially dependent regularizer constraining the deformations of regions with high tracer concentration than using a normal curvature regularizer. Furthermore, the method is evaluated on multi-modal PET/CT registration problems.},
author = {Jäger, Florian and Han, Jingfeng and Hornegger, Joachim and Kuwert, Torsten},
booktitle = {Medical Imaging 2006: Image Processing},
doi = {10.1117/12.653047},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{A} variational approach to spatially dependent non-rigid registration},
venue = {San Diego, CA},
volume = {null},
year = {2006}
}
@inproceedings{faucris.113181904,
address = {Hamburg},
author = {Han, Jingfeng and Berkels, Benjamin and Rumpf, Martin and Hornegger, Joachim and Droske, Marc and Fried, Michael and Scorzin, Jasmin and Schaller, Carlo},
booktitle = {Bildverarbeitung für die Medizin 2006},
date = {2006-03-19/2006-03-21},
doi = {10.1007/3-540-32137-3{\_}50},
editor = {Handels H., Ehrhardt J., Horsch A., Meinzer H.-P., Tolxdorff T.},
faupublication = {yes},
pages = {246-250},
peerreviewed = {unknown},
publisher = {Springer},
title = {{A} {Variational} {Framework} for {Joint} {Image} {Registration}, {Denoising} and {Edge} {Detection}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2006/Han06-VAJ.pdf},
venue = {Hamburg},
year = {2006}
}
@inproceedings{faucris.118689384,
abstract = {In orthopedic and trauma surgery, metallic plates are used for reduction and fixation of bone fractures. In clinical practice, the intra-operative planning for screw fixation is usually based on fluoroscopic images. Screw fixation is then performed on a free-hand basis. As such, multiple attempts may be required in order to achieve an optimal positioning of the fixing screws. To help the physician insert the screws in accordance to the planned position, we propose a method for screw insertion guidance. Our approach uses a small video camera, rigidly placed on the drill, and a set of small markers that are rigidly fixed on a variable angle drill sleeve. In order to investigate the achievable accuracy of our setup, we simulate the estimation of the drill bit position under two different marker arrangements, planar and 3D, and different noise levels. Furthermore, we motivate our choices for marker design and position given the limited space available for marker positioning, the requirement for accurate position estimation of the drill bit and the illumination changes that could a affect the surgical site. We also describe our proposed marker detection and tracking pipeline. Our simulation results let us conclude that we can achieve an accuracy of 1 ° and 1mm in the estimation of angular orientation and tip position of the drill bit respectively, provided that we have accurate marker detection. © 2013 SPIE.},
author = {Magaraggia, Jessica and Kleinszig, Gerhard and Graumann, Rainer and Angelopoulou, Elli and Hornegger, Joachim},
booktitle = {SPIE Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling},
date = {2013-02-12/2013-02-14},
doi = {10.1117/12.2007718},
faupublication = {yes},
keywords = {Video-Guided Method; Marker Detection; Orthopedic and Trauma Surgery; Locking Screw Plates},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD5.avideo{\_}5},
pages = {86710X--86710X},
publisher = {International Society for Optical Engineering; 1999},
title = {{A} {Video} {Guided} {Solution} for {Screw} {Insertion} in {Orthopedic} {Plate} {Fixation}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Magaraggia13-AVG.pdf},
venue = {Lake Buena Vista (Orlando Area), Florida, USA},
volume = {8671},
year = {2013}
}
@inproceedings{faucris.113217324,
author = {Paulus, Jan and Hornegger, Joachim and Schmidt, Michael and Eskofier, Björn and Michelson, Georg},
booktitle = {Sportinformatik 2012},
date = {2012-09-12/2012-09-14},
editor = {Byshko R., Dahmen T., Gratkowski M., Gruber M., Quintana J., Saupe D., Vieten M., Woll A.},
faupublication = {yes},
pages = {102-105},
peerreviewed = {unknown},
title = {{A} {Virtual} {Environment} {Based} {Evaluating} {System} for {Goalkeepers} {Stereopsis} {Performance} in {Soccer}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Paulus12-AVE.pdf},
venue = {Konstanz},
year = {2012}
}
@article{faucris.120180324,
author = {Endres, Jürgen and Kowarschik, Markus and Redel, Thomas and Sharma, Puneet and Mihalef, Viorel and Hornegger, Joachim and Dörfler, Arnd},
doi = {10.1155/2012/306765},
faupublication = {yes},
journal = {Computational and Mathematical Methods in Medicine},
pages = {1-24},
peerreviewed = {Yes},
title = {{A} workflow for patient-individualized virtual angiogram generation based on {CFD} simulation},
year = {2012}
}
@article{faucris.114096884,
author = {Yu, Zhicong and Maier, Andreas and Lauritsch, Günter and Vogt, Florian and Schönborn, Manfred and Köhler, Christoph and Hornegger, Joachim and Noo, Frédéric},
doi = {10.1109/TMI.2014.2350986},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
note = {UnivIS-Import:2015-03-09:Pub.2015.tech.IMMD.IMMD5.axiall},
pages = {203-215},
peerreviewed = {Yes},
title = {{Axially} {Extended}-{Volume} {C}-{Arm} {CT} {Using} a {Reverse} {Helical} {Trajectory} in the {Interventional} {Room}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Yu15-AEC.pdf},
volume = {1},
year = {2015}
}
@inproceedings{faucris.203846621,
abstract = {Voice hoarseness can have various reasons, one of them is a change of the vocal fold mucus. This change can be examined with micro endoscopes. Cell detection in these images is a difficult task, due to bad image quality, caused by noise and illumination variations. In previous works, it was observed that the repetitive pattern of the cell walls cause an elliptical shape in the Fourier domain [1, 2]. A manual segmentation and back transformation of this shape results in filtered images, where the cell detection is much easier [3]. The goal of this work is to automatically segment the elliptical shape in Fourier domain. Two different approaches are developed to get a suitable band-pass filter: a thresholding and an active contour method. After the band-pass filter is applied, the achieved results are superior to the manual segmentation case.},
address = {Berlin Heidelberg},
author = {Bier, Bastian and Mualla, Firas and Steidl, Stefan and Bohr, Christopher and Neumann, Helmut and Maier, Andreas and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2015 - Algorithmen, Systeme, Anwendungen},
date = {2015-03-15/2015-03-17},
doi = {10.1007/978-3-662-46224-9{\_}71},
faupublication = {yes},
isbn = {978-3-662-46223-2},
keywords = {medizinische Bildverarbeitung; Zelldetektion},
note = {UnivIS-Import:2018-09-11:Pub.2015.tech.IMMD.IMMD5.bandpa{\_}5},
pages = {413-418},
peerreviewed = {unknown},
publisher = {Springer-Verlag},
series = {Informatik aktuell},
title = {{Band}-{Pass} {Filter} {Design} by {Segmentation} in {Frequency} {Domain} for {Detection} of {Epithelial} {Cells} in {Endomicroscope} {Images}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Bier15-BFD.pdf},
venue = {Lübeck},
volume = {0},
year = {2015}
}
@misc{faucris.123265604,
author = {Hornegger, Joachim and Paulus, Dietrich},
faupublication = {yes},
note = {UnivIS-Import:2016-06-27:Pub.1997.tech.IMMD.IMMD5.bayesi},
peerreviewed = {automatic},
title = {{Bayesian} {Vision}: {From} {Intensity} {Marginals} to {Mutual} {Information} and {Entropic} {Object} {Recognition}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1997/Hornegger97-BVF.pdf},
year = {1997}
}
@inproceedings{faucris.120323324,
address = {Berlin},
author = {Bock, Rüdiger and Hoppe, Stefan and Scherl, Holger and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2007},
date = {2007-03-25/2007-03-27},
editor = {Horsch Alexander, Deserno Thomas M., Handels Heinz, Meinzer Hans-Peter, Tolxdorff Thomas},
faupublication = {yes},
pages = {46-50},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Beam} {Hardering} {Correction} with an {Iterative} {Scheme} {Using} {Exact} {Backward} {Projector} and a {Polychromatic} {Forward} {Projector}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Bock07-BHC.pdf},
venue = {München},
year = {2007}
}
@inproceedings{faucris.107363564,
author = {Grimm, Robert and Block, Kai Tobias and Kiefer, Berthold and Hornegger, Joachim},
booktitle = {Proceedings of International Society for Magnetic Resonance in Medicine},
date = {2011-05-07/2011-05-13},
faupublication = {yes},
pages = {2677},
peerreviewed = {unknown},
title = {{Bias} {Correction} for {Respiration} {Detection} in {Radial} {3D} {Gradient}-{Echo} {Imaging}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Grimm11-BCF.pdf},
venue = {Montréal},
year = {2011}
}
@misc{faucris.121320364,
author = {Weber, Stefan and Schnörr, Christoph and Schüle, Thomas and Hornegger, Joachim},
faupublication = {yes},
peerreviewed = {automatic},
title = {{Binary} {Tomography} by {Iterating} {Linear} {Programs}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Weber05-BTB.pdf},
year = {2005}
}
@book{faucris.111821204,
abstract = {In this paper we improve the behavior of a reconstruction algorithm for binary tomography in the presence of noise. This algorithm which has recently been published is derived from a primal-dual subgradient method leading to a sequence of linear programs. The objective function contains a smoothness prior that favors spatially homogeneous solutions and a concave functional gradually enforcing binary solutions. We complement the objective function with a term to cope with noisy projections and evaluate its performance. © Springer-Verlag 2004.},
author = {Weber, Stefan and Schüle, Thomas and Hornegger, Joachim and Schnörr, Christoph},
doi = {10.1007/978-3-540-30503-3{\_}3},
faupublication = {yes},
pages = {38-51},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Binary} tomography by iterating linear programs from noisy projections},
volume = {3322},
year = {2004}
}
@inproceedings{faucris.116401824,
abstract = {In this paper we improve the behavior of a reconstruction algorithm for binary tomography in the presence of noise. This algorithm which has recently been published is derived from a primal-dual subgradient method leading to a sequence of linear programs. The objective function contains a smoothness prior that favors spatially homogeneous solutions and a concave functional gradually enforcing binary solutions. We complement the objective function with a term to cope with noisy projections and evaluate its performance. © Springer-Verlag 2004.},
address = {Berlin},
author = {Weber, Stefan and Schüle, Thomas and Hornegger, Joachim and Schnörr, Christoph},
booktitle = {Proceedings of International Workshop on Combinatorial Image Analysis (IWCIA)},
faupublication = {yes},
keywords = {Discrete Tomography; Combinatorial Optimization; Linear},
note = {UnivIS-Import:2015-04-16:Pub.2004.tech.IMMD.IMMD5.binary},
pages = {38-51},
peerreviewed = {unknown},
publisher = {Springer-verlag},
title = {{Binary} {Tomography} by {Iterating} {Linear} {Programs} from {Noisy} {Projections}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2004/Weber04-BTB.pdf},
venue = {Auckland},
year = {2004}
}
@inproceedings{faucris.121165704,
abstract = {Parkinson's disease (PD) is the most frequent neurodegenerative movement disorder. Early diagnosis and effective therapy monitoring is an important prerequisite to treat patients and reduce health care costs. Objective and non-invasive assessment strategies are an urgent need in order to achieve this goal. In this study we apply a mobile, lightweight and easy applicable sensor based gait analysis system to measure gait patterns in PD and to distinguish mild and severe impairment of gait. Examinations of 16 healthy controls, 14 PD patients in an early stage, and 13 PD patients in an intermediate stage were included. Subjects performed standardized gait tests while wearing sport shoes equipped with inertial sensors (gyroscopes and accelerometers). Signals were recorded wirelessly, features were extracted, and distinct subpopulations classified using different classification algorithms. The presented system is able to classify patients and controls (for early diagnosis) with a sensitivity of 88% and a specificity of 86%. In addition it is possible to distinguish mild from severe gait impairment (for therapy monitoring) with 100% sensitivity and 100% specificity. This system may be able to objectively classify PD gait patterns providing important and complementary information for patients, caregivers and therapists. © 2011 IEEE.},
author = {Barth, Jens and Klucken, Jochen and Kugler, Patrick and Kammerer, Thomas and Steidl, Ralph and Winkler, Jürgen and Hornegger, Joachim and Eskofier, Björn},
booktitle = {Engineering in Medicine and Biology Society,EMBC, 2011 Annual International Conference of the IEEE},
date = {2011-08-30/2011-09-03},
doi = {10.1109/IEMBS.2011.6090226},
faupublication = {yes},
pages = {868-871},
peerreviewed = {unknown},
title = {{Biometric} and {Mobile} {Gait} {Analysis} for {Early} {Detection} and {Therapy} {Monitoring} in {Parkinson}'s {Disease}},
venue = {Boston, MA},
volume = {null},
year = {2011}
}
@inproceedings{faucris.121379984,
address = {Erlangen},
author = {Scherl, Holger and Kowarschik, Markus and Hornegger, Joachim},
booktitle = {Frontiers in Simulation},
date = {2005-09-12/2005-09-15},
editor = {Hülsemann Frank, Kowarschik Markus, Rüde Ulrich},
faupublication = {yes},
pages = {662-667},
peerreviewed = {unknown},
publisher = {SCS Publishing House e.V.},
title = {{Bit}-{Accurate} {Simulation} of {Convolution}-{Based} {Filtering} on {Reconfigurable} {Hardware}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Scherl05-BSO.pdf},
venue = {Erlangen},
year = {2005}
}
@inproceedings{faucris.111437744,
abstract = {In this study, we proposed an empirical multi-material calibration pipeline for learning-based material decomposition. We used realistic short scan CT data from a general metric phantom using a Siemens C-arm system, and built the corresponding numeric phantom data in a software framework. After that we applied registration approaches for matching the simulated data to the acquired data, which generates prior knowledge for the following material decomposition process, as well as the ground truth for quantitative evaluations. According to the preliminary decomposition results, we successfully decomposed the inserted phantom plugs of different materials using learning-based material decomposition process, which indicates that the proposed approach is valid for learning-based material decomposition.},
address = {Prague, Czech Republic},
author = {Lu, Yanye and Berger, Martin and Manhart, Michael and Choi, Jang-Hwan and Hoheisel, Martin and Kowarschik, Markus and Fahrig, Rebecca and Ren, Qiushi and Hornegger, Joachim and Maier, Andreas},
booktitle = {Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
date = {2016-04-13/2016-04-16},
doi = {10.1109/ISBI.2016.7493306},
faupublication = {yes},
isbn = {9781479923502},
note = {UnivIS-Import:2017-12-18:Pub.2016.tech.IMMD.IMMD5.bridge{\_}9},
pages = {457-460},
peerreviewed = {unknown},
publisher = {IEEE},
title = {{Bridge} to {Real} {Data}: {Empirical} {Multiple} {Material} {Calibration} for {Learning}-{Based} {Material} {Decomposition}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Lu16-BTR.pdf},
venue = {Prague, Czech Republic},
volume = {2016-June},
year = {2016}
}
@inproceedings{faucris.113238444,
author = {Fischer, Peter and Pohl, Thomas and Brost, Alexander and Hornegger, Joachim},
booktitle = {2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)},
date = {2012-10-29/2012-11-03},
doi = {10.1109/NSSMIC.2012.6551621},
editor = {IEEE},
faupublication = {yes},
pages = {2730-2737},
peerreviewed = {unknown},
title = {{Bundle} {Adjustment} for {Marker}-{Based} {Rigid} {MR}/{X}-{Ray} {Registration}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Fischer12-BAF.pdf},
venue = {Anaheim, CA},
year = {2012}
}
@inproceedings{faucris.118689604,
abstract = {In orthopedic and trauma surgery, fracture reduction usually requires the use of metallic plates and their fixation by means of screws. The employment of guidance solutions during surgical procedures has become of great importance during the last decades. Our guidance solution exploits a small video camera placed directly on the instrument, for example a drill, and a set of small markers placed around the location where the drilling needs to be performed. A calibration step is required in order to determine the relative position of the instrument tip and axis w.r.t the coordinate system of the video camera. In this paper we describe a calibration method for our guidance solution. This calibration method exploits optical markers and a calibration plate whose geometry is known. Moreover, we show how we can exploit directly the image acquired by the video camera during the calibration in order to define an error measure to estimate the accuracy of the calibration. With this method, we achieved respectively an accuracy of 0.23mm and 3.40° in the estimation of the instrument tip position and of the orientation of the instrument axis.},
author = {Magaraggia, Jessica and Egli, Adrian and Kleinszig, Gerhard and Graumann, Rainer and Angelopoulou, Elli and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2013},
date = {2013-03-03/2013-03-05},
doi = {10.1007/978-3-642-36480-8{\_}7},
faupublication = {yes},
keywords = {Instrument calibration; Orthopedic surgery; Image-guidance},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD5.calibr{\_}8},
pages = {27-32},
publisher = {Kluwer Academic Publishers},
title = {{Calibration} of a {Camera}-{Based} {Guidance} {Solution} for {Orthopedic} and {Trauma} {Surgery}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Magaraggia13-COA.pdf},
venue = {Heidelberg, Germany},
year = {2013}
}
@inproceedings{faucris.120203644,
abstract = {In this paper, a novel calibration method for C-arm cone-beam (CB) scanners is presented which allows the calibration of the circle-plus-arc trajectory. The circle-plus-arc trajectory has been investigated recently for exact image reconstruction and is especially well suited for C-arm systems. The main idea is the separation of the trajectory into two segments (circle segment and arc segment) which are calibrated independently. For each trajectory segment, a calibration phantom is placed in an optimal way. The calibration results are then combined by computing the transformation the phantom experienced in-between the independent runs. This combination can be done in a postprocessing step by using the Singular Value Decomposition (SVD). The method works for any calibration procedure in which the phantom has a favored orientation with respect to a trajectory segment. Results are presented for both, simulated as well as real data acquired with a Siemens AXIOM Arris C-arm system. © 2006 IEEE.},
author = {Hoppe, Stefan and Noo, Frédéric and Dennerlein, Frank and Lauritsch, Günter and Hornegger, Joachim},
booktitle = {2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD},
doi = {10.1109/NSSMIC.2006.356486},
faupublication = {yes},
pages = {2913-2918},
peerreviewed = {unknown},
title = {{Calibration} of the circle-plus-arc trajectory},
venue = {San Diego, CA},
volume = {5},
year = {2007}
}
@inproceedings{faucris.121218504,
abstract = {The combination of real-time fluoroscopy and 3D cardiac imaging on the same C-arm system is a promising technique that might improve therapy planning, guiding, and monitoring in the interventional suite. In principal, to reconstruct a 3D image of the beating heart at a particular cardiac phase, a complete set of X-ray projection data representing that phase is required. One approximate approach is the retrospectively ECG-gated FDK reconstruction (RG-FDK). From the acquired data set of N multiple C-arm sweeps, those projection images which are acquired closest in time to the desired cardiac phase are retrospectively selected. However, this approach uses only 1/N of the obtained data. Our goal is to utilize data from other cardiac phases as well. In order to minimize blurring and motion artifacts, cardiac motion has to be compensated for, which can be achieved using a temporally dependent spatial 3D warping of the filtered-backprojections. In this work we investigate the computation of the 4D heart motion based on prior reconstructions of several cardiac phases using RG-FDK. A 4D motion estimation framework is presented using standard fast non-rigid registration. A smooth 4D motion vector field (MVF) represents the relative deformation compared to a reference cardiac phase. A 4D deformation regridding by adaptive supersampling allows selecting any reference phase independently of the set of phases used in the RG-FDK for a motion corrected reconstruction. Initial promising results from in vivo experiments are shown. The subjects individual 4D cardiac MVF could be computed from only three RG-FDK image volumes. In addition, all acquired projection data were motion corrected and subsequently used for image reconstruction to improve the signal-to-noise ratio compared to RG-FDK.},
author = {Prümmer, Marcus and Fahrig, Rebecca and Wigström, Lars and Boese, Jan and Lauritsch, Günter and Strobel, Norbert and Hornegger, Joachim},
booktitle = {Medical Imaging 2007: Physics of Medical Imaging},
doi = {10.1117/12.708151},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Cardiac} {C}-arm {CT}: {4D} non-model based heart motion estimation and its application},
venue = {San Diego, CA},
volume = {6510},
year = {2007}
}
@article{faucris.121198924,
abstract = {Generating 3-D images of the heart during interventional procedures is a significant challenge. In addition to real time fluoroscopy, angiographic C-arm systems can also now be used to generate 3-D/4-D CT images on the same system. One protocol for cardiac CT uses ECG triggered multisweep scans. A 3-D volume of the heart at a particular cardiac phase is then reconstructed by applying Feldkamp (FDK) reconstruction to the projection images with retrospective ECG gating. In this work we introduce a unified framework for heart motion estimation and dynamic cone-beam reconstruction using motion corrections. The benefits of motion correction are 1) increased temporal and spatial resolution by removing cardiac motion which may still exist in the ECG gated data sets and 2) increased signal-to-noise ratio (SNR) by using more projection data than is used in standard ECG gated methods. Three signal-enhanced reconstruction methods are introduced that make use of all of the acquired projection data to generate a 3-D reconstruction of the desired cardiac phase. The first averages all motion corrected back-projections; the second and third perform a weighted averaging according to 1) intensity variations and 2) temporal distance relative to a time resolved and motion corrected reference FDK reconstruction. In a comparison study seven methods are compared: nongated FDK, ECG-gated FDK, ECG-gated, and motion corrected FDK, the three signal-enhanced approaches, and temporally aligned and averaged ECG-gated FDK reconstructions. The quality measures used for comparison are spatial resolution and SNR. Evaluation is performed using phantom data and animal models. We show that data driven and subject-specific motion estimation combined with motion correction can decrease motion-related blurring substantially. Furthermore, SNR can be increased by up to 70% while maintaining spatial resolution at the same level as is provided by the ECG-gated FDK. The presented framework provides excellent image quality for cardiac C-arm CT. © 2009 IEEE.},
author = {Prümmer, Marcus and Hornegger, Joachim and Lauritsch, Günter and Wigstroem, Lars and Girard-Hughes, Erin and Fahrig, Rebecca},
doi = {10.1109/TMI.2009.2025499},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
pages = {1836-1849},
peerreviewed = {Yes},
title = {{Cardiac} c-arm {CT}: {A} unified framework for motion estimation and dynamic {CT}},
volume = {28},
year = {2009}
}
@inproceedings{faucris.120203864,
abstract = {Cardiac C-arm CT is a promising technique that enables 3D cardiac image acquisition and real-time fluoroscopy on the same system. The goal is to bring 3D imaging to the interventional suite for improved therapy planning, guidance, and monitoring. For the reconstruction of 3D cardiac image data, a complete set of projections from a specific heart phase is required. One approach to reduce motion blurring caused by the beating heart is to acquire multiple sweeps using the Carm and retrospectively select the projections that are closest to the desired cardiac phase. In order to further improve the temporal resolution, novel image processing algorithms that utilize retrospective motion correction were investigated in this study. The main focus of this work is to extend the well established FDK algorithm to incorporate motion correction during the backprojection step using a subject specific computed motion field. In a simulation study we show that motion blurring can be decreased significantly using the subjects' individual estimated heart motion based on a time series of retrospectively gated FDK reconstructions. In our experiments using an animal model we investigated the following two scenarios: (I) Can the image quality from a single sweep be improved given a subjects' individual prior computed motion field? (II) Can improved image quality be achieved using the full temporal resolution of a multi-sweep scan for motion estimation in combination with motion correction? Our results show that increasing temporal resolution using an first order estimated 4D motion vector field of the subjects' individual heart motion in the FDK-4D algorithm can decrease motion blurring substantially for both investigated scenarios. © 2006 IEEE.},
author = {Prümmer, Marcus and Wigström, Lars and Hornegger, Joachim and Boese, Jan and Lauritsch, Günter and Strobel, Norbert and Fahrig, Rebecca},
booktitle = {2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD},
doi = {10.1109/NSSMIC.2006.354444},
faupublication = {yes},
pages = {2620-2628},
peerreviewed = {unknown},
title = {{Cardiac} {C}-arm {CT}: {Efficient} motion correction for {4D}-{FBP}},
venue = {San Diego, CA},
volume = {4},
year = {2007}
}
@inproceedings{faucris.121208824,
abstract = {Image guidance during cardiac interventional procedures (IP) using cardiac C-arm CT systems is desirable for many procedures. Applying the concept of retrospective electrocardiogram gating (ECG) to the acquisition of multiple, ECG-triggered rotational acquisitions using a C-arm system allows the 3D+t reconstruction of the heart. The process of retrospective gating is a crucial component of 3-D reconstruction. The gold-standard in gating is still ECG based. However, the ECG signal does not directly reflect the mechanical situation of the heart. Therefore an alternative gating method, based on the acquired projection data is required. Our goal is to provide an image-based gating (IBG) method without ECG such that already acquired projection data from a multi-sweep acquisition can still be used for reconstruction. We formulate the gating problem as a shortest-path optimization problem. All acquired projection images build a directed graph and the path costs are defined by projection image similarities that are based on image metrics to measure the heart phase similarity. The optimization is additionally regularized to prefer solutions where the path segment of consecutive selected projections acquired along a particular forward or backward C-arm sweep is short. This regularization depends on an estimated average heart rate that is also estimated using an image-based method. First promising results using in-vivo data are presented and compared to standard ECG gating. We conclude that the presented IBG method provides a reliable gating.},
author = {Rohkohl, Christopher and Prümmer, Marcus and Fahrig, Rebecca and Lauritsch, Günter and Hornegger, Joachim},
booktitle = {Medical Imaging 2008 - Physics of Medical Imaging},
doi = {10.1117/12.770124},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Cardiac} {C}-arm {CT}: {Image}-based gating},
venue = {San Diego, CA},
volume = {6913},
year = {2008}
}
@inproceedings{faucris.108037644,
address = {Berlin},
author = {Prümmer, Marcus and Wigström, Lars and Fahrig, Rebecca and Lauritsch, Günter and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2007},
date = {2007-03-25/2007-03-27},
editor = {Horsch Alexander, Deserno Thomas M., Handels Heinz, Meinzer Hans-Peter, Tolxdorff Thomas},
faupublication = {yes},
pages = {222-226},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Cardiac} {C}-{Arm} {CT}: {SNR} {Enhancement} by {Combining} {Multiple} {Retrospectively} {Motion} {Corrected} {FDK}-like {Reconstructions}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Pruemmer07-CCC.pdf},
venue = {München},
year = {2007}
}
@inproceedings{faucris.120201004,
abstract = {For many interventional procedures the 3-D reconstruction of dynamic high contrast objects from C-arm data is desirable. We present a method for compensating artifacts from periodic motions by providing a modified filtered backprojection algorithm. The proposed algorithm comprises three steps: First, the reconstruction of an initial reference volume from a phaseconsistent subset of the projection data. Secondly, the selection of proper data for a motion corrected reconstruction using as many projections as possible in the third step. The first step is addressed by gating in combination with a modified backprojection operator which reduces streak artifacts, the second by analysis of the cardiac motion characteristics and the impact on gated reconstruction quality and the third by accumulating gated sub-reconstructions registered with the reference volume. We present first clinical results from real patient data for the reconstruction of the coronary sinus. © 2008 IEEE.},
author = {Rohkohl, Christopher and Lauritsch, Günter and Nöttling, Alois and Prümmer, Marcus and Hornegger, Joachim},
booktitle = {2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008},
doi = {10.1109/NSSMIC.2008.4774387},
faupublication = {yes},
pages = {5113-5120},
peerreviewed = {unknown},
title = {{C}-arm {CT}: {Reconstruction} of dynamic high contrast objects applied to the coronary sinus},
venue = {Dresden},
volume = {null},
year = {2008}
}
@inproceedings{faucris.118745924,
author = {Müller, Kerstin and Lauritsch, Günter and Schwemmer, Chris and Maier, Andreas and Taubmann, Oliver and Abt, Bernd and Köhler, Henning and Nöttling, Alois and Hornegger, Joachim and Fahrig, Rebecca},
booktitle = {Proceedings of the third international conference on image formation in x-ray computed tomography},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.cathet{\_}3},
pages = {418-421},
title = {{Catheter} artifact reduction ({CAR}) in dynamic cardiac chamber imaging with interventional {C}-arm {CT}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Mueller14-CAR.pdf},
venue = {Salt Lake City, Utah, USA},
year = {2014}
}
@book{faucris.121185944,
abstract = {Atrial fibrillation is the most common sustained arrhythmia. One important treatment option is radio-frequency catheter ablation (RFCA) of the pulmonary veins attached to the left atrium. RFCA is usually performed under fluoroscopic (X-ray) image guidance. Overlay images computed from pre-operative 3-D volumetric data can be used to add anatomical detail otherwise not visible under X-ray. Unfortunately, current fluoro overlay images are static, i.e., they do not move synchronously with respiratory and cardiac motion. A filter-based catheter tracking approach using simultaneous biplane fluoroscopy was previously presented. It requires localization of a circumferential tracking catheter, though. Unfortunately, the initially proposed method may fail to accommodate catheters of different size. It may also detect wrong structures in the presence of high background clutter. We developed a new learning-based approach to overcome both problems. First, a 3-D model of the catheter is reconstructed. A cascade of boosted classifiers is then used to segment the circumferential mapping catheter. Finally, the 3-D motion at the site of ablation is estimated by tracking the reconstructed model in 3-D from biplane fluoroscopy. We compared our method to the previous approach using 13 clinical data sets and found that the 2-D tracking error improved from 1.0 mm to 0.8 mm. The 3-D tracking error was reduced from 0.8 mm to 0.7 mm. © 2010 Springer-Verlag.},
address = {Heidelberg, Berlin},
author = {Brost, Alexander and Wimmer, Andreas and Liao, Rui and Hornegger, Joachim and Strobel, Norbert},
doi = {10.1007/978-3-642-15986-2{\_}30},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2010.tech.IMMD.IMMD5.cathet},
pages = {293-302},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Catheter} tracking: {Filter}-based vs. learning-based},
volume = {6376},
year = {2010}
}
@article{faucris.120195724,
abstract = {The 3D reconstruction of cardiac vasculature, e.g. the coronary arteries, using C-arm CT (rotational angiography) is an active and challenging field of research. There are numerous publications on different reconstruction techniques. However, there is still a lack of comparability of achieved results for several reasons: foremost, datasets used in publications are not open to public and thus experiments are not reproducible by other researchers. Further, the results highly depend on the vasculature motion, i.e. cardiac and breathing motion patterns which are also not comparable across publications. We aim to close this gap by providing an open platform, called Cavarev (CArdiac VAsculature Reconstruction EValuation). It features two simulated dynamic projection datasets based on the 4D XCAT phantom with contrasted coronary arteries which was derived from patient data. In the first dataset, the vasculature undergoes a continuous periodic motion. The second dataset contains aperiodic heart motion by including additional breathing motion. The geometry calibration and acquisition protocol were obtained from a real-world C-arm system. For qualitative evaluation of the reconstruction results, the correlation of the morphology is used. Two segmentation-based quality measures are introduced which allow us to assess the 3D and 4D reconstruction quality. They are based on the spatial overlap of the vasculature reconstruction with the ground truth. The measures enable a comprehensive analysis and comparison of reconstruction results independent from the utilized reconstruction algorithm. An online platform (www.cavarev.com) is provided where the datasets can be downloaded, researchers can manage and publish algorithm results and download a reference C++ and Matlab implementation. © 2010 Institute of Physics and Engineering in Medicine.},
author = {Rohkohl, Christopher and Lauritsch, Günter and Keil, Andreas and Hornegger, Joachim},
doi = {10.1088/0031-9155/55/10/008},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
pages = {2905-2915},
peerreviewed = {Yes},
title = {{CAVAREV} - {An} open platform for evaluating {3D} and {4D} cardiac vasculature reconstruction},
volume = {55},
year = {2010}
}
@inproceedings{faucris.121429484,
author = {Schmitt, Katharina and Schöndube, Harald and Stiersdorfer, Karl and Hornegger, Joachim and Noo, Frédéric},
booktitle = {Proceedings of the 12th Fully Three-Dimensional image Reconstruction in Radiology and Nuclear Medicine},
date = {2013-06-16/2013-06-21},
editor = {Leahy Richard, Qi Jinyi},
faupublication = {yes},
pages = {432-435},
title = {{Challenges} posed by statistical weights and data redundancies in iterative {X}-ray {CT} reconstruction},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Schmitt13-CPB.pdf},
venue = {Lake Tahoe, CA},
year = {2013}
}
@article{faucris.108351584,
abstract = {Enface SS-OCT at 1050nm enables a precise qualitative and quantitative characterization of the individual choroidal layers in normal eyes. Only the CC is relatively thinner in the older eyes. In-vivo evaluation of the choroid at variable depths may be potentially valuable in understanding the natural history of age-related posterior segment disease.},
author = {Adhi, Mehreen and Ferrara, Daniela and Mullins, Robert F. and Baumal, Caroline R. and Mohler, Kathrin J. and Kraus, Martin F. and Liu, Jonathan and Badaro, Emmerson and Alasil, Tarek and Hornegger, Joachim and Fujimoto, James G. and Duker, Jay S. and Waheed, Nadia K.},
doi = {10.1371/journal.pone.0133080},
faupublication = {yes},
journal = {PLoS ONE},
peerreviewed = {Yes},
title = {{Characterization} of {Choroidal} {Layers} in {Normal} {Aging} {Eyes} {Using} {Enface} {Swept}-{Source} {Optical} {Coherence} {Tomography}},
volume = {10},
year = {2015}
}
@article{faucris.116385544,
abstract = {Purpose To compare visualization of choroidal neovascularization (CNV) secondary to age-related macular degeneration (AMD) using an ultrahigh-speed swept-source (SS) optical coherence tomography angiography (OCTA) prototype vs a spectral-domain (SD) OCTA device. Design Comparative analysis of diagnostic instruments. Methods Patients were prospectively recruited to be imaged on SD OCT and SS OCT devices on the same day. The SD OCT device employed is the RTVue Avanti (Optovue, Inc, Fremont, California, USA), which operates at ∼840 nm wavelength and 70 000 A-scans/second. The SS OCT device used is an ultrahigh-speed long-wavelength prototype that operates at ∼1050 nm wavelength and 400 000 A-scans/second. Two observers independently measured the CNV area on OCTA en face images from the 2 devices. The nonparametric Wilcoxon signed rank test was used to compare area measurements and P values of <.05 were considered statistically significant. Results Fourteen eyes from 13 patients were enrolled. The CNV in 11 eyes (78.6%) were classified as type 1, 2 eyes (14.3%) as type 2, and 1 eye (7.1%) as mixed type. Total CNV area measured using SS OCT and SD OCT 3 mm × 3 mm OCTA were 0.949 ± 1.168 mm and 0.340 ± 0.301 mm, respectively (P =.001). For the 6 mm × 6 mm OCTA the total CNV area using SS OCT and SD OCT were 1.218 ± 1.284 mm and 0.604 ± 0.597 mm, respectively (P =.0019). The field of view did not significantly affect the measured CNV area (P =.19 and P =.18 for SS OCT and SD OCT, respectively). Conclusion SS OCTA yielded significantly larger CNV areas than SD OCTA. It is possible that SS OCTA is better able to demarcate the full extent of CNV vasculature.},
author = {Novais, Eduardo A. and Adhi, Mehreen and Moult, Eric M. and Louzada, Ricardo N. and Cole, Emily D. and Husvogt, Lennart and Lee, Byungkun and Dang, Sabin and Regatieri, Caio V S and Witkin, André J. and Baumal, Caroline R. and Hornegger, Joachim and Jayaraman, Vijaysekhar and Fujimoto, James G. and Duker, Jay S. and Waheed, Nadia K.},
doi = {10.1016/j.ajo.2016.01.011},
faupublication = {yes},
journal = {American Journal of Ophthalmology},
pages = {80-88},
peerreviewed = {unknown},
title = {{Choroidal} {Neovascularization} {Analyzed} on {Ultrahigh}-{Speed} {Swept}-{Source} {Optical} {Coherence} {Tomography} {Angiography} {Compared} to {Spectral}-{Domain} {Optical} {Coherence} {Tomography} {Angiography}},
url = {https://www.sciencedirect.com/science/article/pii/S0002939416300447},
volume = {164},
year = {2016}
}
@article{faucris.114045844,
abstract = {CONCLUSIONS. The 3D 1060-nm OCT choroidal imaging visualized significant changes in choroidal, Sattler's, and Haller's layer thickness in relation to the progression of AMD. This may be important for understanding the choroidopathy in the pathophysiology of AMD.},
author = {Esmaeelpour, Marieh and Ansari-Shahrezaei, Siamak and Glittenberg, Carl and Nemetz, Susanne and Kraus, Martin and Hornegger, Joachim and Fujimoto, James G. and Drexler, Wolfgang and Binder, Susanne},
doi = {10.1167/iovs.14-14646},
faupublication = {yes},
journal = {Investigative Ophthalmology & Visual Science},
keywords = {age-related macular degeneration;optical coherence tomography;choroidal thickness maps;retina;choroid;retina},
pages = {5074-5080},
peerreviewed = {Yes},
title = {{Choroid}, {Haller}'s, and {Sattler}'s {Layer} {Thickness} in {Intermediate} {Age}-{Related} {Macular} {Degeneration} {With} and {Without} {Fellow} {Neovascular} {Eyes}},
volume = {55},
year = {2014}
}
@article{faucris.120394824,
abstract = {Background: Diagnosis of intestinal metaplasia and dysplasia via conventional endoscopy is characterized by low interobserver agreement and poor correlation with histopathologic findings. Chromoendoscopy significantly enhances the visibility of mucosa irregularities, like metaplasia and dysplasia mucosa. Magnetically guided capsule endoscopy (MGCE) offers an alternative technology for upper GI examination. We expect the difficulties of diagnosis of neoplasm in conventional endoscopy to transfer to MGCE. Thus, we aim to chart a path for the application of chromoendoscopy on MGCE via an ex-vivo animal study.Methods: We propose a modified preparation protocol which adds a staining step to the existing MGCE preparation protocol. An optimal staining concentration is quantitatively determined for different stain types and pathologies. To that end 190 pig stomach tissue samples with and without lesion imitations were stained with different dye concentrations. Quantitative visual criteria are introduced to measure the quality of the staining with respect to mucosa and lesion visibility. Thusly determined optimal concentrations are tested in an ex-vivo pig stomach experiment under magnetic guidance of an endoscopic capsule with the modified protocol.Results: We found that the proposed protocol modification does not impact the visibility in the stomach or steerability of the endoscopy capsule. An average optimal staining concentration for the proposed protocol was found at 0.4% for Methylene blue and Indigo carmine. The lesion visibility is improved using the previously obtained optimal dye concentration.Conclusions: We conclude that chromoendoscopy may be applied in MGCE and improves mucosa and lesion visibility. Systematic evaluation provides important information on appropriate staining concentration. However, further animal and human in-vivo studies are necessary. © 2013 Mewes et al.; licensee BioMed Central Ltd.},
author = {Mewes, Philip and Foertsch, Stefan and Juloski, Aleksandar Lj and Angelopoulou, Elli and Gölder, Stefan and Guldi, Dirk Michael and Hornegger, Joachim and Messmann, Helmut},
doi = {10.1186/1475-925X-12-52},
faupublication = {yes},
journal = {Biomedical Engineering Online},
peerreviewed = {Yes},
title = {{Chromoendoscopy} in magnetically guided capsule endoscopy},
volume = {12},
year = {2013}
}
@article{faucris.120191324,
abstract = {X-ray-based 2D digital subtraction angiography (DSA) plays a major role in the diagnosis, treatment planning and assessment of cerebrovascular disease, i.e. aneurysms, arteriovenous malformations and intracranial stenosis. DSA information is increasingly used for secondary image post-processing such as vessel segmentation, registration and comparison to hemodynamic calculation using computational fluid dynamics. Depending on the amount of injected contrast agent and the duration of injection, these DSA series may not exhibit one single DSA image showing the entire vessel tree. The interesting information for these algorithms, however, is usually depicted within a few images. If these images would be combined into one image the complexity of segmentation or registration methods using DSA series would drastically decrease. In this paper, we propose a novel method automatically splitting a DSA series into three parts, i.e. mask, arterial and parenchymal phase, to provide one final image showing all important vessels with less noise and moving artifacts. This final image covers all arterial phase images, either by image summation or by taking the minimum intensities. The phase classification is done by a two-step approach. The mask/arterial phase border is determined by a Perceptron-based method trained from a set of DSA series. The arterial/parenchymal phase border is specified by a threshold-based method. The evaluation of the proposed method is two-sided: (1) comparison between automatic and medical expert-based phase selection and (2) the quality of the final image is measured by gradient magnitudes inside the vessels and signal-to-noise (SNR) outside. Experimental results show a match between expert and automatic phase separation of 93%/50% and an average SNR increase of up to 182% compared to summing up the entire series. © 2011 Institute of Physics and Engineering in Medicine.},
author = {Schuldhaus, Dominik and Spiegel, Martin and Redel, T. and Polyanskaya, Maria and Struffert, Tobias and Hornegger, Joachim and Dörfler, Arnd},
doi = {10.1088/0031-9155/56/6/017},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
pages = {1791-1802},
peerreviewed = {Yes},
title = {{Classification}-based summation of cerebral digital subtraction angiography series for image post-processing algorithms},
volume = {56},
year = {2011}
}
@inproceedings{faucris.111147124,
abstract = {Confocal laser endomicroscopy is a recently introduced advanced imaging technique which enables microscopic imaging of the mucosa in-vivo. This technique has already been applied successfully during diagnosis of gastrointestinal diseases. Whereas for this purpose several computer aided diagnosis approaches exist, we present a classification system that is able to differentiate between healthy and pathological images of the oral cavity. Varying textural features of small rectangular regions are evaluated using random forests and support vector machines. Preliminary results reach up to 99.2% classification rate. This indicates that an automatic classification system to differentiate between healthy and pathological mucosa of the oral cavity is feasible.},
address = {Berlin Heidelberg},
author = {Jaremenko, Christian and Maier, Andreas and Steidl, Stefan and Hornegger, Joachim and Oetter, Nicolai and Knipfer, Christian and Stelzle, Florian and Neumann, Helmut},
booktitle = {Bildverarbeitung für die Medizin 2015},
date = {2015-03-15/2015-03-17},
doi = {10.1007/978-3-662-46224-9},
faupublication = {yes},
isbn = {9783662462232},
note = {UnivIS-Import:2017-12-18:Pub.2015.tech.IMMD.IMMD5.classi{\_}8},
pages = {479-485},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Classification} of {Confocal} {Laser} {Endomicroscopic} {Images} of the {Oral} {Cavity} to {Distinguish} {Pathological} from {Healthy} {Tissue}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Jaremenko15-COC.pdf},
venue = {Lübeck},
year = {2015}
}
@inproceedings{faucris.121410124,
address = {Braunschweig und Berlin},
author = {Eskofier, Björn and Hornegger, Joachim and Oleson, Mark and Munson, Ian and Krabbe, Berthold and DiBenedetto, Christian},
booktitle = {Innovationen bei der Erfassung und Analyse bioelektrischer und biomagnetischer Signale},
date = {2008-07-16/2008-07-18},
editor = {Malberg Hagen, Sander-Thömmes Tilmann, Wessel Niels, Wolf Werner},
faupublication = {yes},
pages = {147-150},
peerreviewed = {unknown},
publisher = {Physikalisch-Technische Bundesanstalt},
title = {{Classification} of {Running} {Surface} on an {Embedded} {System} - a {Digital} {Sports} {Example} {Application}},
venue = {Universität Potsdam},
year = {2008}
}
@article{faucris.203680464,
author = {Huang, Xiaolin and Suykens, Johan A. K. and Wang, Shuning and Hornegger, Joachim and Maier, Andreas},
doi = {10.1109/TNNLS.2017.2668610},
faupublication = {yes},
journal = {IEEE Transactions on Neural Networks},
keywords = {Classification; indefinite kernel; piecewise linear (PWL)},
note = {UnivIS-Import:2018-09-05:Pub.2018.tech.IMMD.IMMD5.classi{\_}7},
pages = {2025-2030},
peerreviewed = {Yes},
title = {{Classification} {With} {Truncated} l1 {Distance} {Kernel}},
volume = {29},
year = {2018}
}
@book{faucris.111779624,
abstract = {Glaucoma is one of the most common causes of blindness and it is becoming even more important considering the ageing society. Because healing of died retinal nerve fibers is not possible early detection and prevention is essential. Robust, automated mass-screening will help to extend the symptom-free life of affected patients. We devised a novel, automated, appearance based glaucoma classification system that does not depend on segmentation based measurements. Our purely data-driven approach is applicable in large-scale screening examinations. It applies a standard pattern recognition pipeline with a 2-stage classification step. Several types of image-based features were analyzed and are combined to capture glaucomatous structures. Certain disease independent variations such as illumination inhomogeneities, size differences, and vessel structures are eliminated in the preprocessing phase. The "vesselfree" images and intermediate results of the methods are novel representations of the data for the physicians that may provide new insight into and help to better understand glaucoma. Our system achieves 86 % success rate on a data set containing a mixture of 200 real images of healthy and glaucomatous eyes. The performance of the system is comparable to human medical experts in detecting glaucomatous retina fundus images. © Springer-Verlag Berlin Heidelberg 2007.},
address = {Berlin},
author = {Bock, Rüdiger and Meier, Jörg and Michelson, Georg and Nyul, Laszlo Gabor and Hornegger, Joachim},
doi = {10.1007/978-3-540-74936-3{\_}36},
faupublication = {yes},
isbn = {978-3-540-74933-2},
note = {UnivIS-Import:2015-04-16:Pub.2007.tech.IMMD.IMMD5.classi},
pages = {355-364},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Classifying} glaucoma with image-based features from fundus photographs},
volume = {4713/2007},
year = {2007}
}
@inproceedings{faucris.121133804,
author = {Schwemmer, Chris and Lauritsch, Günter and Kleinfeld, Albrecht and Rohkohl, Christopher and Müller, Kerstin and Hornegger, Joachim},
booktitle = {Proceedings of the third international conference on image formation in x-ray computed tomography},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.clinic{\_}7},
pages = {60-63},
title = {{Clinical} {Data} {Evaluation} of {C}-arm-based {Motion} {Compensated} {Coronary} {Artery} {Reconstruction}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Schwemmer14-CDE.pdf},
venue = {Salt Lake City, Utah, USA},
year = {2014}
}
@inproceedings{faucris.120198584,
abstract = {Providing a stable horizon on endoscopic images especially in non-rigid endoscopic surgery (particularly NOTES) is still an open issue. Image rectification can be realized with a tiny MEMS tri-axial inertial sensor that is placed on the tip of an endoscope. By measuring the impact of gravity on each of the three orthogonal axes the rotation angle can be estimated with some calculations out of these three acceleration values. Achievable repetition rate for angle termination has to be above the usual endoscopic video frame rate of 25-30Hz. The accelerometer frame rate can be set up to 400 Hz. Accuracy has to be less than one degree even within periods of high movement and superposed acceleration. Therefore an intelligent downsampling algorithm has to be found. The image rotation is performed by rotating digitally a capture of the endoscopic analog video signal. Improvements and benefits have been evaluated in a clinical evaluation: For different peritoneoscopic tasks time was taken and instrument position was tracked and recorded.},
author = {Höller, Kurt Emmerich and Penne, Jochen and Hornegger, Joachim and Schneider, Armin and Gillen, Sonja and Feußner, Hubertus and Jahn, Jasper and Gutierrez, Javier and Wittenberg, Thomas},
booktitle = {6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009},
faupublication = {yes},
pages = {713-717},
peerreviewed = {unknown},
title = {{Clinical} {Evaluation} of {Endorientation}:{Gravity} related rectification for endoscopic images},
url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-70450273232&origin=inward},
venue = {Salzburg},
volume = {null},
year = {2009}
}
@article{faucris.108169864,
author = {Michelson, Georg and Wärntges, Simone and Engelhorn, Tobias and El-Rafei, Ahmed Mohamed Ibrahim and Hornegger, Joachim and Dörfler, Arnd},
doi = {10.4172/2155-9570.S4-001},
faupublication = {yes},
journal = {Clinical and Experimental Ophthalmology},
pages = {1-6},
peerreviewed = {Yes},
title = {{Cluster} {Analysis} of {Glaucoma} {Patients} {Using} the {Retinal} {Nerve} {Fiber} {Layer} {Thickness} of the {Optic} {Nerve} and {DTI} {Parameters} of the {Optic} {Radiation}},
volume = {S4:001},
year = {2011}
}
@article{faucris.121120824,
abstract = {Catheter ablation of atrial fibrillation has become an accepted treatment option if a patient no longer responds to or tolerates drug therapy. A main goal is the electrical isolation of the pulmonary veins attached to the left atrium. Catheter ablation may be performed under fluoroscopic image guidance. Due to the rather low soft-tissue contrast of X-ray imaging, the heart is not visible in these images. To overcome this problem, overlay images from pre-operative 3-D volumetric data can be used to add anatomical detail. Unfortunately, this overlay is compromised by respiratory and cardiac motion. In the past, two methods have been proposed to perform motion compensation. The first approach involves tracking of a circumferential mapping catheter placed at an ostium of a pulmonary vein. The second method relies on a motion estimate obtained by localizing an electrode of the coronary sinus (CS) catheter. We propose a new motion compensation scheme which combines these two methods. The effectiveness of the proposed method is verified using 19 real clinical data sets. The motion in the fluoroscopic images was estimated with an overall average error of 0.55 mm by tracking the circumferential mapping catheter. By applying an algorithm involving both the CS catheter and the circumferential mapping catheter, we were able to detect motion of the mapping catheter from one pulmonary vein to another with a false positive rate of 5.8 %.},
author = {Brost, Alexander and Wu, Wen and Koch, Martin and Wimmer, Andreas and Chen, Terrence and Liao, Rui and Hornegger, Joachim and Strobel, Norbert},
doi = {10.1007/978-3-642-23623-5{\_}68},
faupublication = {yes},
journal = {Lecture Notes in Computer Science},
note = {UnivIS-Import:2015-04-16:Pub.2011.tech.IMMD.IMMD5.combin{\_}3},
pages = {540-547},
peerreviewed = {Yes},
title = {{Combined} {Cardiac} and {Respiratory} {Motion} {Compensation} for {Atrial} {Fibrillation} {Ablation} {Procedures}},
volume = {14},
year = {2011}
}
@inproceedings{faucris.121152504,
abstract = {The forward projection operator is a key component of every iterative reconstruction method in X-ray computed tomography (CT). Besides the choices being made in the definition of the objective function and associated constraints, the forward projection model affects both bias and noise properties of the reconstruction. In this work, we compare three important forward projection models that rely on linear interpolation: the Joseph method, the distance-driven method, and the image representation using B-splines of order n = 1. The comparison focuses on bias and noise in the image as a function of the resolution. X-ray CT data that are simulated in fan-beam geometry with two different magnification factors are used. © 2013 SPIE.},
author = {Schmitt, Katharina and Schöndube, Harald and Stiersdorfer, Karl and Hornegger, Joachim and Noo, Frédéric},
booktitle = {Medical Imaging 2013: Physics of Medical Imaging},
doi = {10.1117/12.2008175},
faupublication = {yes},
pages = {-},
title = {{Comparative} evaluation of linear interpolation models for iterative reconstruction in {X}-ray {CT}},
venue = {Lake Buena Vista, FL},
volume = {8668},
year = {2013}
}
@inproceedings{faucris.111045044,
author = {Unberath, Mathias and Maier, Andreas and Fleischmann, Dominik and Hornegger, Joachim and Fahrig, Rebecca},
booktitle = {Proceedings of the GRC},
faupublication = {yes},
note = {UnivIS-Import:2017-12-18:Pub.2015.tech.IMMD.IMMD5.compar},
pages = {5-8},
peerreviewed = {unknown},
title = {{Comparative} {Evaluation} of {Two} {Registration}-based {Segmentation} {Algorithms}: {Application} to {Whole} {Heart} {Segmentation} in {CT}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Unberath15-CEO.pdf},
venue = {Aachen, Germany},
year = {2015}
}
@article{faucris.122516284,
abstract = {Intra-operative imaging techniques for obtaining the shape and morphology of soft-tissue surfaces in vivo are a key enabling technology for advanced surgical systems. Different optical techniques for 3-D surface reconstruction in laparoscopy have been proposed, however, so far no quantitative and comparative validation has been performed. Furthermore, robustness of the methods to clinically important factors like smoke or bleeding has not yet been assessed. To address these issues, we have formed a joint international initiative with the aim of validating different state-of-the-art passive and active reconstruction methods in a comparative manner. In this comprehensive in vitro study, we investigated reconstruction accuracy using different organs with various shape and texture and also tested reconstruction robustness with respect to a number of factors like the pose of the endoscope as well as the amount of blood or smoke present in the scene. The study suggests complementary advantages of the different techniques with respect to accuracy, robustness, point density, hardware complexity and computation time. While reconstruction accuracy under ideal conditions was generally high, robustness is a remaining issue to be addressed. Future work should include sensor fusion and in vivo validation studies in a specific clinical context. To trigger further research in surface reconstruction, stereoscopic data of the study will be made publically available at www.open-CAS.com upon publication of the paper.},
author = {Maier-Hein, L. and Groch, A. and Bartoli, A. and Bodenstedt, S. and Boissonnat, G. and Chang, P-L and Clancy, N. T. and Elson, D. S. and Haase, Sven and Heim, E. and Hornegger, Joachim and Jannin, P. and Kenngott, H. and Kilgus, T. and Mueller-Stich, B. and Oladokun, D. and Roehl, S. and Dos Santos, T. R. and Schlemmer, H-P and Seitel, A. and Speidel, S. and Wagner, Martin and Stoyanov, D.},
doi = {10.1109/TMI.2014.2325607},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
keywords = {Biomedical imaging;endoscopes;optical imaging;stereo image processing;stereo vision;surgery},
pages = {1913-1930},
peerreviewed = {Yes},
title = {{Comparative} {Validation} of {Single}-{Shot} {Optical} {Techniques} for {Laparoscopic} 3-{D} {Surface} {Reconstruction}},
volume = {33},
year = {2014}
}
@article{faucris.121181764,
abstract = {In this paper, a method is described to automatically estimate the visible body region of a computed tomography (CT) volume image. In order to quantify the body region, a body coordinate (BC) axis is used that runs in longitudinal direction. Its origin and unit length are patient-specific and depend on anatomical landmarks. The body region of a test volume is estimated by registering it only along the longitudinal axis to a set of reference CT volume images with known body coordinates. During these 1D registrations, an axial image slice of the test volume is compared to an axial slice of a reference volume by extracting a descriptor from both slices and measuring the similarity of the descriptors. A slice descriptor consists of histograms of visual words. Visual words are code words of a quantized feature space and can be thought of as classes of image patches with similar appearance. A slice descriptor is formed by sampling a slice on a regular 2D grid and extracting a Speeded Up Robust Features (SURF) descriptor at each sample point. The codebook, or visual vocabulary, is generated in a training step by clustering SURF descriptors. Each SURF descriptor extracted from a slice is classified into the closest visual word (or cluster center) and counted in a histogram. A slice is finally described by a spatial pyramid of such histograms. We introduce an extension of the SURF descriptors to an arbitrary number of dimensions (N-SURF). Here, we make use of 2-SURF and 3-SURF descriptors. Cross-validation on 84 datasets shows the robustness of the results. The body portion can be estimated with an average error of 15.5. mm within 9. s. Possible applications of this method are automatic labeling of medical image databases and initialization of subsequent image analysis algorithms. © 2010 Elsevier Ltd.},
author = {Feulner, Johannes and Zhou, S. Kevin and Angelopoulou, Elli and Seifert, Sascha and Hornegger, Joachim and Comaniciu, Dorin and Cavallaro, Alexander Josef},
doi = {10.1016/j.compmedimag.2010.11.004},
faupublication = {yes},
journal = {Computerized Medical Imaging and Graphics},
pages = {227-236},
peerreviewed = {Yes},
title = {{Comparing} axial {CT} slices in quantized {N}-dimensional {SURF} descriptor space to estimate the visible body region},
volume = {35},
year = {2011}
}
@article{faucris.107391064,
abstract = {Purpose: Interventional reconstruction of 3-D volumetric data from C-arm CT projections is a computationally demanding task. Hardware optimization is not an option but mandatory for interventional image processing and, in particular, for image reconstruction due to the high demands on performance. Several groups have published fast analytical 3-D reconstruction on highly parallel hardware such as GPUs to mitigate this issue. The authors show that the performance of modern CPU-based systems is in the same order as current GPUs for static 3-D reconstruction and outperforms them for a recent motion compensated (3-D+time) image reconstruction algorithm. Methods: This work investigates two algorithms: Static 3-D reconstruction as well as a recent motion compensated algorithm. The evaluation was performed using a standardized reconstruction benchmark, RABBITCT, to get comparable results and two additional clinical data sets. Results: The authors demonstrate for a parametric B-spline motion estimation scheme that the derivative computation, which requires many write operations to memory, performs poorly on the GPU and can highly benefit from modern CPU architectures with large caches. Moreover, on a 32-core Intel® Xeon® server system, the authors achieve linear scaling with the number of cores used and reconstruction times almost in the same range as current GPUs. Conclusions: Algorithmic innovations in the field of motion compensated image reconstruction may lead to a shift back to CPUs in the future. For analytical 3-D reconstruction, the authors show that the gap between GPUs and CPUs became smaller. It can be performed in less than 20 s (on-the-fly) using a 32-core server. © 2011 American Association of Physicists in Medicine.},
author = {Hofmann, Hannes and Keck, Benjamin and Rohkohl, Christopher and Hornegger, Joachim},
doi = {10.1118/1.3525838},
faupublication = {yes},
journal = {Medical Physics},
pages = {468-473},
peerreviewed = {Yes},
title = {{Comparing} performance of many-core {CPUs} and {GPUs} for static and motion compensated reconstruction of {C}-arm {CT} data},
volume = {38},
year = {2011}
}
@article{faucris.120192424,
abstract = {One of the main tasks of shoe manufacturing is the production of well fitting shoes for different specialized markets. The key to conduct this properly is the analysis of the factors that influence the variations of the foot shape. In this paper methods and results of clustering and analysis of 3D foot surfaces are presented. The data were collected from a study with more than 12,000 feet that have been laser-scanned. The database contains point clouds acquired from persons coming from different regions of the world. Furthermore, additional personal data were collected. Two different methods for quantifying the similarity of 3D surface point clouds are therefore developed. The first method generally works on nearly arbitrary 3D surface point clouds, while the second one is specialized on foot data sets. These similarity measures were used on the data sets of the foot-shape study, together with clustering and feature quality evaluation methods. The purpose was to obtain information about the impact of, and the relationship among, the different factors influencing the shape of a foot. Through the observations of the experiments presented here it was possible to build up a hierarchy of different levels of feature-groups determined by their impact on the foot shape. Furthermore, an investigation of the quality and amount of impact of the features, according to their ability to separate specific subgroups of persons, is shown. Based on these results it was possible to select those features, which result in the largest effect when designing shoes for e.g. the Asian versus European markets. © 2009 Springer-Verlag.},
author = {Grimmer, Rainer and Eskofier, Björn and Schlarb, Heiko and Hornegger, Joachim},
doi = {10.1007/s00138-009-0230-y},
faupublication = {yes},
journal = {Machine Vision and Applications},
pages = {235-243},
peerreviewed = {Yes},
title = {{Comparison} and classification of {3D} objects surface point clouds on the example of feet},
volume = {22},
year = {2011}
}
@article{faucris.121020724,
author = {Heimann, Tobias and Van Ginneken, Bram and Styner, Martin A. and Arzhaeva, Yulia and Aurich, Volker and Bauer, Christian and Beck, Andreas and Becker, Christoph and Beichel, Reinhard and Bekes, Gyoergy and Bello, Fernando and Binnig, Gerd and Bischof, Horst and Bornik, Alexander and Cashman, Peter M. M. and Chi, Ying and Cordova, Andres and Dawant, Benoit M. and Fidrich, Marta and Furst, Jacob D. and Furukawa, Daisuke and Grenacher, Lars and Hornegger, Joachim and Kainmueller, Dagmar and Kitney, Richard I. and Kobatake, Hidefumi and Lamecker, Hans and Lange, Thomas and Lee, Jeongjin and Lennon, Brian and Li, Rui and Li, Senhu and Meinzer, Hans-Peter and Nemeth, Gabor and Raicu, Daniela S. and Rau, Anne-Mareike and Van Rikxoort, Eva M. and Rousson, Mikael and Rusko, Laszlo and Saddi, Kinda A. and Schmidt, Guenter and Seghers, Dieter and Shimizu, Akinobu and Slagmolen, Pieter and Sorantin, Erich and Soza, Grzegorz and Susomboon, Ruchaneewan and Waite, Jonathan M. and Wimmer, Andreas and Wolf, Ivo},
doi = {10.1109/TMI.2009.2013851},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
pages = {1251-1265},
peerreviewed = {Yes},
title = {{Comparison} and {Evaluation} of {Methods} for {Liver} {Segmentation} from {CT} datasets},
volume = {28.0},
year = {2009}
}
@inproceedings{faucris.113135484,
author = {Hahn, Dieter and Daum, Volker and Hornegger, Joachim and Kuwert, Torsten},
booktitle = {Nuklearmedizin Kongressausgabe 02/07},
date = {2007-04-25},
editor = {Deutsche Gesellschaft für Nuklearmedizin (DGN)},
faupublication = {yes},
pages = {A59},
peerreviewed = {unknown},
title = {{Comparison} of {Differences} between {Intra}- and {Inter}-{Ictal} {SPECT} {Images} with {MRI} using {Registration} {Techniques}},
venue = {Hannover},
year = {2007}
}
@inproceedings{faucris.121449724,
address = {Karlsruh},
author = {Weinlich, Andreas and Keck, Benjamin and Scherl, Holger and Kowarschik, Markus and Hornegger, Joachim},
booktitle = {Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC'08)},
date = {2008-11-08},
editor = {Buchty Rainer, Weiß Jan-Philipp},
faupublication = {yes},
pages = {25-30},
peerreviewed = {unknown},
publisher = {Universitätsverlag Karlsruhe},
title = {{Comparison} of {High}-{Speed} {Ray} {Casting} on {GPU} using {CUDA} and {OpenGL}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Weinlich08-COH.pdf},
venue = {Lake Como},
year = {2008}
}
@inproceedings{faucris.108124984,
author = {Aksoy, Murat and Forman, Christoph and Straka, Matus and Holdsworth, Samantha and Skare, Stefan and Hornegger, Joachim and Bammer, Roland},
booktitle = {Proceedings of the ISMRM Workshop on Current Concepts of Motion Correction for MRI & MRS},
date = {2010-02-24/2010-02-28},
editor = {International Society for Magnetic Resonance in Medicine (ISMRM)},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Comparison} of {Image}-{Based} {Retrospective} and {Optical} {Prospective} {Motion} {Correction} for {Diffusion} {Tensor} {Imaging}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Aksoy10-COI.pdf},
venue = {Kitzbühel},
year = {2010}
}
@article{faucris.120204744,
abstract = {Object: This retrospective study compares the anatomical accuracy of automated rigid and non-rigid registration software for aligning data from separately performed X-ray computed tomography (CT) and positron emission tomography with F-18-deoxyglucose (PET). Materials and methods: Analyses were performed on independently acquired PET and CT data from 40 tumor patients. Rigid as well as non-rigid automated fusion was carried out using the commercially available Mirada 7D platform (MIR and MINR, respectively) as well as a second automated non-rigid registration based on a variational image registration approach (VIR). Distances between lesion representation on PET and CT of 105 malignant lesions were measured in X-, Y-, and Z-directions. Statistical evaluation was performed using mixed effect analysis, comparing separately MIR with MINR and VIR with MINR. Results: The percentage of lesions misregistered by less than 15 mm varied from 70% for MIR and MINR in Z-direction to 93% for VIR in X-direction. The average X-, Y- and Z-distances ranged between 5.9 ± 5.7 mm for VIR in X-direction and 12.8 ± 9.7 mm for MIR in Z-direction. MINR was significantly more accurate than MIR in Y-direction. Furthermore, VIR aligned thoracic lesions in the X- direction significantly better than MINR. Conclusion: The accuracy of rigid and non-rigid automated image registration can be expected to be better than 15 mm for the majority of lesions. Alignment tended to be more accurate with non-rigid registration. © CARS 2007.},
author = {Wolz, Gabriele and Nömayr, Anton and Hothorn, Torsten and Hornegger, Joachim and Römer, Wolfgang and Bautz, Werner and Kuwert, Torsten},
doi = {10.1007/s11548-007-0128-y},
faupublication = {yes},
journal = {International Journal of Computer Assisted Radiology and Surgery},
pages = {183-190},
peerreviewed = {unknown},
title = {{Comparison} of performance between rigid and non-rigid software registering {CT} to {FDG}-{PET}},
volume = {2},
year = {2007}
}
@inproceedings{faucris.203706478,
address = {Springer},
author = {Schaffert, Roman and Wang, Jian and Borsdorf, Anja and Hornegger, Joachim and Maier, Andreas},
booktitle = {Bildverarbeitung für die Medizin},
doi = {10.1007/978-3-662-49465-3{\_}26},
faupublication = {yes},
note = {UnivIS-Import:2018-09-06:Pub.2016.tech.IMMD.IMMD5.compar{\_}0},
pages = {140-145},
peerreviewed = {Yes},
publisher = {Springer},
title = {{Comparison} of {Rigid} {Gradient}-{Based} {2D}/{3D} {Registration} {Using} {Projection} and {Back}-{Projection} {Strategies}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Schaffer16-COR.pdf},
venue = {Berlin},
year = {2016}
}
@article{faucris.113889204,
author = {Kagemann, Larry and Wollstein, Gadi and Kostanyan, Tigran and Lucy, Katie A. and Ishikawa, Hiroshi and Fujimoto, James G. and Lu, Chen D. and Hornegger, Joachim and Sigal, Ian A. and Schuman, Joel S.},
faupublication = {yes},
journal = {Investigative Ophthalmology & Visual Science},
peerreviewed = {Yes},
title = {{Comprehensive} {Mapping} of {Ostia} {Locations} {Requires} {Multiple} {Sectioning} {Orientations}},
volume = {56},
year = {2015}
}
@book{faucris.121187264,
abstract = {Valve replacement is the most common therapy for diseased aortic valves. Percutaneous approaches are becoming increasingly popular, due to reduced procedural complications and lower follow-up rates. Still there is a lack of efficient tools for valve quantification and preoperative simulation of replacement and repair procedures. Thus the success of the intervention relies to a large portion on experience and skills of the operator. In this paper we propose a novel framework for preoperative planning, intraoperative guidance and post-operative assessment of percutaneous aortic valve replacement procedures with stent mounted devices. A comprehensive model of the aortic valvular complex including aortic valve and aorta ascendens is estimated with fast and robust learning-based techniques from cardiac CT images. Consequently our model is used to perform a in-silico delivery of the valve implant based on deformable simplex meshes and geometrical constraints. The predictive power of the model-based in-silico valve replacement was validated on 3D cardiac CT data from 20 patients through comparison of preoperative prediction against postoperatively imaged real device. In our experiments the method performed with an average accuracy of 2.18 mm and a speed of 55 seconds. To the best of our knowledge, this is the first time a computational framework is validated using real pre- and postoperative patient data. © 2010 Springer-Verlag.},
address = {Heidelberg},
author = {Voigt, Ingmar and Ionasec, Razvan and Georgescu, Bogdan and Boese, Jan and Brockmann, Gernot and Hornegger, Joachim and Comaniciu, Dorin},
doi = {10.1007/978-3-642-15699-1{\_}26},
faupublication = {yes},
isbn = {978-3-642-15698-4},
note = {UnivIS-Import:2015-04-16:Pub.2010.tech.IMMD.IMMD5.comput},
pages = {247-256},
peerreviewed = {Yes},
publisher = {Springer-verlag},
series = {Lecture Notes in Computer Science},
title = {{Computational} decision support for percutaneous aortic valve implantation},
volume = {null},
year = {2010}
}
@book{faucris.121195844,
abstract = {The assessment of anomalies in the scoliotic spine using Magnetic Resonance Imaging (MRI) is an essential task during the planning phase of a patient's treatment and operations. Due to the pathologic bending of the spine, this is an extremely time consuming process as an orthogonal view onto every vertebra is required. In this article we present a system for computer-aided assessment (CAA) of anomalies in 3-D MRI images of the spine relying on curved planar reformations (CPR). We introduce all necessary steps, from the pre-processing of the data to the visualization component. As the core part of the framework is based on a segmentation of the spinal cord we focus on this. The proposed segmentation method is an iterative process. In every iteration the segmentation is updated by an energy based scheme derived from Markov random field (MRF) theory. We evaluate the segmentation results on public available clinical relevant 3-D MRI data sets of scoliosis patients. In order to assess the quality of the segmentation we use the angle between automatically computed planes through the vertebra and planes estimated by medical experts. This results in a mean angle difference of less than six degrees. © 2009 Springer-Verlag.},
author = {Jäger, Florian and Hornegger, Joachim and Schwab, Siegfried and Janka, Rolf Matthias},
doi = {10.1007/978-3-642-04271-3{\_}99},
faupublication = {yes},
pages = {819-826},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Computer}-aided assessment of anomalies in the scoliotic spine in 3-{D} {MRI} images},
volume = {null},
year = {2009}
}
@inproceedings{faucris.118273584,
abstract = {The assessment of anomalies in the scoliotic spine using Magnetic Resonance Imaging (MRI) is an essential task during the planning phase of a patient's treatment and operations. Due to the pathologic bending of the spine, this is an extremely time consuming process as an orthogonal view onto every vertebra is required. In this article we present a system for computer-aided assessment (CAA) of anomalies in 3-D MRI images of the spine relying on curved planar reformations (CPR). We introduce all necessary steps, from the pre-processing of the data to the visualization component. As the core part of the framework is based on a segmentation of the spinal cord we focus on this. The proposed segmentation method is an iterative process. In every iteration the segmentation is updated by an energy based scheme derived from Markov random field (MRF) theory. We evaluate the segmentation results on public available clinical relevant 3-D MRI data sets of scoliosis patients. In order to assess the quality of the segmentation we use the angle between automatically computed planes through the vertebra and planes estimated by medical experts. This results in a mean angle difference of less than six degrees.},
address = {Berlin - Heidelberg},
author = {Jäger, Florian and Hornegger, Joachim and Schwab, Siegfried and Janka, Rolf Matthias},
booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II},
faupublication = {yes},
isbn = {978-3-642-04270-6},
note = {UnivIS-Import:2015-04-16:Pub.2009.tech.IMMD.IMMD5.comput{\_}4},
pages = {819-826},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Computer}-{Aided} {Assessment} of {Anomalies} in the {Scoliotic} {Spine} in 3-{D} {MRI} {Images}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Jaeger09-CAO.pdf},
venue = {London, UK},
year = {2009}
}
@incollection{faucris.110710864,
abstract = {Glaucoma is one of the major causes for blindness with a high rate of unreported cases. To reduce this number, screening programs are performed. However, these are characterized by a high workload for manual and cost-intensive assessment. Computer-aided diagnostics (CAD) to perform an automated pre-exclusion of normals might help to improve program's efficiency. This chapter reviews and discusses recent advances in the development of pattern recognition algorithms for automated glaucoma detection based on structural retinal image data. Two main methodologies for glaucoma detection are introduced: (i) structure-driven approaches that mainly rely on the automated extraction of specific medically relevant indicators and (ii) data-driven techniques that perform a generic machine learning approach on entire image data blobs. Both approaches show a reasonable and comparable performance although they rely on different basic assumptions. A combination of these might further improve CAD for a more efficient and cost-sensitive workflow as a major proportion of normals will be excluded from unnecessary detailed investigations.},
address = {Berlin},
author = {Köhler, Thomas and Bock, Rüdiger and Hornegger, Joachim and Michelson, Georg},
booktitle = {Teleophthalmology in Preventive Medicine},
doi = {10.1007/978-3-662-44975-2{\_}9},
faupublication = {yes},
isbn = {978-3-662-44974-5},
note = {UnivIS-Import:2015-10-26:Pub.2015.tech.IMMD.IMMD5.comput},
pages = {93-104},
peerreviewed = {unknown},
publisher = {Springer Berlin Heidelberg},
title = {{Computer}-{Aided} {Diagnostics} and {Pattern} {Recognition}: {Automated} {Glaucoma} {Detection}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Koehler15-CAD.pdf},
year = {2015}
}
@article{faucris.107417024,
abstract = {Hybrid scanners, which enable the performance of single photon emission computed tomography (SPECT) and X-ray computed tomography (CT) in one imaging session, have considerable diagnostic potential. However, evaluating the anatomical accuracy of image fusion inherent to these systems remains a challenge. This paper proposes a method for evaluating this variable with minimum user interaction. It focuses on measuring the distance between the centers of gravity of the SPECT hot spot and its counterpart in the CT image. A localized maximally stable extremal regions method is proposed to automatically segment SPECT hot spots, while the corresponding CT structures are segmented by the semi-automatic random walk method, based on a fast multigrid solver. Accuracy and reproducibility of the validation method have been preliminary confirmed by the test with 21 clinical data-sets. © 2008 Elsevier Ltd. All rights reserved.},
author = {Han, Jingfeng and Köstler, Harald and Bennewitz, Christian and Kuwert, Torsten and Hornegger, Joachim},
doi = {10.1016/j.compmedimag.2008.03.002},
faupublication = {yes},
journal = {Computerized Medical Imaging and Graphics},
pages = {388-395},
peerreviewed = {Yes},
title = {{Computer}-aided evaluation of anatomical accuracy of image fusion between {X}-ray {CT} and {SPECT}},
volume = {32},
year = {2008}
}
@article{faucris.121155804,
abstract = {OBJECTIVE: The purpose of this study was to investigate the anatomical accuracy of hardware-based single-photon emission computed tomography/computed tomography (SPECT/CT) registration in the upper abdomen and neck. METHODS: The database consisted of 90 patients referred for SPECT/CT for diagnostic workup of either thyroid/parathyroid disease (n=46) or abdominal neuroendocrine tumours (n=44). In the first group, Tc-MIBI was used as the tracer and in the second I-metaiodobenzylguanidine (n=13), In-octreotide (n=28) or Tc-octreotide (n=3). For predefined structures represented by both modalities, the distances between the centres of gravity of their CT and SPECT representation were determined in a semiautomated manner. In cervical data sets, this analysis was performed for the submandibular salivary glands (n=92) and in abdominal data sets for 69 neoplastic foci. RESULTS: The mean distances were 5.7±2.0 mm (range: 1.84-9.67 mm) in the neck and 6.8±3.3 mm (range: 1.4-19.7 mm) in the abdomen. In 42 out of 92 of the cervical and 40 out of 69 of the abdominal data sets at least one of the X-direction-determined, Y-direction-determined, and Z-direction-determined distances was greater than the SPECT pixel width of 4.6 mm. CONCLUSION: The anatomical accuracy of hardware-based SPECT/CT fusion depends also on the region of the body studied. For example, in the neck and upper abdomen the accuracy is lower than in the lower lumbar spine. In clinical routine, SPECT/CT data sets acquired for the neck and upper abdomen should be regularly checked and corrected for SPECT/CT misalignment. This is, in particular, important when CT-based corrections of SPECT involving pixelwise data integration such as for attenuation correction are made. © 2012 Wolters Kluwer Health | Lippincott Williams & Wilkins.},
author = {Hahn, Dieter and Bennewitz, Christian and Kuwert, Torsten and Han, Jingfeng and Ritt, Philipp and Hahn, Dieter and Thimister, Willie and Hornegger, Joachim and Uder, Michael and Schmidt, Daniela},
doi = {10.1097/MNM.0b013e32835839cc},
faupublication = {yes},
journal = {Nuclear Medicine Communications},
pages = {1153-1159},
peerreviewed = {Yes},
title = {{Computer}-aided evaluation of the anatomical accuracy of hybrid {SPECT}/spiral-{CT} imaging of lesions localized in the neck and upper abdomen},
volume = {33},
year = {2012}
}
@inproceedings{faucris.121381304,
address = {Berlin},
author = {Prümmer, Marcus and Hornegger, Joachim and Schnörr, Christoph},
booktitle = {Bildverarbeitung für die Medizin 2004},
date = {2004-03-29/2004-03-30},
editor = {Tolxdorff T., Braun J., Handels H., Horsch A., Meinzer H.-P.},
faupublication = {yes},
pages = {314-318},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Computergestützte} {Gefäßanalyse} für die interventionelle {Anwendung}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2004/Pruemmer04-CGF.pdf},
venue = {Berlin},
year = {2004}
}
@inproceedings{faucris.108086044,
author = {Dennerlein, Frank and Noo, Frédéric and Schöndube, Harald and Hornegger, Joachim and Lauritsch, Günter},
booktitle = {Proceedings Fully 3D Meeting and HPIR Workshop},
date = {2007-07-09/2007-07-13},
editor = {Kachelrieß Marc},
faupublication = {yes},
pages = {346-349},
peerreviewed = {unknown},
title = {{Cone}-beam {Reconstruction} on a {Circlar} {Short}-scan using the {Factorization} {Approach}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Dennerlein07-CRO.pdf},
venue = {Lindau},
year = {2007}
}
@inproceedings{faucris.121217844,
abstract = {In C-arm computed tomography (CT) systems, the source trajectory does not follow an ideal trajectory. Thus, the real data acquisition geometry is typically expressed by a sequence of projection matrices. However, exact reconstruction algorithms are based on an analytic expression of the projection geometry. In this work, we present a reformulation of an exact reconstruction method to handle projection matrices. In particular, the M-line approach is investigated for a short-scan circle-plus-arc data acquisition. The computation of the derivative with respect to the source trajectory is numerically most critical for which a novel and stable implementation is developed. In order to determine the backprojection range, a 2D polygonal weighting scheme is proposed. Image results are presented from phantom data acquired by a Siemens AXIOM Artis C-arm system. Excellent image results are achieved. Due to the complete data acquisition, the problem of cone artifacts is totally resolved. © 2006 IEEE.},
author = {Hoppe, Stefan and Dennerlein, Frank and Lauritsch, Günter and Hornegger, Joachim and Noo, Frédéric},
booktitle = {2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD},
doi = {10.1109/NSSMIC.2006.356476},
faupublication = {yes},
pages = {2873-2877},
peerreviewed = {unknown},
title = {{Cone}-beam tomography from short-scan cirele-plus-are data measured on a {C}-arm system},
venue = {San Diego, CA},
volume = {5},
year = {2007}
}
@inproceedings{faucris.120202764,
abstract = {A major drawback of Katsevich's exact general cone-beam inversion scheme is the difficulty in finding practical algorithms adapted to every novel type of source trajectory. We succeeded to overcome this problem, and can formulate reconstruction algorithms, for trajectories that are related through a linear distortion to an already studied scenario. The introduced theory yields two reconstruction strategies that are in principle independent from the underlying reconstruction algorithm and are either based on data pre- and post-processing or on adjustment of filtering directions. Numerical results based on simulated cone-beam data are presented. © 2006 IEEE.},
author = {Dennerlein, Frank and Noo, Frédéric and Hoppe, Stefan and Hornegger, Joachim and Lauritsch, Günter},
booktitle = {2006 IEEE Nuclear Science Symposium, Medical Imaging Conference and 15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors, Special Focus Workshops, NSS/MIC/RTSD},
doi = {10.1109/NSSMIC.2006.354376},
faupublication = {yes},
pages = {2311-2315},
peerreviewed = {unknown},
title = {{Cone}-beam tomography with linearly distorted source trajectories},
venue = {San Diego, CA},
volume = {4},
year = {2007}
}
@article{faucris.208851702,
author = {Maier, Andreas and Hofmann, Hannes and Berger, Martin and Fischer, Peter and Schwemmer, Chris and Wu, Haibo and Müller, Kerstin and Hornegger, Joachim and Choi, Jang-Hwan and Riess, Christian and Keil, Andreas and Fahrig, Rebecca},
doi = {10.1118/1.4824926},
faupublication = {yes},
journal = {Medical Physics},
pages = {111914},
peerreviewed = {Yes},
title = {{CONRAD} - {A} software framework for cone-beam imaging in radiology},
url = {https://aapm.onlinelibrary.wiley.com/doi/full/10.1118/1.4824926},
volume = {40},
year = {2013}
}
@book{faucris.121176044,
abstract = {Fluoroscopic overlay images rendered from pre-operative volumetric data can provide additional guidance for physicians during catheter ablation procedures for treatment of atrial fibrillation (AFib). As these overlay images are compromised by cardiac and respiratory motion, motion compensation methods have been proposed. The approaches so far either require simultaneous biplane imaging for 3-D motion compensation or, in case of mono-plane X-ray imaging, provide only a limited 2-D functionality. To overcome the downsides of the previously suggested methods, we propose a new approach that facilitates full 3-D motion compensation even if only mono-plane X-ray views are available. To this end, we use constrained model-based 2-D/3-D registration to track a circumferential mapping catheter which is commonly used during AFib catheter ablation procedures. Our approach yields an average 2-D tracking error of 0.6 mm and an average 3-D tracking error of 2.1 mm. © 2011 Springer-Verlag.},
address = {Berlin / Heidelberg},
author = {Brost, Alexander and Wimmer, Andreas and Liao, Rui and Hornegger, Joachim and Strobel, Norbert},
doi = {10.1007/978-3-642-21504-9{\_}13},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2011.tech.IMMD.IMMD5.constr{\_}6},
pages = {133-144},
peerreviewed = {Yes},
publisher = {Springer-verlag},
series = {Lecture Notes in Computer Science},
title = {{Constrained} 2-{D}/3-{D} registration for motion compensation in {AFib} ablation procedures},
volume = {6689},
year = {2011}
}
@article{faucris.120185604,
abstract = {Fluoroscopic overlay images rendered from preoperative volumetric data can provide additional anatomical details to guide physicians during catheter ablation procedures for treatment of atrial fibrillation (AFib). As these overlay images are often compromised by cardiac and respiratory motion, motion compensation methods are needed to keep the overlay images in sync with the fluoroscopic images. So far, these approaches have either required simultaneous biplane imaging for 3-D motion compensation, or in case of monoplane X-ray imaging, provided only a limited 2-D functionality. To overcome the downsides of the previously suggested methods, we propose an approach that facilitates a full 3-D motion compensation even if only monoplane X-ray images are available. To this end, we use a training phase that employs a biplane sequence to establish a patient specific motion model. Afterwards, a constrained model-based 2-D/3-D registration method is used to track a circumferential mapping catheter. This device is commonly used for AFib catheter ablation procedures. Based on the experiments on real patient data, we found that our constrained monoplane 2-D/3-D registration outperformed the unconstrained counterpart and yielded an average 2-D tracking error of 0.6 mm and an average 3-D tracking error of 1.6 mm. The unconstrained 2-D/3-D registration technique yielded a similar 2-D performance, but the 3-D tracking error increased to 3.2 mm mostly due to wrongly estimated 3-D motion components in X-ray view direction. Compared to the conventional 2-D monoplane method, the proposed method provides a more seamless workflow by removing the need for catheter model re-initialization otherwise required when the C-arm view orientation changes. In addition, the proposed method can be straightforwardly combined with the previously introduced biplane motion compensation technique to obtain a good trade-off between accuracy and radiation dose reduction. © 2011 IEEE.},
author = {Brost, Alexander and Wimmer, Andreas and Liao, Rui and Bourier, Felix and Koch, Martin and Strobel, Norbert and Kurzidim, Klaus and Hornegger, Joachim},
doi = {10.1109/TMI.2011.2181184},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
pages = {870-881},
peerreviewed = {Yes},
title = {{Constrained} registration for motion compensation in atrial fibrillation ablation procedures},
volume = {31},
year = {2012}
}
@inproceedings{faucris.121215644,
abstract = {We introduce a novel approach for 3D image reconstruction from CB data acquired along a full circular trajectory. Our approach, which we refer to as the Z-smart reconstruction method, follows the scheme of 1D filtering and 3D backprojection, while providing flexibility in the choice of the filtering directions. This flexibility allows us to modify the appearance of CB artifacts in the reconstruction results, so that, for certain imaging tasks, the Z-smart method can yield image quality that is significantly superior to that achievable with most other reconstruction algorithms for the full-scan circular trajectory. In particular, when imaging objects that have strong but localized heterogeneities in the axial direction, the Z-smart method can outperform both, the popular filtered-backprojection approach of Feldkamp et al., and also ART, i.e. a fully 3D iterative reconstruction method. We provide a numerical evaluation of our algorithm using simulated CB data of an analytically defined tube phantom, with and without added noise. © 2007 IEEE.},
author = {Dennerlein, Frank and Noo, Frédéric and Härer, Wolfgang and Hornegger, Joachim and Lauritsch, Günter},
booktitle = {2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC},
doi = {10.1109/NSSMIC.2007.4437024},
faupublication = {yes},
pages = {4090-4096},
peerreviewed = {unknown},
title = {{Constriction} of cone-beam artifacts by the {Z}-smart reconstruction method},
venue = {Honolulu, HI},
volume = {6},
year = {2007}
}
@article{faucris.208854185,
author = {Bernecker, David and Riess, Christian and Angelopoulou, Elli and Hornegger, Joachim},
doi = {10.1016/j.solener.2014.09.005},
faupublication = {yes},
journal = {Solar Energy},
pages = {303-315},
peerreviewed = {Yes},
title = {{Continuous} {Short}-term {Irradiance} {Forecasts} using {Sky} {Images}},
volume = {110},
year = {2014}
}
@article{faucris.121545864,
abstract = {For augmented fluoroscopy during cardiac ablation, a preoperatively acquired 3D model of a patient's left atrium (LA) can be registered to X-ray images recorded during a contrast agent (CA) injection. An automatic registration method that works also for small amounts of CA is desired. We propose two similarity measures: The first focuses on edges of the patient anatomy. The second computes a contrast agent distribution estimate (CADE) inside the 3D model and rates its consistency with the CA as seen in biplane fluoroscopic images. Moreover, temporal filtering on the obtained registration results of a sequence is applied using a Markov chain framework. Evaluation was performed on 11 well-contrasted clinical angiographic sequences and 10 additional sequences with less CA. For well-contrasted sequences, the error for all 73 frames was 7.9 ± 6.3 mm and it dropped to 4.6 ± 4.0 mm when registering to an automatically selected, well enhanced frame in each sequence. Temporal filtering reduced the error for all frames from 7.9 ± 6.3 mm to 5.7 ± 4.6 mm. The error was typically higher if less CA was used. A combination of both similarity measures outperforms a previously proposed similarity measure. The mean accuracy for well contrasted sequences is in the range of other proposed manual registration methods.},
author = {Hoffmann, Matthias and Kowalewski, Christopher and Maier, Andreas and Kurzidim, Klaus and Strobel, Norbert and Hornegger, Joachim},
doi = {10.1155/2016/7690391},
faupublication = {yes},
journal = {International Journal of Biomedical Imaging},
peerreviewed = {unknown},
title = {{Contrast}-based {3D}/{2D} registration of the left atrium: {Fast} versus consistent},
volume = {2016},
year = {2016}
}
@article{faucris.203670598,
author = {Hoffmann, Matthias and Kowalewski, Christopher and Maier, Andreas and Kurzidim, Klaus and Strobel, Norbert and Hornegger, Joachim},
doi = {10.1155/2016/7690391},
faupublication = {yes},
journal = {International Journal of Biomedical Imaging},
note = {UnivIS-Import:2018-09-05:Pub.2016.tech.IMMD.IMMD5.contra{\_}0},
pages = {1-15},
peerreviewed = {unknown},
title = {{Contrast}-based 3-{D}/2-{D} {Registration} of the {Left} {Atrium}: {Fast} vs. {Consistent}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Hoffmann16-C3R.pdf},
volume = {2016},
year = {2016}
}
@inproceedings{faucris.121853204,
author = {Hoffmann, Matthias and Strobel, Norbert and Hornegger, Joachim and Maier, Andreas},
booktitle = {Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
faupublication = {yes},
note = {UnivIS-Import:2016-06-01:Pub.2016.tech.IMMD.IMMD5.contra},
pages = {n/a},
peerreviewed = {unknown},
title = {{Contrast}-{Based} {Registration} {Of} {Left} {Atria} {To} {Fluoroscopic} {Image} {Sequences} {By} {Temporal} {Markow} {Filtering} {And} {Motion} {Regularization}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Hoffmann16-CRO.pdf},
venue = {Prague},
year = {2016}
}
@inproceedings{faucris.120335204,
address = {Braunschweig und Berlin},
author = {Höller, Kurt Emmerich and Schaller, Christian and Tacke, Dominik and Höpfl, Florian and Hornegger, Joachim},
booktitle = {Innovationen bei der Erfassung und Analyse bioelektrischer und biomagnetischer Signale},
date = {2008-07-16/2008-07-18},
editor = {Deutsche Gesellschaft für Biomedizinische Technik},
faupublication = {yes},
pages = {180-183},
publisher = {Physikalisch-Technische Bundesanstalt},
title = {{Contributions} of {Time}-of-{Flight} cameras for biomedical applications},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Hoeller08-COT.pdf},
venue = {Potsdam},
year = {2008}
}
@inproceedings{faucris.113149784,
address = {Berlin Heidelberg},
author = {Bier, Bastian and Schwemmer, Chris and Maier, Andreas and Hofmann, Hannes and Xia, Yan and Hornegger, Joachim and Struffert, Tobias},
booktitle = {Bildverarbeitung für die Medizin 2013},
date = {2013-03-03/2013-03-05},
doi = {10.1007/978-3-642-36480-8{\_}59},
editor = {Meinzer Hans-Peter, Deserno Thomas Martin, Handels Heinz, Tolxdorff Thomas},
faupublication = {yes},
pages = {338-343},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Convolution}-{Based} {Truncation} {Correction} for {C}-{Arm} {CT} {Using} {Scattered} {Radiation}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Bier13-CTC.pdf},
venue = {Heidelberg},
year = {2013}
}
@article{faucris.114469344,
author = {Taubmann, Oliver and Maier, Andreas and Hornegger, Joachim and Lauritsch, Günter and Fahrig, Rebecca},
doi = {10.1118/1.4939878},
faupublication = {yes},
journal = {Medical Physics},
keywords = {Artifact Reduction; Motion-Compensated Reconstruction; 4-D Imaging; Cardiac C-arm CT},
note = {UnivIS-Import:2016-02-10:Pub.2016.tech.IMMD.IMMD5.coping},
pages = {883-893},
peerreviewed = {Yes},
title = {{Coping} with {Real} {World} {Data}: {Artifact} {Reduction} and {Denoising} for {Motion}-{Compensated} {Cardiac} {C}-arm {CT}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Taubmann16-CWR.pdf},
volume = {43},
year = {2016}
}
@article{faucris.113992164,
abstract = {With default settings, measurements are taken at 1 mm intervals along the vessel centreline and from 10 different angles at each measurement point. This allows for outlier detection and noise-robust measurements without the burden and subjectivity a manual measurement process would incur. Graphical measurement results can be directly exported to vector or bitmap graphics for integration into scientific publications. Centreline and lumen segmentations can be exported as point clouds and in various mesh formats. We evaluated the diameter measurement process using three phantom datasets. An average deviation of 0.03 +/- 0.03 mm was found.},
author = {Schwemmer, Chris and Forman, Christoph and Wetzl, Jens and Maier, Andreas and Hornegger, Joachim},
doi = {10.1088/0031-9155/59/17/5163},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
keywords = {medical imaging;coronary vessels;evaluation;software},
note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.coroev},
pages = {5163-5174},
peerreviewed = {Yes},
title = {{CoroEval}: a multi-platform, multi-modality tool for the evaluation of {3D} coronary vessel reconstructions},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Schwemmer14-CA.pdf},
volume = {59},
year = {2014}
}
@inproceedings{faucris.108089784,
author = {Bourier, Felix and Brost, Alexander and Yatziv, Liron and Hornegger, Joachim and Strobel, Norbert and Kurzidim, Klaus},
booktitle = {8th Interventional MRI Symposium - Book of Abstracts},
date = {2010-09-24/2010-09-25},
editor = {Kahn Thomas, Jolesz Ferenc A., Lewin Jonathan S.},
faupublication = {yes},
pages = {311-313},
peerreviewed = {unknown},
title = {{Coronary} {Sinus} {Extraction} for {Multimodality} {Registration} to guide {Transseptal} {Puncture}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Bourier10-CSE.pdf},
venue = {Leipzig},
year = {2010}
}
@inproceedings{faucris.108065364,
address = {Moscow},
author = {Jäger, Florian and Balda, Michael and Hornegger, Joachim},
booktitle = {Proceedings of the 4th Russian-Bavarian Conference on Biomedical Engineering at Moscow Institute of Electronic Technology},
date = {2008-07-08/2008-07-09},
editor = {Bauernschmitt Robert, Chaplygin Yuri, Feußner Hubertus, Gulyaev Yuri, Hornegger Joachim, Mayr Ernst, Navab Nassir, Schookin Sergey, Selishchev Sergey, Umnyashkin Sergei},
faupublication = {yes},
pages = {23-27},
peerreviewed = {unknown},
publisher = {MIET},
title = {{Correction} of {Intensity} {Inhomogeneities} {Utilizing} {Histogram}-based {Regularization}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Jaeger08-COI.pdf},
venue = {Moscow},
year = {2008}
}
@article{faucris.120205404,
abstract = {Technical progress has engendered a broad spectrum of methods to image cardiac structure, function, and metabolism. Frequently, the imaging tools available provide complementary information. Therefore, methods to integrate image information from different modalities into one common coordinate system are increasingly receiving attention also in cardiology. Currently available technology includes software-based image fusion as well as hardware-based registration of datasets. The latter capitalizes on so-called hybrid cameras combining detectors of different modalities in one gantry. Hardware-based image fusion is, to date, anatomically more accurate than the software-based methodology. However, the anatomic accuracy of both approaches is still far from perfect. This is, in particular, due to artifacts caused by respiratory movements also affecting the heart. The clinical potential of correlative imaging of the heart includes an improvement of accuracy in diagnosing hemodynamically significant coronary artery disease using single-photon emission computed tomography (SPECT). This is due to the possibility to correct myocardial scintigraphy for attenuation artifacts using registered X-ray computerized tomographic (CT) images. The visualization of coronary anatomy and myocardial perfusion in one imaging session using hybrid systems combining CT with positron emission tomography (PET) or SPECT is also an interesting option. Nevertheless, larger clinical trials investigating its usefulness are still missing. The possibility to match structure with radioactivity concentration is essential for approaches to image the molecular composition of atherosclerotic plaques and their stability. © 2007 Urban & Vogel München.},
author = {Kuwert, Torsten and Römer, Wolfgang and Hornegger, Joachim},
doi = {10.1007/s00059-007-2959-2},
faupublication = {yes},
journal = {Herz},
pages = {122-128},
peerreviewed = {Yes},
title = {{Correlative} imaging in cardiology. {Principles} and clinical application},
volume = {32},
year = {2007}
}
@book{faucris.121184844,
abstract = {Congenital heart defect is the primary cause of death in newborns, due to typically complex malformation of the cardiac system. The pulmonary valve and trunk are often affected and require complex clinical management and in most cases surgical or interventional treatment. While minimal invasive methods are emerging, non-invasive imaging-based assessment tools become crucial components in the clinical setting. For advanced evaluation and therapy planning purposes, cardiac Computed Tomography (CT) and cardiac Magnetic Resonance Imaging (cMRI) are important non-invasive investigation techniques with complementary properties. Although, characterized by high temporal resolution, cMRI does not cover the full motion of the pulmonary trunk. The sparse cMRI data acquired in this context include only one 3D scan of the heart in the end-diastolic phase and two 2D planes (long and short axes) over the whole cardiac cycle. In this paper we present a cross-modality framework for the evaluation of the pulmonary trunk, which combines the advantages of both, cardiac CT and cMRI. A patient-specific model is estimated from both modalities using hierarchical learning-based techniques. The pulmonary trunk model is exploited within a novel dynamic regression-based reconstruction to infer the incomplete cMRI temporal information. Extensive experiments performed on 72 cardiac CT and 74 cMRI sequences demonstrated the average speed of 110 seconds and accuracy of 1.4mm for the proposed approach. To the best of our knowledge this is the first dynamic model of the pulmonary trunk and right ventricle outflow track estimated from sparse 4D cMRI data. © 2010 Springer-Verlag.},
address = {Heidelberg},
author = {Vitanovski, Dime and Tsymbal, Alexey and Ionasec, Razvan and Georgescu, Bogdan and Huber, Martin and Taylor, Andrew and Schievano, Silvia and Zhou, Shaohua K. and Hornegger, Joachim and Comaniciu, Dorin},
doi = {10.1007/978-3-642-15705-9{\_}56},
faupublication = {yes},
isbn = {978-3-642-15704-2},
note = {UnivIS-Import:2015-04-16:Pub.2010.tech.IMMD.IMMD5.crossm},
pages = {460-467},
peerreviewed = {Yes},
publisher = {Springer-verlag},
series = {Lecture Notes in Computer Science},
title = {{Cross}-modality assessment and planning for pulmonary trunk treatment using {CT} and {MRI} imaging},
volume = {null},
year = {2010}
}
@inproceedings{faucris.121340384,
author = {Kurzendorfer, Tanja and Brost, Alexander and Jakob, Carolin and Mewes, Philip and Bourier, Felix and Koch, Martin and Kurzidim, Klaus and Hornegger, Joachim and Strobel, Norbert},
booktitle = {SPIE Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling},
date = {2013-02-09},
editor = {David R. Holmes, Ziv R. Yaniv},
faupublication = {yes},
pages = {86710C},
title = {{Cryo}-balloon catheter localization in fluoroscopic images},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Kurzendorfer13-CBC.pdf},
venue = {Lake Buena Vista, Florida},
year = {2013}
}
@inproceedings{faucris.121160864,
abstract = {Atrial fibrillation (AFib) is the most common heart arrhythmia. In certain situations, it can result in life-threatening complications such as stroke and heart failure. For paroxsysmal AFib, pulmonary vein isolation (PVI) by catheter ablation is the recommended choice of treatment if drug therapy fails. During minimally invasive procedures, electrically active tissue around the pulmonary veins is destroyed by either applying heat or cryothermal energy to the tissue. The procedure is usually performed in electrophysiology labs under fluoroscopic guidance. Besides radio-frequency catheter ablation devices, so-called single-shot devices, e.g., the cryothermal balloon catheters, are receiving more and more interest in the electrophysiology (EP) community. Single-shot devices may be advantageous for certain cases, since they can simplify the creation of contiguous (gapless) lesion sets around the pulmonary vein which is needed to achieve PVI. In many cases, a 3-D (CT, MRI, or C-arm CT) image of a patient's left atrium is available. This data can then be used for planning purposes and for supporting catheter navigation during the procedure. Cryo-thermal balloon catheters are commercially available in two different sizes. We propose the Atrial Fibrillation Planning Tool (AFiT), which visualizes the segmented left atrium as well as multiple cryo-balloon catheters within a virtual reality, to find out how well cryo-balloons fit to the anatomy of a patient's left atrium. First evaluations have shown that AFiT helps physicians in two ways. First, they can better assess whether cryoballoon ablation or RF ablation is the treatment of choice at all. Second, they can select the proper-size cryo-balloon catheter with more confidence. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).},
author = {Brost, Alexander and Kleinoeder, Andreas and Brost, Alexander and Bourier, Felix and Koch, Martin and Kurzidim, Klaus and Hornegger, Joachim and Strobel, Norbert},
booktitle = {Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling},
doi = {10.1117/12.911303},
faupublication = {yes},
peerreviewed = {unknown},
title = {{Cryo}-balloon catheter position planning using {AFiT}},
venue = {San Diego, CA},
volume = {8316},
year = {2012}
}
@inproceedings{faucris.121379104,
address = {Berlin / Heidelberg},
author = {Kurzendorfer, Tanja and Brost, Alexander and Bourier, Felix and Koch, Martin and Kurzidim, Klaus and Hornegger, Joachim and Strobel, Norbert},
booktitle = {Bildverarbeitung für die Medizin 2012},
date = {2012-03-18/2012-03-20},
doi = {10.1007/978-3-642-28502-8{\_}67},
editor = {Tolxdorff Thomas, Deserno Thomas Martin, Handels Heinz, Meinzer Hans-Peter},
faupublication = {yes},
pages = {386-391},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Cryo}-{Balloon} {Catheter} {Tracking} in {Atrial} {Fibrillation} {Ablation} {Procedures}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Kurzendorfer12-CCT.pdf},
venue = {Berlin},
year = {2012}
}
@inproceedings{faucris.120187144,
abstract = {Atrial fibrillation is a major cause of stroke. Its treatment is performed under fluoroscopic image guidance. Augmented fluoroscopy has become a useful tool during the ablation procedure for navigation under X-ray. Unfortunately, current navigation systems do not provide tools to localize and visualize a cryo-balloon catheters in 3-D. This is why we present a new approach to reconstruct the cryo-ballon catheter, modeled as a sphere, from two views. The reconstruction result can then be overlayed onto live fluoroscopic images during the procedure. In simulation studies, we compared our technique to a reference method. While both methods worked equally well on noise-free data, we found our method more reliable if the input data was affected by noise. For example, in the presence of noise with a standard deviation of 4 mm, our maximum 3-D reconstruction error was less than 1 mm. © 2011 IEEE.},
author = {Kleinöder, Andreas and Brost, Alexander and Bourier, Felix and Koch, Martin and Kurzidim, Klaus and Hornegger, Joachim and Strobel, Norbert},
booktitle = {2011 18th IEEE International Conference on Image Processing, ICIP 2011},
doi = {10.1109/ICIP.2011.6116724},
faupublication = {yes},
pages = {973-976},
peerreviewed = {unknown},
title = {{Cryo}-balloon reconstruction from two views},
venue = {Brussels},
volume = {null},
year = {2011}
}
@inproceedings{faucris.107992324,
address = {Stuttgart},
author = {Lell, Michael and Hornegger, Joachim and Scherl, Holger and Prümmer, Marcus and Anders, Katharina and Baum, Ulrich and Bautz, Werner},
booktitle = {RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren},
date = {2005-05-04/2005-05-07},
doi = {10.1055/s-2005-868247},
editor = {Wolf Karl-Jürgen},
faupublication = {yes},
pages = {PO{\_}139},
peerreviewed = {unknown},
publisher = {Georg Thieme Verlag KG},
title = {{CTA}: {Semiautomatische} {Quantifizierung} von {Karotisstenosen}},
venue = {Berlin},
year = {2005}
}
@incollection{faucris.107712044,
address = {Alphen aan den Rijn, Netherlands},
author = {Hornegger, Joachim and Maier, Andreas and Kowarschik, Markus},
booktitle = {MR and CT Perfusion and Pharmacokinetic Imaging: Clinical Applications and Theoretical Principles},
edition = {1},
faupublication = {yes},
isbn = {9781451147155},
keywords = {CT Reconstruction; Introduction},
note = {UnivIS-Import:2017-01-09:Pub.2016.tech.IMMD.IMMD5.ctimag},
pages = {C05/01-09},
peerreviewed = {unknown},
publisher = {Wolters Kluwer},
title = {{CT} {Image} {Reconstruction} {Basics}},
url = {https://www5.cs.fau.de/fileadmin/persons/MaierAndreas/maier/Hornegger16-CRB.pdf},
year = {2016}
}
@inproceedings{faucris.121339284,
author = {Hahn, Dieter and Daum, Volker and Hornegger, Joachim and Kuwert, Torsten},
booktitle = {Proceedings of the MICCAI Workshop on Probabilistic Models For Medical Image Analysis},
date = {2009-09-20},
editor = {Wells William, Joshi Sarang, Pohl Kilian},
faupublication = {yes},
pages = {115-126},
peerreviewed = {unknown},
title = {{Data}-{Driven} {Density} {Estimation} applied to {SPECT} {Subtraction} {Imaging} for {Epilepsy} {Diagnosis}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Hahn09-DDE.pdf},
venue = {London},
year = {2009}
}
@article{faucris.121148764,
author = {Fieselmann, Andreas and Kowarschik, Markus and Ganguly, Arundhuti and Hornegger, Joachim and Fahrig, Rebecca},
doi = {10.1155/2011/467563},
faupublication = {yes},
journal = {International Journal of Biomedical Imaging},
peerreviewed = {unknown},
title = {{Deconvolution}-{Based} {CT} and {MR} {Brain} {Perfusion} {Measurement}: {Theoretical} {Model} {Revisited} and {Practical} {Implementation} {Details}},
year = {2011}
}
@article{faucris.117698944,
abstract = {Flat detector CT perfusion (FD-CTP) is a novel technique using C-arm angiography systems for interventional dynamic tissue perfusion measurement with high potential benefits for catheter-guided treatment of stroke. However, FD-CTP is challenging since C-arms rotate slower than conventional CT systems. Furthermore, noise and artefacts affect the measurement of contrast agent flow in tissue. Recent robotic C-arms are able to use high speed protocols (HSP), which allow sampling of the contrast agent flow with improved temporal resolution. However, low angular sampling of projection images leads to streak artefacts, which are translated to the perfusion maps. We recently introduced the FDK-JBF denoising technique based on Feldkamp (FDK) reconstruction followed by joint bilateral filtering (JBF). As this edge-preserving noise reduction preserves streak artefacts, an empirical streak reduction (SR) technique is presented in this work. The SR method exploits spatial and temporal information in the form of total variation and time-curve analysis to detect and remove streaks. The novel approach is evaluated in a numerical brain phantom and a patient study. An improved noise and artefact reduction compared to existing post-processing methods and faster computation speed compared to an algebraic reconstruction method are achieved. © 2014 Institute of Physics and Engineering in Medicine.},
author = {Manhart, Michael and Aichert, André and Struffert, Tobias and Deuerling-Zheng, Yu and Kowarschik, Markus and Maier, Andreas and Hornegger, Joachim and Dörfler, Arnd},
doi = {10.1088/0031-9155/59/16/4505},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
keywords = {3D reconstruction; flat detector CT; noise reduction; perfusion imaging; stroke treatment},
note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.denois{\_}8},
pages = {4505-4524},
peerreviewed = {Yes},
title = {{Denoising} and artefact reduction in dynamic flat detector {CT} perfusion imaging using high speed acquisition: first experimental and clinical results},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Manhart14-DAA.pdf},
volume = {59},
year = {2014}
}
@inproceedings{faucris.118690264,
abstract = {In interventional radiology, pre-operative three dimensional (3-D) images (e.g. CT and MRI) can be fused to the real-time 2-D fluoroscopic images, known as 2-D/3-D image fusion or overlay. 2-D/3-D registration is usually performed at the beginning to ensure an accurate overlay. However, the misalignment caused by patient motion has to be corrected during the procedure. In this paper, we propose an adapted template-based tracking approach that fits well into the novel depth-layer-based framework, where 3-D motion can be estimated by depth-aware tracking in 2-D X-ray images. Templates are generated according to the 2-D/3-D matching procedure, where the 2-D features are matched with the depth layer images generated from the 3-D volume. Our template update strategy takes both initial and current frame into account, which effectively enhances the accuracy of the template tracking. Two strategies are applied to enhance robustness against external disturbances: template lock and motion estimation feedback. The experiment results show that our new approach is capable of estimating 3-D motion and much more robust against external disturbances compared to the Kanade-Lucas-Tomasi tracker that is previously used in the depth-layer-based framework. © 2013 IEEE.},
author = {Wang, Jian and Borsdorf, Anja and Endres, Jürgen and Hornegger, Joachim},
booktitle = {2013 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)},
date = {2013-10-27/2013-11-02},
doi = {10.1109/NSSMIC.2013.6829056},
faupublication = {yes},
keywords = {2D/3D image fusion; depth-aware tracking; motion compensation; template tracking},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD5.deptha{\_}0},
title = {{Depth}-{Aware} {Template} {Tracking} for {Robust} {Patient} {Motion} {Compensation} for {Interventional} 2-{D}/3-{D} {Image} {Fusion}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Wang13-DTT.pdf},
venue = {Seoul, South Korea},
year = {2013}
}
@article{faucris.106689924,
abstract = {Polarization sensitive optical coherence tomography (PS-OCT) is a functional extension of conventional OCT and can assess depth-resolved tissue birefringence in addition to intensity. Most existing PS-OCT systems are relatively complex and their clinical translation remains difficult. We present a simple and robust all-fiber PS-OCT system based on swept source technology and polarization depth-encoding. Polarization multiplexing was achieved using a polarization maintaining fiber. Polarization sensitive signals were detected using fiber based polarization beam splitters and polarization controllers were used to remove the polarization ambiguity. A simplified post-processing algorithm was proposed for speckle noise reduction relaxing the demand for phase stability. We demonstrated systems design for both ophthalmic and catheter-based PS-OCT. For ophthalmic imaging, we used an optical clock frequency doubling method to extend the imaging range of a commercially available short cavity light source to improve polarization depth-encoding. For catheter based imaging, we demonstrated 200 kHz PS-OCT imaging using a MEMS-tunable vertical cavity surface emitting laser (VCSEL) and a high speed micromotor imaging catheter. The system was demonstrated in human retina, finger and lip imaging, as well as ex vivo swine esophagus and cardiovascular imaging. The all-fiber PS-OCT is easier to implement and maintain compared to previous PS-OCT systems and can be more easily translated to clinical applications due to its robust design. (C) 2014 Optical Society of America},
author = {Wang, Zhao and Lee, Hsiang-Chieh and Ahsen, Osman Oguz and Lee, Byungkun and Choi, Woojhon and Potsaid, Benjamin and Liu, Jonathan and Jayaraman, Vijaysekhar and Cable, Alex and Kraus, Martin and Liang, Kaicheng and Hornegger, Joachim and Fujimoto, James G.},
doi = {10.1364/BOE.5.002931},
faupublication = {yes},
journal = {Biomedical Optics Express},
pages = {2931-2949},
peerreviewed = {Yes},
title = {{Depth}-encoded all-fiber swept source polarization sensitive {OCT}},
volume = {5},
year = {2014}
}
@inproceedings{faucris.107980224,
author = {Wang, Jian and Borsdorf, Anja and Hornegger, Joachim},
editor = {Meinzer Hans-Peter, Deserno Thomas Martin},
faupublication = {yes},
pages = {128-133},
title = {{Depth}-{Layer} {Based} {Patient} {Motion} {Compensation} for the {Overlay} of {3D} {Volumes} onto {X}-{Ray} {Sequences}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Wang13-DBP.pdf},
year = {2013}
}
@article{faucris.122454684,
abstract = {Purpose: During a standard fracture reduction and fixation procedure of the distal radius, only fluoroscopic images are available for planning of the screw placement and monitoring of the drill bit trajectory. Our prototype intra-operative framework integrates planning and drill guidance for a simplified and improved planning transfer. Methods: Guidance information is extracted using a video camera mounted onto a surgical drill. Real-time feedback of the drill bit position is provided using an augmented view of the planning X-rays. We evaluate the accuracy of the placed screws on plastic bones and on healthy and fractured forearm specimens. We also investigate the difference in accuracy between guided screw placement versus freehand. Moreover, the accuracy of the real-time position feedback of the drill bit is evaluated. Results: A total of 166 screws were placed. On 37 plastic bones, our obtained accuracy was 1.01±0.56 mm, 3.74∘±4.39∘ and 1.70∘±1.35∘ in tip position and orientation (azimuth and elevation), respectively. On the three healthy forearm specimens, our obtained accuracy was 1.63 ± 0.91 mm, 5. 85 ± 4. 93 and 3. 48 ± 3. 07 . On the two fractured specimens, we attained: 1.39 ± 0.47 mm, 2. 93 ± 1. 83 and 2. 14 ± 1. 84 . When screw plans were applied freehand (without our guidance system), the achieved accuracy was 1.73 ± 0.82 mm, 6.01∘±4.94∘and3.52∘±2.48∘, while when they were transferred under guidance, we obtained 0.89 ± 0.37 mm, 2.85∘±2.57∘and1.49∘±1.17∘. Conclusions: Our results show that our framework is expected to increase the accuracy in screw positioning and to improve robustness w.r.t. freehand placement.},
author = {Magaraggia, Jessica and Wei, Wei and Weiten, Markus and Kleinszig, Gerhard and Vetter, Sven and Franke, Jochen and John, Adrian and Egli, Adrian and Barth, Karl and Angelopoulou, Elli and Hornegger, Joachim},
doi = {10.1007/s11548-016-1432-1},
faupublication = {yes},
journal = {International Journal of Computer Assisted Radiology and Surgery},
keywords = {Intra-operative guidance; Intra-operative planning; Orthopedic surgery; Trauma surgery},
pages = {77-90},
peerreviewed = {Yes},
title = {{Design} and evaluation of a portable intra-operative unified-planning-and-guidance framework applied to distal radius fracture surgery},
volume = {12},
year = {2017}
}
@inproceedings{faucris.120199464,
abstract = {The design and implementation of the reconstruction system in medical X-ray imaging is a challenging issue due to its immense computational demands. In order to ensure an efficient clinical workflow it is inevitable to meet high performance requirements. Hence, the usage of hardware acceleration is mandatory. The software architecture of the reconstruction system is required to be modular in a sense that different accelerator hardware platforms are supported and it must be possible to implement different parts of the algorithm using different acceleration architectures and techniques. This paper introduces and discusses the design of a software architecture for an image reconstruction system that meets the aforementioned requirements. We implemented a multi-threaded software framework that combines two software design patterns: the pipeline and the master/worker pattern. This enables us to take advantage of the parallelism in off-the-shelf accelerator hardware such as multi-core systems, the Cell processor, and graphics accelerators in a very flexible and reusable way. Copyright 2008 ACM.},
author = {Scherl, Holger and Hoppe, Stefan and Hornegger, Joachim and Kowarschik, Markus},
booktitle = {30th International Conference on Software Engineering 2008, ICSE'08},
doi = {10.1145/1368088.1368181},
faupublication = {yes},
pages = {661-668},
peerreviewed = {unknown},
publisher = {IEEE},
title = {{Design} and implementation of the software architecture for a 3-{D} reconstruction system in medical imaging},
venue = {Leipzig},
volume = {null},
year = {2008}
}
@inproceedings{faucris.111437524,
abstract = {We present a portable multiphoton system designed for evaluating centimeter-scale surgical margins on surgical breast specimens in a clinical setting. The system is designed to produce large field of view images at a high frame rate, while using GPU processing to render low latency, video-rate virtual H&E images for real-time assessment. The imaging system and virtual H&E rendering algorithm are demonstrated by imaging unfixed human breast tissue in a clinical setting.
3 volume can be sampled in less than one second with an error below 0.1 mm. Furthermore, we accelerate the interpolation of a 2563 dense deformation field to only 6.5 minutes using the proposed methods from days with previous methods.},
address = {Berlin},
author = {Maier, Andreas and Taubmann, Oliver and Wetzl, Jens and Wasza, Jakob and Forman, Christoph and Fischer, Peter and Hornegger, Joachim and Fahrig, Rebecca},
booktitle = {Bildverarbeitung für die Medizin 2014},
date = {2014-03-16/2014-03-18},
doi = {10.1007/978-3-642-54111-7{\_}34},
edition = {1},
faupublication = {yes},
isbn = {978-3-642-54110-0},
keywords = {interpolation, motion field, phantom},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.fastin{\_}7},
pages = {168-173},
publisher = {Springer},
title = {{Fast} {Interpolation} of {Dense} {Motion} {Fields} from {Synthetic} {Phantoms}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Maier14-FIO.pdf},
venue = {Aachen},
year = {2014}
}
@inproceedings{faucris.121152284,
abstract = {In computed tomography (CT), the nonlinear characteristics of beam hardening are due to the polychromaticity of X-rays, which severely degrade the CT image quality and diagnostic accuracy. The correction of beam hardening has been an active area since the early years of CT, and various techniques have been developed. State of- the-art works on multi-material beam hardening correction (BHC) are mainly based on segmenting datasets into different materials, and correcting the non-linearity iteratively. Those techniques are limited in correction effectiveness due to inaccurate segmentation. Furthermore, most of them are computationally intensive. In this study, we introduce a fast BHC scheme based on frequency splitting with the fact that beam hardening artifacts mainly contain in the low frequency components and take more iterations to be corrected in comparison with high frequency components. After low-pass filtering and correcting artifacts at down-sampled projections, an artifact reduced high resolution reconstruction will be obtained by incorporating the original edge information from the high frequency components. Evaluations in terms of correction accuracy and computational eficiency are performed using simulated and real CT datasets. In comparison to the BHC algorithm without frequency splitting, the proposed accelerated algorithm yields comparable results in correcting cupping and streak artifacts with tremendously reduced computational effort. We conclude that the presented framework can achieve a significant speedup while still obtaining excellent artifact reduction. This is a significant practical advantage for clinical as well as industrial CT. © 2013 SPIE.},
author = {Yang, Qiao and Elter, Matthias and Schasiepen, Ingo and Maass, Nicole and Hornegger, Joachim},
booktitle = {Medical Imaging 2013: Physics of Medical Imaging},
doi = {10.1117/12.2007808},
faupublication = {yes},
pages = {-},
title = {{Fast} iterative beam hardening correction based on frequency splitting in computed tomography},
venue = {Lake Buena Vista, FL},
volume = {8668},
year = {2013}
}
@article{faucris.121156244,
abstract = {Many scientists in the field of x-ray imaging rely on the simulation of x-ray images. As the phantom models become more and more realistic, their projection requires high computational effort. Since x-ray images are based on transmission, many standard graphics acceleration algorithms cannot be applied to this task. However, if adapted properly, the simulation speed can be increased dramatically using state-of-the-art graphics hardware. A custom graphics pipeline that simulates transmission projections for tomographic reconstruction was implemented based on moving spline surface models. All steps from tessellation of the splines, projection onto the detector and drawing are implemented in OpenCL. We introduced a special append buffer for increased performance in order to store the intersections with the scene for every ray. Intersections are then sorted and resolved to materials. Lastly, an absorption model is evaluated to yield an absorption value for each projection pixel. Projection of a moving spline structure is fast and accurate. Projections of size 640×480 can be generated within 254ms. Reconstructions using the projections show errors below 1 HU with a sharp reconstruction kernel. Traditional GPU-based acceleration schemes are not suitable for our reconstruction task. Even in the absence of noise, they result in errors up to 9HU on average, although projection images appear to be correct under visual examination. Projections generated with our new method are suitable for the validation of novel CT reconstruction algorithms. For complex simulations, such as the evaluation of motion-compensated reconstruction algorithms, this kind of x-ray simulation will reduce the computation time dramatically. © 2012 Institute of Physics and Engineering in Medicine.},
author = {Maier, Andreas and Hofmann, Hannes and Schwemmer, Chris and Hornegger, Joachim and Keil, Andreas and Fahrig, Rebecca},
doi = {10.1088/0031-9155/57/19/6193},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
pages = {6193-6210},
peerreviewed = {Yes},
title = {{Fast} simulation of x-ray projections of spline-based surfaces using an append buffer},
volume = {57},
year = {2012}
}
@inproceedings{faucris.120186264,
abstract = {For emergency cases in the interventional room, 3D long-object cone-beam(CB) imaging using a C-arm system could save valuable time and reduce risks to the patient by avoiding the traditionally-used CT scan, and thus could potentially be a crucial tool for patient health. To accomplish such a task, the reverse helix is an attractive trajectory, however theoretically-exact and stable (TES) reconstruction with a reverse helix is challenging. Two TES solutions are available, but both of them come with a heavy computational load and some issues in terms of image quality. This work proposes three new approximate reconstruction algorithms for the reverse helix that are stable and efficient, and thus practical. Though not exact, reconstruction results obtained from all three methods appear acceptable. © 2011 IEEE.},
author = {Yu, Zhicong and Noo, Frédéric and Dennerlein, Frank and Lauritsch, Günter and Hornegger, Joachim},
booktitle = {2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011},
doi = {10.1109/NSSMIC.2011.6153757},
faupublication = {yes},
pages = {3980-3985},
peerreviewed = {unknown},
title = {{FDK}-type reconstruction algorithms for the reverse helical trajectory},
venue = {Valencia},
volume = {null},
year = {2012}
}
@inproceedings{faucris.106518764,
author = {Wetzl, Jens and Schroeder, Lea and Forman, Christoph and Lugauer, Felix and Rehner, Robert and Fenchel, Matthias and Maier, Andreas and Hornegger, Joachim and Speier, Peter},
booktitle = {Proceedings of the 24th Annual Meeting of the ISMRM (ISMRM 2016)},
faupublication = {yes},
note = {UnivIS-Import:2017-01-09:Pub.2016.tech.IMMD.IMMD5.feasib},
pages = {2613},
peerreviewed = {unknown},
title = {{Feasibility} {Study}: {Free}-{Breathing} 3-{D} {CINE} {Imaging} with {Respiratory} {Gating} {Based} on {Pilot} {Tone} {Navigation}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Wetzl16-FSF.pdf},
venue = {Singapur},
year = {2016}
}
@inproceedings{faucris.107914664,
address = {Erlangen},
author = {Han, Jingfeng and Hornegger, Joachim and Kuwert, Torsten and Bautz, Werner and Römer, Wolfgang},
booktitle = {Frontiers in Simulation},
date = {2005-09-12/2005-09-15},
editor = {Hülsemann Frank, Kowarschik Markus, Rüde Ulrich},
faupublication = {yes},
pages = {638-643},
peerreviewed = {unknown},
publisher = {SCS Publishing House e.V.},
title = {{Feature} {Constrained} {Non}-rigid {Image} {Registration}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Han05-FCN.pdf},
venue = {Erlangen},
year = {2005}
}
@inproceedings{faucris.118344864,
address = {Bonn},
author = {Kugler, Patrick and Jensen, Ulf and Eskofier, Björn and Hornegger, Joachim},
booktitle = {INFORMATIK 2010 Service Science - Neue Perspektiven für die Informatik - Band 1},
faupublication = {yes},
isbn = {978-3-88579-269-7},
keywords = {feedback training; inertial sensors; digital sports},
note = {UnivIS-Import:2015-04-16:Pub.2010.tech.IMMD.IMMD5.feedba},
pages = {3-8},
peerreviewed = {unknown},
publisher = {Köllen Druck+Verlag},
series = {GI-Edition - Lecture Notes in Informatics (LNI)},
title = {{Feedback}-{Training} mit tragbaren {Sensor}-{Netzwerken}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Kugler10-FMT.pdf},
venue = {Leipzig},
volume = {P-157},
year = {2010}
}
@inproceedings{faucris.120193524,
author = {Kugler, Patrick and Jensen, Ulf and Eskofier, Björn and Hornegger, Joachim},
booktitle = {40th Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Service Science - Neue Perspektiven fur die Informatik, INFORMATIK 2010},
faupublication = {yes},
pages = {3-8},
peerreviewed = {unknown},
title = {{Feedback} training with portable sensor networks},
url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-84877351788&origin=inward},
venue = {Leipzig},
volume = {1},
year = {2010}
}
@inproceedings{faucris.121178464,
abstract = {Atrial fibrillation is the most common heart arrhythmia and a leading cause of stroke. The treatment option of choice is radio-frequency catheter ablation, which is performed in electrophysiology labs using C-Arm X-ray systems for navigation and guidance. The goal is to electrically isolate the pulmonary vein-left atrial junction thereby rendering myocardial fibers responsible for induction and maintenance of AF inactive. The use of overlay images for fluoroscopic guidance may improve the quality of the ablation procedure, and can reduce procedure time. Overlay images, acquired using CT, MRI, or C-arm CT, can add soft-tissue information, otherwise not visible under X-ray. MRI can be used to image a wide variety of anatomical details without ionizing radiation. In this paper, we present a method to register a 3-D MRI volume to 2-D biplane X-ray images using the coronary sinus. Current approaches require registration of the overlay images to the fluoroscopic images to be performed after the trans-septal puncture, when contast agent can be administered. We present a new approach for registration to align overlay images before the trans-septal puncture. To this end, we manually extract the coronary sinus from pre-operative MRI and register it to a multi-electorde catheter placed in the coronary sinus. © 2011 SPIE.},
author = {Brost, Alexander and Bourier, Felix and Yatziv, Liron and Koch, Martin and Hornegger, Joachim and Strobel, Norbert and Kurzidim, Klaus},
booktitle = {Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling},
doi = {10.1117/12.877654},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{First} steps towards initial registration for electrophysiology procedures},
venue = {Lake Buena Vista, FL},
volume = {7964},
year = {2011}
}
@article{faucris.120205184,
abstract = {BACKGROUND AND PURPOSE: The purpose of this work was to evaluate angiographic CT (ACT) in the combined application of a self-expanding neurovascular stent and detachable platinum coils in the management of broad-based and fusiform intracranial aneurysms. MATERIALS AND METHODS: Eleven patients harboring wide-necked intracranial aneurysms were treated with a flexible self-expanding neurovascular stent and subsequent aneurysm embolization with platinum microcoils. ACT was performed after the interventional procedure to analyze stent position and the relationship of coils to the stent. Postprocessing included multiplanar reconstructions (MPRs) and maximum intensity projections (MIPs). ACT volume datasets were postprocessed for soft tissue visualization. RESULTS: Accurate stent placement with subsequent coil occlusion of the aneurysms was feasible in all of the patients. Similar to nonsubtracted digital subtraction angiography (DSA) images, radiopaque platinum stent markers showed excellent visibility in ACT as well. The stent struts themselves, hardly visible in nonsubtracted DSA, were visible in MPRs and MIPs of ACT in all of the patients. In aneurysms larger than 10 mm in diameter, accurate stent assessment at the level of the coils was limited due to beam hardening artifacts. Postprocedural ACT in all of the patients did not reveal any evidence of procedure-related intracranial hemorrhage. CONCLUSION: ACT provides cross-sectional, 3D visualization of endovascular stents otherwise hardly visible with plain fluoroscopy. ACT enables us to accurately determine stent position, which may be helpful in complex stent-assisted aneurysm coiling procedures. However, in aneurysms larger than 10 mm in diameter, beam hardening artifacts caused by the endoaneurysmal coil package impair visibility of the stent. Further data are necessary to evaluate the usefulness of ACT in stent-assisted aneurysm coiling.},
author = {Richter, Gregor and Engelhorn, Tobias and Struffert, Tobias and Dölken, Marc and Ganslandt, Oliver and Hornegger, Joachim and Kalender, Willi Alfred and Dörfler, Arnd},
doi = {10.3174/ajnr.A0697},
faupublication = {yes},
journal = {American Journal of Neuroradiology},
pages = {1902-1908},
peerreviewed = {Yes},
title = {{Flat} panel detector angiographic {CT} for stent-assisted coil embolization of broad-based cerebral aneurysms},
volume = {28},
year = {2007}
}
@inproceedings{faucris.108141924,
address = {Berlin},
author = {Jäger, Florian and Hornegger, Joachim and Hahn, Eckhart Georg},
booktitle = {Bildverarbeitung für die Medizin 2005},
date = {2005-03-13/2005-03-15},
editor = {Meinzer Hans-Peter, Handels Heinz, Horsch Alexander, Tolxdorff Thomas},
faupublication = {yes},
pages = {108-112},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Formbasierte} {Segmentierung} des {Bronchialbaumes}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Jaeger05-FSD.pdf},
venue = {Heidelberg},
year = {2005}
}
@inproceedings{faucris.109224764,
author = {Wetzl, Jens and Lugauer, Felix and Schmidt, Michaela and Maier, Andreas and Hornegger, Joachim and Forman, Christoph},
booktitle = {Proceedings of the 24th Annual Meeting of the ISMRM (ISMRM 2016)},
faupublication = {yes},
note = {UnivIS-Import:2017-01-09:Pub.2016.tech.IMMD.IMMD5.freebr},
pages = {411},
peerreviewed = {unknown},
title = {{Free}-{Breathing}, {Self}-{Navigated} {Isotropic} 3-{D} {CINE} {Imaging} of the {Whole} {Heart} {Using} {Cartesian} {Sampling}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Wetzl16-FSI.pdf},
venue = {Singapur},
year = {2016}
}
@inproceedings{faucris.120331684,
address = {Berlin Heidelberg},
author = {Forman, Christoph and Grimm, Robert and Hutter, Jana and Maier, Andreas and Hornegger, Joachim and Zenge, Michael O.},
booktitle = {MICCAI 2013, Part II, LNCS 8150},
date = {2013-09-22/2013-09-26},
editor = {Mori K., Sakuma I., Sato Y., Barillot C., Navab N.},
faupublication = {yes},
pages = {575-582},
publisher = {Springer},
title = {{Free}-{Breathing} {Whole}-{Heart} {Coronary} {MRA}: {Motion} {Compensation} {Integrated} into {3D} {Cartesian} {Compressed} {Sensing} {Reconstruction}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Forman13-FWC.pdf},
venue = {Nagoya, Japan},
year = {2013}
}
@inproceedings{faucris.118275564,
author = {Forman, Christoph and Grimm, Robert and Hutter, Jana and Wasza, Jakob and Kraus, Martin and Hornegger, Joachim and Zenge, Michael O.},
booktitle = {Proceedings of the 21st Annual Meeting of ISMRM},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD5.freebr{\_}2},
pages = {4528},
title = {{Free}-{Breathing} {Whole}-{Heart} {Coronary} {MRI}: {An} {Image}-{Based} {Motion} {Compensation} {Integrated} {Into} {Compressed}-{Sensing} {Reconstruction}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Forman13-FWC.pdf},
venue = {Salt Lake City, UT, USA},
year = {2013}
}
@inproceedings{faucris.108132904,
author = {Yu, Zhicong and Maier, Andreas and Schönborn, Manfred and Vogt, Florian and Köhler, Christoph and Lauritsch, Günter and Hornegger, Joachim and Noo, Frédéric},
booktitle = {Proceedings of The second international conference on image formation in x-ray computed tomography},
date = {2012-06-24/2012-06-27},
editor = {Noo Frederic},
faupublication = {yes},
pages = {364-368},
peerreviewed = {Yes},
title = {{Frist} experimental results on long-object imaging using a reverse helical trajectory with a {C}-arm system},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Yu12-FER.pdf},
venue = {Salt Lake City, UT},
year = {2012}
}
@inproceedings{faucris.110732204,
author = {Bourier, Felix and Schneider, Hans-Jürgen and Heißenhuber, Frank and Ganslmeier, Patrycja and Fischer, Robert and Brost, Alexander and Koch, Martin and Strobel, Norbert and Hornegger, Joachim and Kurzidim, Klaus},
booktitle = {77. Jahrestagung},
date = {2011-04-27/2011-04-30},
editor = {Deutsche Gesellschaft für Kardiologie},
faupublication = {yes},
pages = {188.0},
peerreviewed = {unknown},
title = {{Frühzeitige} {Registrierung} eines {3D}-{Overlays} des linken {Atriums} während linksatrialen {Ablationen} mittels {Koronarsinuskatheter}},
venue = {Mannheim},
year = {2011}
}
@inproceedings{faucris.113161884,
author = {Wels, Michael and Huber, Martin and Hornegger, Joachim},
booktitle = {3D Segmentation in the Clinic - A Grand Challenge MICCAI 2007 Workshop Proceedings},
date = {2007-10-29/2007-11-02},
editor = {Heimann Tobias, Styner Martin, van Ginneken Bram},
faupublication = {yes},
pages = {19-27},
peerreviewed = {unknown},
title = {{Fully} {Automated} {Knowledge}-{Based} {Segmentation} of the {Caudate} {Nuclei} in 3-{D} {MRI}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Wels07-FAK.pdf},
venue = {Brisbane, QLD},
year = {2007}
}
@article{faucris.120202324,
abstract = {This paper addresses segmentation of multiple sclerosis lesions in multispectral 3-D brain MRI data. For this purpose, we propose a novel fully automated segmentation framework based on probabilistic boosting trees, which is a recently introduced strategy for supervised learning. By using the context of a voxel to be classified and its transformation to an overcomplete set of Haar-like features, it is possible to capture class specific characteristics despite the well-known drawbacks of MR imaging. By successively selecting and combining the most discriminative features during ensemble boosting within a tree structure, the overall procedure is able to learn a discriminative model for voxel classification in terms of posterior probabilities. The final segmentation is obtained after refining the preliminary result by stochastic relaxation and a standard level set approach. A quantitative evaluation within a leave-one-out validation shows the applicability of the proposed method. © 2008 Pleiades Publishing, Ltd.},
author = {Wels, Michael and Huber, M. and Hornegger, Joachim},
doi = {10.1134/S1054661808020235},
faupublication = {yes},
journal = {Pattern Recognition and Image Analysis},
note = {UnivIS-Import:2015-04-16:Pub.2008.tech.IMMD.IMMD5.fullya},
pages = {347-350},
peerreviewed = {unknown},
title = {{Fully} automated segmentation of multiple sclerosis lesions in multispectral {MRI}},
volume = {18},
year = {2008}
}
@inproceedings{faucris.121435204,
author = {Seeger, Christoph and Brost, Alexander and Dobre, Mircea and Fischbein, Nancy and Han, Zhaoying and Maclaren, Julian and Vos, Sjoerd and Hornegger, Joachim and Bammer, Roland},
booktitle = {Proceedings of the 21st Annual meeting of the ISMRM},
date = {2013-04-20/2013-04-26},
editor = {ISMRM},
faupublication = {yes},
pages = {1146.0},
title = {{Fully} {Automatic} {Maximum} {Intensity} {Projections} of {Regions} of {Interest} in {Magnetic} {Resonance} {Angiograms}},
venue = {Salt Lake City, UT},
year = {2013}
}
@inproceedings{faucris.108225524,
address = {Brno, Czech Republic},
author = {Mayer, Markus Anton and Tornow, Ralf-Peter and Hornegger, Joachim and Kruse, Friedrich},
booktitle = {Analysis of Biomedical Signals and Images, Proceedings of the Biosignal 2008 International Eurasip Conference},
date = {2008-06-29/2008-07-01},
editor = {Jan Jiri, Kozumplik Jiri, Provanznik Ivo},
faupublication = {yes},
pages = {no pagination},
peerreviewed = {unknown},
title = {{Fuzzy} {C}-means {Clustering} {For} {Retinal} {Layer} {Segmentation} {On} {High} {Resolution} {OCT} {Images}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Mayer08-FCC.pdf},
venue = {Brno},
year = {2008}
}
@article{faucris.120191984,
abstract = {Gastrointestinal surgery is influenced by developments in information science. In particular, it is expected that information science will serve as a basis for NOTES procedures. In this contribution we provide an overview over the expected progress and associated problems. High innovation speed in technology and the continuously increasing complexity of technical systems open up great opportunities, but imply also problems that have to be assessed actively by physicians and surgeons. © Georg Thieme Verlag KG Stuttgart New York.},
author = {Hornegger, Joachim and Höller, Kurt Emmerich and Hempel, Sarah-Marie},
doi = {10.1055/s-0031-1271346},
faupublication = {yes},
journal = {Endoskopie heute},
pages = {20-24},
peerreviewed = {Yes},
title = {{Gastrointestinal} surgery 2025 - {Changes} emerging with information science},
volume = {24},
year = {2011}
}
@inproceedings{faucris.121183744,
abstract = {Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between multiple input factors are unknown. In this paper we propose and evaluate the application of a specifically adapted genetic programming framework to optimize the rule base of an expert system. The expert system controls a computer-aided-design software and targets the automation of a manufacturing process. The used steady state genetic programming framework introduces some variations on the selection and evolution operators normally used in genetic programming. In particular: size enforcing mutation, dynamic fitness calculation and size constraint ranking. The genetic programming system is evaluated with real data and led to an improved expert system performance of about 22 percent. © 2010 IEEE.},
author = {Sickel, Konrad and Hornegger, Joachim},
booktitle = {2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010},
doi = {10.1109/CEC.2010.5586200},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Genetic} programming for expert systems},
venue = {Barcelona},
volume = {null},
year = {2010}
}
@inproceedings{faucris.108160624,
author = {Brost, Alexander and Strobel, Norbert and Yatziv, Liron and Gilson, Wesley D. and Meyer, Bernhard and Hornegger, Joachim and Lewin, Jonathan and Wacker, Frank},
booktitle = {MICCAI 2009 Workshop on Geometric Accuracy in Image Guided Interventions},
date = {2009-09-20},
editor = {Joskowicz Leo, Abolmaesumi Purang, Fitzpatrick Michael},
faupublication = {yes},
pages = {12-19},
peerreviewed = {unknown},
title = {{Geometric} {Accuracy} of 3-{D} {X}-{Ray} {Image}-{Based} {Localization} from {Two} {C}-{Arm} {Views}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Brost09-GAO.pdf},
venue = {London},
year = {2009}
}
@article{faucris.121210804,
abstract = {In this paper, a novel geometric calibration method for C-arm cone-beam scanners is presented which allows the calibration of the circle-plus-arc trajectory. The main idea is the separation of the trajectory into two circular segments (circle segment and arc segment) which are calibrated independently. This separation makes it possible to reuse a calibration phantom which has been successfully applied in clinical environments to calibrate numerous routinely used C-arm systems. For each trajectory segment, the phantom is placed in an optimal position. The two calibration results are then combined by computing the transformation the phantom underwent between the independent calibration runs. This combination can be done in a post-processing step by using standard linear algebra. The method is not limited to circle-plus-arc trajectories and works for any calibration procedure in which the phantom has a preferred orientation with respect to a trajectory segment. Results are presented for both simulated as well as real data acquired with a C-arm system. We also present the first image reconstruction results for the circle-plus-arc trajectory using real C-arm data. © 2007 IOP Publishing Ltd.},
author = {Hoppe, Stefan and Noo, Frédéric and Dennerlein, Frank and Lauritsch, Günter and Hornegger, Joachim},
doi = {10.1088/0031-9155/52/23/012},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
pages = {6943-6960},
peerreviewed = {Yes},
title = {{Geometric} calibration of the circle-plus-arc trajectory},
volume = {52},
year = {2007}
}
@article{faucris.108077244,
author = {Kollorz, Eva Nicole Karin and Penne, Jochen and Hornegger, Joachim and Barke, Alexander},
doi = {10.1504/IJISTA.2008.021296},
faupublication = {yes},
journal = {International Journal of Intelligent Systems Technologies and Applications},
pages = {334-343},
peerreviewed = {unknown},
title = {{Gesture} recognition with a {Time}-{Of}-{Flight} camera},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Kollorz08-GRW.pdf},
volume = {5.0},
year = {2008}
}
@book{faucris.121174504,
abstract = {Glaucoma is associated with axonal degeneration of the optic nerve leading to visual impairment. This impairment can progress to a complete vision loss. The transsynaptic disease spread in glaucoma extends the degeneration process to different parts of the visual pathway. Most of glaucoma diagnosis focuses on the eye analysis, especially in the retina. In this work, we propose a system to classify glaucoma based on visual pathway analysis. The system utilizes diffusion tensor imaging to identify the optic radiation. Diffusion tensor-derived indices describing the underlying fiber structure as well as the main diffusion direction are used to characterize the optic radiation. Features are extracted from the histograms of these parameters in regions of interest defined on the optic radiation. A support vector machine classifier is used to rank the extracted features according to their discrimination ability between glaucoma patients and healthy subjects. The seven highest ranked features are used as inputs to a logistic regression classifier. The system is applied to two age-matched groups of 39 glaucoma subjects and 27 normal controls. The evaluation is performed using a 10-fold cross validation scheme. A classification accuracy of 81.8% is achieved with an area under the ROC curve of 0.85. The performance of the system is competitive to retina based classification systems. However, this work presents a new direction in detecting glaucoma using visual pathway analysis. This analysis is complementary to eye examinations and can result in improvements in glaucoma diagnosis, detection, and treatment. © 2011 Springer-Verlag.},
author = {El-Rafei, Ahmed Mohamed Ibrahim and Engelhorn, Tobias and Wärntges, Simone and Dörfler, Arnd and Hornegger, Joachim and Michelson, Georg},
doi = {10.1007/978-3-642-23672-3{\_}64},
faupublication = {yes},
pages = {529-536},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Glaucoma} classification based on histogram analysis of diffusion tensor imaging measures in the optic radiation},
volume = {null},
year = {2011}
}
@article{faucris.123978404,
abstract = {Most of the existing methods for diagnosing glaucoma analyze the eye with a main focus on the retina, despite the transsynaptic nature of the fiber degeneration caused by glaucoma. Thus, they ignore a significant part of the visual system represented by the visual pathway in the brain. The advances in neuroimaging, especially diffusion tensor imaging (DTI), enable the identification and characterization of white matter fibers. In this work, we propose a system based on DTI analysis of the visual pathway fibers in the optic radiation for detecting and discriminating different glaucoma entities. The optic radiation is identified semi-automatically. DTI provides information about the fiber orientation as well as a set of derived parameters describing the degree of diffusion anisotropy and diffusivity. Features for each DTI derived measure are extracted from a specified region of interest on the optic radiation. The features are grouped into three sets: Histogram, co-occurrence matrices, and Laws features. For feature selection, the features are ranked using a support vector machine classifier. The highest ranked features are used for classification. A support vector machine classifier is used for classification in a 10-fold cross validation setup. The system is applied to three age-matched subjects' categories containing 27 healthy, 39 primary open angle glaucoma (POAG), and 18 normal tension glaucoma (NTG) subjects. The discrimination accuracy between healthy and glaucoma (POAG and NTG) subjects is 94.1% with an area under the ROC of 0.97. Classification accuracy of 92.4% is obtained for the normal and the POAG groups while it increased to 100% in case of healthy and NTG groups. In addition, the system could differentiate between glaucoma types (POAG and NTG) with an accuracy of 98.3%. A complementary analysis was performed to estimate the selection bias in the obtained accuracy. The bias ranged from 10% to 20% depending on the group pair under consideration. The classification results indicate the high performance of the system compared to retina-based glaucoma detection systems. The proposed approach utilizes visual pathway analysis rather than the conventional eye analysis which presents a new trend in glaucoma detection. Analyzing the entire visual system could provide significant information that can improve the glaucoma examination flow and treatment. (c) 2013 Elsevier Inc. All rights reserved.},
author = {El-Rafei, Ahmed Mohamed Ibrahim and Engelhorn, Tobias and Wärntges, Simone and Dörfler, Arnd and Hornegger, Joachim and Michelson, Georg},
doi = {10.1016/j.mri.2013.01.001},
faupublication = {yes},
journal = {Magnetic Resonance Imaging},
keywords = {Diffusion tensor imaging;Glaucoma;Optic radiation;Visual pathway;Classification;Texture features},
pages = {1081-1091},
peerreviewed = {Yes},
title = {{Glaucoma} classification based on visual pathway analysis using diffusion tensor imaging},
volume = {31},
year = {2013}
}
@article{faucris.120195064,
abstract = {Glaucoma as a neurodegeneration of the optic nerve is one of the most common causes of blindness. Because revitalization of the degenerated nerve fibers of the optic nerve is impossible early detection of the disease is essential. This can be supported by a robust and automated mass-screening. We propose a novel automated glaucoma detection system that operates on inexpensive to acquire and widely used digital color fundus images. After a glaucoma specific preprocessing, different generic feature types are compressed by an appearance-based dimension reduction technique. Subsequently, a probabilistic two-stage classification scheme combines these features types to extract the novel Glaucoma Risk Index (GRI) that shows a reasonable glaucoma detection performance. On a sample set of 575 fundus images a classification accuracy of 80% has been achieved in a 5-fold cross-validation setup. The GRI gains a competitive area under ROC (AUC) of 88% compared to the established topography-based glaucoma probability score of scanning laser tomography with AUC of 87%. The proposed color fundus image-based GRI achieves a competitive and reliable detection performance on a low-priced modality by the statistical analysis of entire images of the optic nerve head. © 2009 Elsevier B.V.},
author = {Bock, Rüdiger and Meier, Jörg and Nyul, Laszlo G. and Hornegger, Joachim and Michelson, Georg},
doi = {10.1016/j.media.2009.12.006},
faupublication = {yes},
journal = {Medical Image Analysis},
pages = {471-481},
peerreviewed = {Yes},
title = {{Glaucoma} risk index: {Automated} glaucoma detection from color fundus images},
volume = {14},
year = {2010}
}
@inproceedings{faucris.121200684,
abstract = {The Common Unified Device Architecture (CUDA) introduced in 2007 by NVIDIA is a recent programming model making use of the unified shader design of the most recent graphics processing units (GPUs). The programming interface allows algorithm implementation using standard C language along with a few extensions without any knowledge about graphics programming using OpenGL, DirectX, and shading languages. We apply this novel technology to the Simultaneous Algebraic Reconstruction Technique (SART), which is an advanced iterative image reconstruction method in cone-beam CT. So far, the computational complexity of this algorithm has prohibited its use in most medical applications. However, since today's GPUs provide a high level of parallelism and are highly cost-efficient processors, they are predestinated for performing the iterative reconstruction according to medical requirements. In this paper we present an efficient implementation of the most time-consuming parts of the iterative reconstruction algorithm: forward- and back-projection. We also explain the required strategy to parallelize the algorithm for the CUDA 1.1 and CUDA 2.0 architecture. Furthermore, our implementation introduces an acceleration technique for the reconstruction compared to a standard SART implementation on the GPU using CUDA. Thus, we present an implementation that can be used in a time-critical clinical environment. Finally, we compare our results to the current applications on multi-core workstations, with respect to both reconstruction speed and (dis-)advantages. Our implementation exhibits a speed-up of more than 64 compared to a state-of-the-art CPU using hardware-accelerated texture interpolation. © 2009 SPIE.},
author = {Keck, Benjamin and Hofmann, Hannes and Scherl, Hermann and Kowarschik, Markus and Hornegger, Joachim},
booktitle = {Medical Imaging 2009: Physics of Medical Imaging},
doi = {10.1117/12.811559},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{GPU}-accelerated {SART} reconstruction using the {CUDA} programming environment},
venue = {Lake Buena Vista, FL},
volume = {7258},
year = {2009}
}
@inproceedings{faucris.107873304,
author = {Wetzl, Jens and Taubmann, Oliver and Haase, Sven and Köhler, Thomas and Kraus, Martin and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin},
date = {2013-03-04},
editor = {Thomas Tolxdorff, Thomas Martin Deserno},
faupublication = {yes},
pages = {21-26},
title = {{GPU} {Accelerated} {Time}-of-{Flight} {Super}-{Resolution} for {Image}-{Guided} {Surgery}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Wetzl13-GAT.pdf},
venue = {Heidelberg},
year = {2013}
}
@inproceedings{faucris.118746584,
address = {Japan},
author = {Wang, Jian and Borsdorf, Anja and Heigl, Benno and Köhler, Thomas and Hornegger, Joachim},
booktitle = {International Conference on 3D Vision},
faupublication = {yes},
isbn = {978-1-4799-7001-8},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.gradie{\_}6},
pages = {293-300},
publisher = {IEEE},
title = {{Gradient}-{Based} {Differential} {Approach} for 3-{D} {Motion} {Compensation} in {Interventional} 2-{D}/3-{D} {Image} {Fusion}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Wang14-GDA.pdf},
venue = {Tokyo, Japan},
year = {2014}
}
@inproceedings{faucris.121792484,
abstract = {In this paper, we augment multi-frame super-resolution with the concept of guided filtering for simultaneous upsampling of 3-D range data and complementary photometric information in hybrid range imaging. Our guided super-resolution algorithm is formulated as joint maximum a-posteriori estimation to reconstruct high-resolution range and photometric data. In order to exploit local correlations between both modalities, guided filtering is employed for regularization of the proposed joint energy function. For fast and robust image reconstruction, we employ iteratively re-weighted least square minimization embedded into a cyclic coordinate descent scheme. The proposed method was evaluated on synthetic datasets and real range data acquired with Microsoft’s Kinect. Our experimental evaluation demonstrates that our approach outperforms state-of-the-art range super-resolution algorithms while it also provides super-resolved photometric data.},
author = {Ghesu, Florin-Cristian and Köhler, Thomas and Haase, Sven and Hornegger, Joachim},
booktitle = {Pattern Recognition},
date = {2014-09-02/2014-09-05},
doi = {10.1007/978-3-319-11752-2{\_}18},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.guided{\_}65},
pages = {000-000},
publisher = {Springer Verlag},
title = {{Guided} {Image} {Super}-{Resolution}: {A} {New} {Technique} for {Photogeometric} {Super}-{Resolution} in {Hybrid} 3-{D} {Range} {Imaging}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Ghesu14-GIS.pdf},
venue = {Münster},
year = {2014}
}
@inproceedings{faucris.118746804,
author = {Manhart, Michael and Fahrig, Rebecca and Hornegger, Joachim and Dörfler, Arnd and Maier, Andreas},
booktitle = {Proceedings of the Third CT Meeting},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.guided{\_}6},
pages = {91-94},
title = {{Guided} {Noise} {Reduction} for {Spectral} {CT} with {Energy}-{Selective} {Photon} {Counting} {Detectors}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Manhart14-GNR.pdf},
venue = {Salt Lake City, UT, USA},
year = {2014}
}
@inproceedings{faucris.118692464,
abstract = {Tissue perfusion measurement using C-arm angiography systems capable of CT-like imaging (flat detector CT (FD-CT)) is a novel technique with high potential benefit for catheter-guided treatment of stroke in the interventional suite. New high speed protocols (HSP) with increased C-arm rotation speed enable fast acquisitions of FD-CT volumes and allow for sampling the contrast flow with improved temporal resolution. However, the peak contrast attenuation values of brain tissue typically lie in a range of 5-30 HU. Thus perfusion imaging is very sensitive to noise. Recently we introduced the FDK-JBF denoising technique based on Feldkamp (FDK) reconstruction followed by denoising in volume space using joint bilateral filtering (JBF). In the evaluation FDK-JBF achieved comparable results to algebraic techniques, but is computationally less costly. Yet the angular sampling of the projection data in the HSP is coarse, which leads to streak artifacts in the reconstructed volumes. Mask volumes are subtracted from the contrast agent enhanced (bolus) volumes and the streak artifacts are subtracted out if the patient does not move during the acquisition. However, in case of motion the streak artifacts will not be identical in the mask and bolus volumes. We show that these streaks can lead to severe artifacts in the perfusion maps and describe a novel technique for streak removal (SR), which is based on streak detection by using time-contrast curve analysis.We evaluated the FDK-SR-JBF algorithm in a phantom and a patient study and show that noise and streaks can be reduced within a short computation time. © 2013 IEEE.},
author = {Manhart, Michael and Aichert, André and Kowarschik, Markus and Deuerling-Zheng, Yu and Struffert, Tobias and Dörfler, Arnd and Maier, Andreas and Hornegger, Joachim},
booktitle = {Proceedings NSS/MIC 2013},
date = {2013-10-27/2013-11-02},
doi = {10.1109/NSSMIC.2013.6829278},
faupublication = {yes},
keywords = {Flat detector CT; noise reduction; Perfusion imaging; stroke treatment},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD5.guided{\_}5},
title = {{Guided} {Noise} {Reduction} with {Streak} {Removal} for {High} {Speed} {Flat} {Detector} {CT} {Perfusion}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Manhart13-GNR.pdf},
venue = {Seoul, Korea},
year = {2013}
}
@inproceedings{faucris.107862744,
author = {Bourier, Felix and Brost, Alexander and Koch, Martin and Kleinöder, Andreas and Kiraly, Attila P. and Hornegger, Joachim and Strobel, Norbert and Zorger, Niels and Schneider, Hans-Jürgen and Kurzidim, Klaus},
booktitle = {ESC Congress},
date = {2011-08-27/2011-08-31},
editor = {European Society of Cardiology},
faupublication = {yes},
pages = {P3595},
peerreviewed = {unknown},
title = {{Guiding} transseptal puncture by {3D}-overlay of the left atrium and ascending aorta by a new softwareprototype},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Bourier11-GTP.pdf},
venue = {Paris},
year = {2011}
}
@article{faucris.113992384,
abstract = {We developed an ultrahigh speed, handheld swept source optical coherence tomography (SS-OCT) ophthalmic instrument using a 2D MEMS mirror. A vertical cavity surface-emitting laser (VCSEL) operating at 1060 nm center wavelength yielded a 350 kHz axial scan rate and 10 μm axial resolution in tissue. The long coherence length of the VCSEL enabled a 3.08 mm imaging range with minimal sensitivity roll-off in tissue. Two different designs with identical optical components were tested to evaluate handheld OCT ergonomics. An iris camera aided in alignment of the OCT beam through the pupil and a manual fixation light selected the imaging region on the retina. Volumetric and high definition scans were obtained from 5 undilated normal subjects. Volumetric OCT data was acquired by scanning the 2.4 mm diameter 2D MEMS mirror sinusoidally in the fast direction and linearly in the orthogonal slow direction. A second volumetric sinusoidal scan was obtained in the orthogonal direction and the two volumes were processed with a software algorithm to generate a merged motion-corrected volume. Motion-corrected standard 6 × 6 mm2 and wide field 10 × 10 mm2 volumetric OCT data were generated using two volumetric scans, each obtained in 1.4 seconds. High definition 10 mm and 6 mm B-scans were obtained by averaging and registering 25 B-scans obtained over the same position in 0.57 seconds. One of the advantages of volumetric OCT data is the generation of en face OCT images with arbitrary cross sectional B-scans registered to fundus features. This technology should enable screening applications to identify early retinal disease, before irreversible vision impairment or loss occurs. Handheld OCT technology also promises to enable applications in a wide range of settings outside of the traditional ophthalmology or optometry clinics including pediatrics, intraoperative, primary care, developing countries, and military medicine. © 2013 Optical Society of America.},
author = {Lu, Chen D. and Kraus, Martin and Potsaid, Benjamin and Liu, Jonathan J. and Choi, WooJhon and Jayaraman, Vijaysekhar and Cable, Alex E. and Hornegger, Joachim and Duker, Jay S. and Fujimoto, James G.},
doi = {10.1364/BOE.5.000293},
faupublication = {yes},
journal = {Biomedical Optics Express},
note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.handhe},
pages = {293-311},
peerreviewed = {Yes},
title = {{Handheld} ultrahigh speed swept source optical coherence tomography instrument using a {MEMS} scanning mirror},
volume = {5},
year = {2014}
}
@inproceedings{faucris.120332784,
address = {Berlin},
author = {Siegl, Christian and Hofmann, Hannes and Keck, Benjamin and Prümmer, Marcus and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2011},
date = {2011-03-20/2011-03-22},
doi = {10.1007/978-3-642-19335-4{\_}92},
editor = {Handels Heinz, Ehrhardt Jan, Deserno Thomas Martin, Meinzer Hans-Peter, Tolxdorff Thomas},
faupublication = {yes},
pages = {449-453},
peerreviewed = {unknown},
publisher = {Springer Berlin Heidelberg},
title = {{Hardware}-unabhängige {Beschleunigung} von {Medizinischer} {Bildverarbeitung} mit {OpenCL}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Siegl11-HBV.pdf},
venue = {Lübeck},
year = {2011}
}
@inproceedings{faucris.108164584,
address = {Berlin},
author = {Schwemmer, Chris and Prümmer, Marcus and Daum, Volker and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2010 - Algorithmen - Systeme - Anwendungen},
date = {2010-03-14/2010-03-16},
editor = {Deserno Thomas Martin, Handels Heinz, Meinzer Hans-Peter, Tolxdorff Thomas},
faupublication = {yes},
pages = {365-369},
peerreviewed = {unknown},
publisher = {Springer},
title = {{High}-{Density} {Object} {Removal} from {Projection} {Images} using {Low}-{Frequency}-{Based} {Object} {Masking}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Schwemmer10-HOR.pdf},
venue = {Aachen},
year = {2010}
}
@article{faucris.119196044,
abstract = {Object: The aim of this study was to investigate the acceleration of peripheral Time-of-Flight magnetic resonance angiography using Compressed Sensing and parallel magnetic resonance imaging (MRI) while preserving image quality and vascular contrast.},
author = {Hutter, Jana and Grimm, Robert and Forman, Christoph and Hornegger, Joachim and Schmitt, Peter},
doi = {10.1007/s10334-014-0477-9},
faupublication = {yes},
journal = {Magnetic Resonance Materials in Physics Biology and Medicine},
keywords = {Compressed Sensing; Iterative reconstruction; Non-contrast-enhanced MRA; Peripheral angiography},
note = {UnivIS-Import:2015-07-08:Pub.2015.tech.IMMD.IMMD5.highly},
peerreviewed = {Yes},
title = {{Highly} undersampled peripheral {Time}-of-{Flight} magnetic resonance angiography: optimized data acquisition and iterative image reconstruction},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Hutter15-HUP.pdf},
volume = {-},
year = {2015}
}
@inproceedings{faucris.118276004,
author = {Hutter, Jana and Greiser, Andreas and Grimm, Robert and Forman, Christoph and Hornegger, Joachim and Schmitt, Peter},
booktitle = {Proceedings of the 21st Annual meeting of the ISMRM},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD5.highly},
pages = {-},
title = {{Highly} undersampled time resolved phase-contrast {MRA} with flow-adapted compressed sensing reconstruction},
venue = {Salt Lake City},
year = {2013}
}
@inproceedings{faucris.121397804,
address = {Berlin Heidelberg},
author = {Wasza, Jakob and Bauer, Sebastian and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2011},
date = {2011-03-22},
doi = {10.1007/978-3-642-19335-4{\_}67},
editor = {Handels Heinz; Ehrhardt Jan; Deserno Thomas M.; Meinzer Hans-Peter; Tolxdorff Thomas},
faupublication = {yes},
pages = {324-328},
peerreviewed = {unknown},
publisher = {Springer},
title = {{High} {Performance} {GPU}-based {Preprocessing} for {Time}-of-{Flight} {Imaging} in {Medical} {Applications}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Wasza11-HPG.pdf},
venue = {Lübeck},
year = {2011}
}
@article{faucris.113995244,
abstract = {Object: To study a scan protocol for coronary magnetic resonance angiography based on multiple breath-holds featuring 1D motion compensation and to compare the resulting image quality to a navigator-gated free-breathing acquisition. Image reconstruction was performed using L1 regularized iterative SENSE. Materials and methods: The effects of respiratory motion on the Cartesian sampling scheme were minimized by performing data acquisition in multiple breath-holds. During the scan, repetitive readouts through a k-space center were used to detect and correct the respiratory displacement of the heart by exploiting the self-navigation principle in image reconstruction. In vivo experiments were performed in nine healthy volunteers and the resulting image quality was compared to a navigator-gated reference in terms of vessel length and sharpness. Results: Acquisition in breath-hold is an effective method to reduce the scan time by more than 30 % compared to the navigator-gated reference. Although an equivalent mean image quality with respect to the reference was achieved with the proposed method, the 1D motion compensation did not work equally well in all cases. Conclusion: In general, the image quality scaled with the robustness of the motion compensation. Nevertheless, the featured setup provides a positive basis for future extension with more advanced motion compensation methods. © 2014 ESMRMB.},
author = {Forman, Christoph and Piccini, Davide and Grimm, Robert and Hutter, Jana and Hornegger, Joachim and Zenge, Michael O.},
doi = {10.1007/s10334-013-0428-x},
faupublication = {yes},
journal = {Magnetic Resonance Materials in Physics Biology and Medicine},
keywords = {Compressed sensing; Coronary magnetic resonance angiography; Multiple breath-holds; Respiratory motion compensation},
note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.highre},
pages = {435-443},
peerreviewed = {Yes},
title = {{High}-{Resolution} {3D} {Whole}-{Heart} {Coronary} {MRA}: {A} {Study} on the {Combination} of {Data} {Acquisition} in {Multiple} {Breath}-{Holds} and {1D} {Residual} {Respiratory} {Motion} {Compensation}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Forman14-H3W.pdf},
volume = {27},
year = {2014}
}
@inproceedings{faucris.121389664,
author = {Keck, Benjamin and Hofmann, Hannes and Scherl, Holger and Kowarschik, Markus and Hornegger, Joachim},
booktitle = {2009 IEEE Nuclear Science Symposium Conference Record},
date = {2009-10-31},
doi = {10.1109/NSSMIC.2009.5402433},
editor = {Yu Bo},
faupublication = {yes},
pages = {4035-4040},
peerreviewed = {unknown},
publisher = {Omnipress},
title = {{High} {Resolution} {Iterative} {CT} {Reconstruction} using {Graphics} {Hardware}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Keck09-HRI.pdf},
venue = {Orlando},
year = {2009}
}
@misc{faucris.121806784,
author = {Hornegger, Joachim and Nöth, Elmar and Kornhuber, Johannes},
faupublication = {yes},
peerreviewed = {automatic},
title = {{Human} beings live longer self-determined {Fit4Life}},
year = {2008}
}
@inproceedings{faucris.121362164,
address = {Berlin/Offenbach},
author = {Kollorz, Eva Nicole Karin and Penne, Jochen and Hornegger, Joachim and Kornhuber, Johannes},
booktitle = {Tagungsband zum 1. deutschen AAL-Kongress},
date = {2008-01-30/2008-02-01},
editor = {BMBF (Bundesministerium für Bildung und Forschung), VDE (Verband der Elektrotechnik Elektronik Informationstechnik e.V.)},
faupublication = {yes},
pages = {383-386},
peerreviewed = {unknown},
publisher = {VDE Verlag GMBH},
title = {{Human} {Machine} {Interface} for {Elderly} {People}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Kollorz08-HMI.pdf},
venue = {Berlin},
year = {2008}
}
@article{faucris.121147444,
abstract = {Utilization of external motion tracking devices is an emerging technology in head motion correction for MRI. However, cross-calibration between the reference frames of the external tracking device and the MRI scanner can be tedious and remains a challenge in practical applications. In this study, we present two hybrid methods, both of which combine prospective, optical-based motion correction with retrospective entropy-based autofocusing to remove residual motion artifacts. Our results revealed that in the presence of cross-calibration errors between the optical tracking device and the MR scanner, application of retrospective correction on prospectively corrected data significantly improves image quality. As a result of this hybrid prospective and retrospective motion correction approach, the requirement for a high-quality calibration scan can be significantly relaxed, even to the extent that it is possible to perform external prospective motion tracking without any prior cross-calibration step if a crude approximation of cross-calibration matrix exists. Moreover, the motion tracking system, which is used to reduce the dimensionality of the autofocusing problem, benefits the retrospective approach at the same time. Copyright © 2011 Wiley Periodicals, Inc.},
author = {Aksoy, Murat and Forman, Christoph and Straka, Matus and Cukur, Tolga and Hornegger, Joachim and Bammer, Roland},
doi = {10.1002/mrm.23101},
faupublication = {yes},
journal = {Magnetic Resonance in Medicine},
pages = {1237-1251},
peerreviewed = {Yes},
title = {{Hybrid} prospective and retrospective head motion correction to mitigate cross-calibration errors},
volume = {67},
year = {2012}
}
@inproceedings{faucris.121352044,
author = {Aksoy, Murat and Forman, Christoph and Holdsworth, Samantha and Skare, Stefan and Hornegger, Joachim and Bammer, Roland},
booktitle = {Proceedings of the 18th Annual Meeting of ISMRM & ESMRMB},
date = {2010-05-01/2010-05-07},
editor = {International Society for Magnetic Resonance in Medicine (ISMRM)},
faupublication = {yes},
pages = {499.0},
peerreviewed = {unknown},
title = {{Hybrid} {Prospective} & {Retrospective} {Head} {Motion} {Correction} {System} to {Mitigate} {Cross}-{Calibration} {Errors}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Aksoy10-HPR.pdf},
venue = {Stockholm},
year = {2010}
}
@inproceedings{faucris.107422744,
abstract = {Color texture algorithms have been under investigation for quite a few years now. However, the results of these algorithms are still under considerable influence of the illumination conditions under which the images were captured. It is strongly desireable to reduce the influence of illumination as much as possible to obtain stable and satisfying classification results even under difficult imaging conditions, as they can occur e.g. in medical applications like endoscopy. In this paper we present the analysis of a well-known texture analysis algorithm, namely the sum- and difference-histogram features, with respect to illumination changes. Based on this analysis, we propose a novel set of features factoring out the illumination influence from the majority of the original features. We conclude our paper with a quantitative, experimental evaluation on artificial and real image samples. © Springer-Verlag Berlin Heidelberg 2005.},
author = {Münzenmayer, Christian and Wilharm, Sylvia and Hornegger, Joachim and Wittenberg, Thomas},
booktitle = {27th DAGM (German Association for Pattern Recognition) Symposium, DAGM 2005},
editor = {Kropatsch W.G.Sablating R.Hanbury A.},
faupublication = {yes},
pages = {17-24},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Illumination} invariant color texture analysis based on sum- and difference-histograms},
url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-27244438312&origin=inward},
venue = {Vienna},
volume = {3663},
year = {2005}
}
@article{faucris.113995464,
abstract = {The acquisition of data for cardiac imaging using a C-arm computed tomography system requires several seconds and multiple heartbeats. Hence, incorporation of motion correction in the reconstruction step may improve the resulting image quality. Cardiac motion can be estimated by deformable three-dimensional (3D)/3D registration performed on initial 3D images of different heart phases. This motion information can be used for a motion-compensated reconstruction allowing the use of all acquired data for image reconstruction. However, the result of the registration procedure and hence the estimated deformations are influenced by the quality of the initial 3D images. In this paper, the sensitivity of the 3D/3D registration step to the image quality of the initial images is studied. Different reconstruction algorithms are evaluated for a recently proposed cardiac C-arm CT acquisition protocol. The initial 3D images are all based on retrospective electrocardiogram (ECG)-gated data. ECG-gating of data from a single C-arm rotation provides only a few projections per heart phase for image reconstruction. This view sparsity leads to prominent streak artefacts and a poor signal to noise ratio. Five different initial image reconstructions are evaluated: (1) cone beam filtered-backprojection (FDK), (2) cone beam filtered-backprojection and an additional bilateral filter (FFDK), (3) removal of the shadow of dense objects (catheter, pacing electrode, etc) before reconstruction with a cone beam filtered-backprojection (cathFDK), (4) removal of the shadow of dense objects before reconstruction with a cone beam filtered-backprojection and a bilateral filter (cathFFDK). The last method (5) is an iterative few-view reconstruction (FV), the prior image constrained compressed sensing combined with the improved total variation algorithm. All reconstructions are investigated with respect to the final motion-compensated reconstruction quality. The algorithms were tested on a mathematical phantom data set with and without a catheter and on two porcine models using qualitative and quantitative measures. The quantitative results of the phantom experiments show that if no dense object is present within the scan field of view, the quality of the FDK initial images is sufficient for motion estimation via 3D/3D registration. When a catheter or pacing electrode is present, the shadow of these objects needs to be removed before the initial image reconstruction. An additional bilateral filter shows no major improvement with respect to the final motion-compensated reconstruction quality. The results with respect to image quality of the cathFDK, cathFFDK and FV images are comparable. In conclusion, in terms of computational complexity, the algorithm of choice is the cathFDK algorithm © 2014 Institute of Physics and Engineering in Medicine.},
author = {Müller, Kerstin and Maier, Andreas and Schwemmer, Chris and Lauritsch, Günter and De Buck, Stijn and Wielandts, Jean-Yves and Hornegger, Joachim and Fahrig, Rebecca},
doi = {10.1088/0031-9155/59/12/3121},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
keywords = {C-arm CT; cardiac imaging; dynamic imaging; motion compensation; motion-compensated tomographic reconstruction},
note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.imagea{\_}5},
pages = {3121-3138},
peerreviewed = {Yes},
title = {{Image} artefact propagation in motion estimation and reconstruction in interventional cardiac {C}-arm {CT}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Mueller14-IAP.pdf},
volume = {59},
year = {2014}
}
@inproceedings{faucris.121372284,
author = {Müller, Kerstin and Schwemmer, Chris and Lauritsch, Günter and Rohkohl, Christopher and Maier, Andreas and Heidbüchel, Hein and De Buck, Stijn and Nuyens, Dieter and Kyriakou, Yiannis and Köhler, Christopher and Fahrig, Rebecca and Hornegger, Joachim},
booktitle = {Proceedings of the 12th Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine},
date = {2013-06-16/2013-06-21},
editor = {Fully3D committee},
faupublication = {yes},
pages = {98-101},
title = {{Image} {Artifact} {Influence} on {Motion} {Compensated} {Tomographic} {Reconstruction} in {Cardiac} {C}-arm {CT}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Mueller13-IAI.pdf},
venue = {Lake Tahoe, CA, USA},
year = {2013}
}
@inproceedings{faucris.113219304,
address = {Erlangen},
author = {Schaller, Christian and Khamene, Ali and Hornegger, Joachim},
booktitle = {3rd Russian-Bavarian Conference on Biomedical Engineering},
date = {2007-07-02/2007-07-03},
editor = {Hornegger Joachim, Mayr Ernst W., Schookin Sergey, Feußner Hubertus, Navab Nassir, Gulyaev Yuri V., Höller Kurt, Ganzha Victor},
faupublication = {yes},
pages = {106-110},
peerreviewed = {unknown},
publisher = {Union aktuell},
title = {{Image} {Based} {Time} {Series} {Synchronization} for {Periodically} {Moving} {Targets}},
venue = {Erlangen},
year = {2007}
}
@inproceedings{faucris.121159324,
abstract = {Phase-contrast imaging is a novel modality in the field of medical X-ray imaging. The pioneer method is the grating-based interferometry which has no special requirements to the X-ray source and object size. Furthermore, it provides three different types of information of an investigated object simultaneously - absorption, differential phase-contrast and dark-field images. Differential phase-contrast and dark-field images represent a completely new information which has not yet been investigated and studied in context of medical imaging. In order to introduce phase-contrast imaging as a new modality into medical environment the resulting information about the object has to be correctly interpreted. The three output images reflect different properties of the same object the main challenge is to combine and visualize these data in such a way that it diminish the information explosion and reduce the complexity of its interpretation. This paper presents an intuitive image fusion approach which allows to operate with grating-based phase-contrast images. It combines information of the three different images and provides a single image. The approach is implemented in a fusion framework which is aimed to support physicians in study and analysis. The framework provides the user with an intuitive graphical user interface allowing to control the fusion process. The example given in this work shows the functionality of the proposed method and the great potential of phase-contrast imaging in medical practice. © 2012 SPIE.},
author = {Haas, Wilhelm and Polyanskaya, Maria and Bayer, Florian and Gödel, Karl Christoph and Hofmann, Hannes and Rieger, Jens and Ritter, André and Weber, Thomas and Wucherer, Lukas and Durst, Jürgen and Michel, Thilo and Anton, Gisela and Hornegger, Joachim},
booktitle = {Medical Imaging 2012: Image Processing},
doi = {10.1117/12.911223},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Image} fusion in {X}-ray differential phase-contrast imaging},
venue = {San Diego, CA},
volume = {8314},
year = {2012}
}
@inproceedings{faucris.117280944,
abstract = {C-arm computed tomography (CT) with axially extended field-of-view is valuable when imaging a long organ is desired in the interventional room. However, current C-arm CT employs a circular short scan that only provides incomplete data and short axial coverage. To enable long-object 3D imaging capability on a C-arm system, a multi-turn reverse helix is an attractive solution for data acquisition. We have implemented this trajectory on a state-of-the-art multi-axis C-arm system and performed image reconstruction using our Fusion-RFDK method. This work evaluates these reconstruction results by comparing them with those obtained from a circular short scan. We observed comparable image quality between the two source trajectories.},
author = {Yu, Z. and Maier, Anne-Kathrin and Lauritsch, G. and Vogt, F. and Schonborn, M. and Kohler, C. and Hornegger, Joachim and Noo, F.},
booktitle = {IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014},
doi = {10.1109/NSSMIC.2014.7430752},
faupublication = {yes},
isbn = {9781479960972},
peerreviewed = {unknown},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
title = {{Image} quality assessment for extended-volume {C}-arm {CT} using a multi-turn reverse helix},
year = {2016}
}
@inproceedings{faucris.109080884,
author = {Yu, Zhicong and Maier, Andreas and Lauritsch, Günter and Vogt, Florian and Schönborn, Manfred and Köhler, Christoph and Hornegger, Joachim and Noo, Frédéric},
booktitle = {Proc. of IEEE NUCLEAR SCIENCE SYMPOSIUM & MEDICAL IMAGING CONFERENCE},
faupublication = {yes},
note = {UnivIS-Import:2017-12-20:Pub.2014.tech.IMMD.IMMD5.imageq},
pages = {no pagination},
peerreviewed = {unknown},
title = {{Image} {Quality} {Assessment} for {Extended}-{Volume} {C}-arm {CT} {Using} a {Multi}-{Turn} {Reverse} {Helix}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Yu14-IQA.pdf},
venue = {Seattle, USA},
year = {2014}
}
@inproceedings{faucris.121356884,
address = {Berlin},
author = {Hornegger, Joachim and Tomasi, Carlo},
booktitle = {Bildverarbeitung für die Medizin 2001},
date = {2001-03-04/2001-03-06},
doi = {10.1007/978-3-642-56714-8{\_}19},
editor = {Lehmann T., Handels H., Horsch A., Meinzer H.-P.},
faupublication = {no},
pages = {109-116},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Image} warping for 3-{D} reconstruction: {Robustness} and efficiency},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2001/Hornegger01-IWF.pdf},
venue = {Lübeck},
year = {2001}
}
@inproceedings{faucris.107977364,
address = {Berlin - Heidelberg},
author = {Soutschek, Stefan and Hönig, Florian Thomas and Maier, Andreas and Steidl, Stefan and Stürmer, Michael and Erzigkeit, Helmut and Hornegger, Joachim and Kornhuber, Johannes},
booktitle = {Proceedings of the ArtsIT 2009},
date = {2009-09-24/2009-09-25},
editor = {ArtsIT 2009 - International Conference on Arts & Technology},
faupublication = {yes},
pages = {33-39},
peerreviewed = {Yes},
publisher = {Springer},
title = {{Immersive} {Painting}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Soutschek09-IP.pdf},
venue = {Yi-Lan},
year = {2009}
}
@inproceedings{faucris.121218284,
abstract = {In most of today's commercially available cone-beam CT scanners, the well known FDK method is used for solving the 3D reconstruction task. The computational complexity of this algorithm prohibits its use for many medical applications without hardware acceleration. The brand-new Cell Broadband Engine Architecture (CBEA) with its high level of parallelism is a cost-efficient processor for performing the FDK reconstruction according to the medical requirements. The programming scheme, however, is quite different to any standard personal computer hardware. In this paper, we present an innovative implementation of the most time-consuming parts of the FDK algorithm: filtering and back-projection. We also explain the required transformations to parallelize the algorithm for the CBEA. Our software framework allows to compute the filtering and back-projection in parallel, making it possible to do an on-the-fly-reconstruction. The achieved results demonstrate that a complete FDK reconstruction is computed with the CBEA in less than seven seconds for a standard clinical scenario. Given the fact that scan times are usually much higher, we conclude that reconstruction is finished right after the end of data acquisition. This enables us to present the reconstructed volume to the physician in real-time, immediately after the last projection image has been acquired by the scanning device.},
author = {Scherl, Holger and Körner, Mario and Hofmann, Hannes and Eckert, Wieland and Kowarschik, Markus and Hornegger, Joachim},
booktitle = {Medical Imaging 2007: Physics of Medical Imaging},
doi = {10.1117/12.708754},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Implementation} of the {FDK} algorithm for cone-beam {CT} on the cell broadband engine architecture},
venue = {San Diego, CA},
volume = {6510},
year = {2007}
}
@inproceedings{faucris.121203324,
abstract = {We present an algorithm for the segmentation of the liver in 2-D computed tomography slice images. The basis for our algorithm is an implicit active shape model. In order to detect the liver boundary and guide the shape model deformation, a boundary classifier has been integrated into the implicit framework in a novel manner. The accuracy of the algorithm has been evaluated for 20 test cases including both normal and abnormal livers. © 2008 IEEE.},
author = {Wimmer, Andreas and Hornegger, Joachim and Soza, Grzegorz},
booktitle = {2008 19th International Conference on Pattern Recognition, ICPR 2008},
doi = {10.1109/ICPR.2008.4760968},
faupublication = {yes},
pages = {1 - 4},
peerreviewed = {unknown},
title = {{Implicit} active shape model employing boundary classifier},
venue = {Tampa, FL},
volume = {null},
year = {2008}
}
@inproceedings{faucris.120681484,
author = {Forman, Christoph and Aksoy, Murat and Straka, Matus and Hornegger, Joachim and Bammer, Roland},
booktitle = {Proceedings of the 18th Annual Meeting of ISMRM & ESMRMB},
date = {2010-05-01/2010-05-07},
editor = {International Society for Magnetic Resonance in Medicine (ISMRM)},
faupublication = {yes},
pages = {497.0},
peerreviewed = {unknown},
title = {{Improved} {Pose} {Detection} for {Single} {Camera} {Real}-{Time} {MR} {Motion} {Correction} {Using} a {Self}-{Encoded} {Marker}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Forman10-IPD.pdf},
venue = {Stockholm},
year = {2010}
}
@inproceedings{faucris.121473044,
author = {Aksoy, Murat and Forman, Christoph and Straka, Matus and Holdsworth, Samantha and Skare, Stefan and Santos, Juan and Hornegger, Joachim and Bammer, Roland},
booktitle = {Proceedings of the 18th Annual Meeting of ISMRM & ESMRMB},
date = {2010-05-01/2010-05-07},
editor = {International Society for Magnetic Resonance in Medicine (ISMRM)},
faupublication = {yes},
pages = {1613.0},
peerreviewed = {unknown},
title = {{Improved} {Prospective} {Optical} {Motion} {Correction} for {DTI} {Using} an {Extended}-{Field}-of-{View} and {Self}-{Encoded} {Marker}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Aksoy10-IPO.pdf},
venue = {Stockholm},
year = {2010}
}
@inproceedings{faucris.118747244,
author = {Herbst, Magdalena and Schebesch, Frank and Berger, Martin and Fahrig, Rebecca and Hornegger, Joachim and Maier, Andreas},
booktitle = {Proceedings of the third international conference on image formation in x-ray computed tomography},
faupublication = {yes},
keywords = {GRK-1773},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.improv{\_}5},
pages = {274-278},
title = {{Improved} trajectories in {C}-{Arm} computed tomography for non-circular fields of view},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Herbst14-ITI.pdf},
venue = {Salt Lake City, UT, USA},
year = {2014}
}
@inproceedings{faucris.107918624,
author = {Rothgang, Eva and Weiss, Clifford R. and Wacker, Frank and Hornegger, Joachim and Lorenz, Christine H. and Gilson, Wesley D.},
booktitle = {Proceedings of International Society for Magnetic Resonance in Medicine},
date = {2012-05-05/2012-05-11},
editor = {Pipe Jim},
faupublication = {yes},
pages = {1605.0},
peerreviewed = {unknown},
title = {{Improved} {Workflow} for {Freehand} {MR}-{Guided} {Percutaneous} {Needle} {Interventions}: {Methods} and {Validation}},
venue = {Melbourne},
year = {2012}
}
@inproceedings{faucris.121338624,
address = {Berlin},
author = {Placht, Simon and Schaller, Christian and Balda, Michael and Adelt, André and Ulrich, Christian and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin},
date = {2010-03-14/2010-03-16},
editor = {Meinzer Hans-Peter, Deserno Thomas Martin, Handels Heinz, Tolxdorff Thomas},
faupublication = {yes},
pages = {177-181},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Improvement} and {Evaluation} of a {Time}-of-{Flight} based patient positioning system},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Placht10-IAE.pdf},
venue = {Aachen},
year = {2010}
}
@inproceedings{faucris.118747464,
abstract = {Invasive cardiac angiography (catheterization) is still the standard in clinical practice for diagnosing coronary artery disease (CAD) but it involves a high amount of risk and cost. New generations of CT scanners can acquire high-quality images of coronary arteries which allow for an accurate identification and delineation of stenoses. Recently, computational fluid dynamics (CFD) simulation has been applied to coronary blood flow using geometric lumen models extracted from CT angiography (CTA). The computed pressure drop at stenoses proved to be indicative for ischemia-causing lesions, leading to non-invasive fractional flow reserve (FFR) derived from CTA. Since the diagnostic value of non-invasive procedures for diagnosing CAD relies on an accurate extraction of the lumen, a precise segmentation of the coronary arteries is crucial. As manual segmentation is tedious, time-consuming and subjective, automatic procedures are desirable. We present a novel fully-automatic method to accurately segment the lumen of coronary arteries in the presence of calcified and non-calcified plaque. Our segmentation framework is based on three main steps: boundary detection, calcium exclusion and surface optimization. A learning-based boundary detector enables a robust lumen contour detection via dense ray-casting. The exclusion of calcified plaque is assured through a novel calcium exclusion technique which allows us to accurately capture stenoses of diseased arteries. The boundary detection results are incorporated into a closed set formulation whose minimization yields an optimized lumen surface. On standardized tests with clinical data, a segmentation accuracy is achieved which is comparable to clinical experts and superior to current automatic methods. © 2014 SPIE.},
author = {Lugauer, Felix and Zhang, Jingdan and Zheng, Yefeng and Hornegger, Joachim and Kelm, B. Michael},
booktitle = {Proceedings SPIE},
date = {2014-02-16/2014-02-18},
doi = {10.1117/12.2043238},
faupublication = {yes},
keywords = {lumen segmentation; calicum suppression; CTA; CAD},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.improv{\_}60},
pages = {90343U-10},
title = {{Improving} {Accuracy} in {Coronary} {Lumen} {Segmentation} via {Explicit} {Calcium} {Exclusion}, {Learning}-based {Ray} {Detection} and {Surface} {Optimization}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Lugauer14-IAI.pdf},
venue = {San Diego, California, USA},
volume = {9034},
year = {2014}
}
@inproceedings{faucris.108760344,
author = {Mualla, Firas and Schöll, Simon and Sommerfeldt, Björn and Steidl, Stefan and Buchholz, Rainer and Hornegger, Joachim},
booktitle = {IEEE 11th International Symposium on Biomedical Imaging (ISBI)},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.improv{\_}8},
pages = {927-930},
title = {{Improving} {Joint} {Learning} of {Suspended} and {Adherent} {Cell} {Detection} {Using} {Low}-{Pass} {Monogenic} {Phase} and {Transport} of {Intensity} {Equation}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Mualla14-IJL.pdf},
venue = {Beijing},
year = {2014}
}
@inproceedings{faucris.109206724,
author = {Lugauer, Felix and Nickel, Dominik and Kannengiesser, Stephan A. R. and Barnes, Samuel and Holshouser, Barbara and Wetzl, Jens and Hornegger, Joachim and Maier, Andreas},
booktitle = {Proceedings of the 24th Annual Meeting of the ISMRM (ISMRM 2016)},
faupublication = {yes},
note = {UnivIS-Import:2017-01-09:Pub.2016.tech.IMMD.IMMD5.improv{\_}5},
pages = {3269},
peerreviewed = {unknown},
title = {{Improving} {Parameter} {Mapping} in {MRI} {Relaxometry} and {Multi}-{Echo} {Dixon} {Using} an {Automated} {Spectral} {Denoising}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Lugauer16-IPM.pdf},
venue = {Singapur},
year = {2016}
}
@inproceedings{faucris.118747684,
author = {Berger, Martin and Sembritzki, Klaus and Hornegger, Joachim and Bauer, Christina},
booktitle = {2014 IEEE International Symposium on Biomedical Imaging},
faupublication = {yes},
isbn = {978-1-4673-1961-4},
keywords = {GRK-1773},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.increa{\_}2},
pages = {345-348},
title = {{Increasing} the {Credibility} of {MR} {Spectroscopy}-{Based} {Automatic} {Brain}-{Tumor} {Classification} {Systems}},
venue = {Beijing, China},
year = {2014}
}
@inproceedings{faucris.120279984,
author = {Fischer, Peter and Pohl, Thomas and Maier, Andreas and Hornegger, Joachim},
booktitle = {IGIC 2014 - Abstractband},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.increm{\_}6},
pages = {80-81},
title = {{Incremental} {Dimensionality} {Reduction} for {Respiratory} {Signal} {Extraction} {From} {X}-{Ray} {Sequences}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Fischer14-IDR.pdf},
venue = {Magdeburg},
year = {2014}
}
@article{faucris.110787864,
author = {Huang, Xiaolin and Maier, Andreas and Hornegger, Joachim and Suykens, Johan A. K.},
doi = {10.1016/j.acha.2016.09.001},
faupublication = {yes},
journal = {Applied and Computational Harmonic Analysis},
keywords = {indefinite kernel, LS-SVM, kPCA},
note = {UnivIS-Import:2017-12-18:Pub.2016.tech.IMMD.IMMD5.indefi},
peerreviewed = {Yes},
title = {{Indefinite} {Kernels} in {Least} {Squares} {Support} {Vector} {Machines} and {Principal} {Component} {Analysis}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang16-IKI.pdf},
year = {2016}
}
@article{faucris.113996344,
abstract = {Autofocusing is essential to high throughput microscopy and live cell imaging and requires reliable focus measures. Phase objects such as separated single Chinese hamster ovary cells are almost invisible at the optical focus position in bright field microscopy images. Because of the phase effect, defocused images of phase objects have more contrast. In this paper, we show that widely used focus measures exhibit an untypical behaviour for such images. In the case of homogeneous cells, that is, when most cells tend to lie in the same focal plane, both gradient-based and statistics-based focus measures tend to have a local minimum instead of a global maximum at the optical focus position. On the other hand, if images show inhomogeneous cells, gradient-based focus measures tend to yield typical focus curves, whereas statistics-based focus measures deliver curves similar to the case of homogeneous cells. These results were interpreted using the equation describing the phase effect and patch-wise analysis of the focus curves. Bioprocess engineering experts are also influenced by the phase effect. Forty-four focus positions selected by them led to the conclusion that they prefer to look at defocused images instead of those at the optical focus. © 2014 The Authors Journal of Microscopy © 2014 Royal Microscopical Society.},
author = {Schöll, Simon and Mualla, Firas and Sommerfeldt, Björn and Steidl, Stefan and Maier, Andreas and Buchholz, Rainer and Hornegger, Joachim},
doi = {10.1111/jmi.12118},
faupublication = {yes},
journal = {Journal of Microscopy},
keywords = {Bright field microscopy; Focus measures; Nontypical focus curves; Phase effect},
note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.influe},
pages = {65-74},
peerreviewed = {Yes},
title = {{Influence} of the phase effect on gradient-based and statistics-based focus measures in bright field microscopy},
volume = {254},
year = {2014}
}
@inproceedings{faucris.121406164,
author = {Haase, Sven and Köhler, Thomas and Kilgus, Thomas and Maier-Hein, Lena and Hornegger, Joachim and Feußner, Hubertus},
booktitle = {Computer- und Roboter Assistierte Chirurgie},
date = {2013-11-28},
editor = {Freysinger Wolfgang},
faupublication = {yes},
pages = {194-197},
title = {{Instrument} {Segmentation} in {Hybrid} 3-{D} {Endoscopy} using {Multi}-{Sensor} {Super}-{Resolution}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Haase13-ISI.pdf},
venue = {Innsbruck},
year = {2013}
}
@article{faucris.120186704,
abstract = {Background: In primary open angle glaucoma (POAG) and its non-barotraumatic subgroup, normal tension glaucoma (NTG), the pathophysiological differences are not clear. A participation of the 4th neuron of the visual pathway (optic radiation) appears possible on the basis of related experimental studies. The goal of the present study was the evaluation of the optic radiation by diffusion tensor imaging (DTI), which is based on the magnetic resonance imaging. The diffusion and anisotropy parameters of the optic radiation as a marker of axonal integrity and demyelination/damage of glial cells, respectively, were used to investigate the relation between the morphology of the papilla (BLDF, linear discriminant function of Burk) and the contrast sensitivity (FDT, frequency doubling test). Patients and Methods: In this prospective observational study 13 POAG patients, 13 NTG patients, and 7 control patients of the same mean age were included. For segmentation of the optic radiation a semi-automated algorithm was applied and the diffusion and anisotropy parameters were calculated. The importance of the covariates age, BLDF, and FDT for the DTI parameters was determined using partial correlation analysis. Results: Analysis of the covariates partially showed a clear autocorrelation. The correlations between the DTI parameters and BLDF were significant in all groups after correction of the measurement values for the covariates. FDT correlated with DTI parameters in controls and POAG. The NTG group did not show this correlation due to a strong spreading of the FDT values. Conclusion: After statistical elimination of the autocorrelation of the covariates age, BLDF, and FDT the morphology of the papilla correlated with the axonal integrity and demyelination/glia cell impairment of the optic radiation in controls and glaucoma. In NTG the impaired contrast sensitivity is highly variable and is not associated with the condition of the 3rd or 4th neuron, respectively, as compared to POAG. The autocorrelation between individual covariates represents an important element for the judgement of the visual pathway. © Georg Thieme Verlag KG · Stuttgart · New York.},
author = {Michelson, Georg and Wärntges, Simone and Engelhorn, Tobias and El-Rafei, Ahmed Mohamed Ibrahim and Hornegger, Joachim and Dörfler, Arnd},
doi = {10.1055/s-0031-1299262},
faupublication = {yes},
journal = {Klinische Monatsblätter für Augenheilkunde},
pages = {143-148},
peerreviewed = {Yes},
title = {{Integrity}/{Demyelination} of the optic radiation, morphology of the papilla, and contrast sensitivity in glaucoma patients},
volume = {229},
year = {2012}
}
@inproceedings{faucris.107961524,
address = {Berlin},
author = {Bouattour, Sahla and Heigl, Benno and Hornegger, Joachim and Paulus, Dietrich},
booktitle = {Bildverarbeitung für die Medizin 2004},
date = {2004-03-29/2004-03-30},
doi = {10.1007/978-3-642-18536-6{\_}83},
editor = {Tolxdorff T., Braun J., Handels H., Horsch A., Meinzer H.-P.},
faupublication = {yes},
pages = {405-409},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Intensity}-{Based} {3D}-{Reconstruction} of {Non}-rigid {Moving} {Stenosis} from {Many} {Angiographies}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2004/Bouattour04-IB3.pdf},
venue = {Berlin},
year = {2004}
}
@article{faucris.121355564,
author = {Hopfgartner, Christian and Scholz, Ingo and Gugat, Martin and Leugering, Günter and Hornegger, Joachim},
faupublication = {yes},
journal = {ICGST International Journal on Graphics, Vision and Image Processing},
pages = {27-37},
peerreviewed = {unknown},
title = {{Intensity}-based 3-{D} {Reconstruction} with {Non}-linear {Optimization}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Hopfgartner10-IRW.pdf},
volume = {10.0},
year = {2010}
}
@misc{faucris.109715804,
abstract = {New images of a three-dimensional scene can be generated from known image sequences using lightfields. To get high quality images, it is important to have accurate information about the structure of the scene. In order to optimize this information, we define a residual-function. This function represents the difference between an image, rendered in a known view from neighboured images and the original image at the same position. In order to get optimal results, we minimize the residual-function by defining a nonlinear least-squares problem, which is solved by an appropriate optimization method. We use a nonmonotone variant of the Levenberg-Marquardt method.},
author = {Hopfgartner, Christian and Scholz, Ingo and Gugat, Martin and Leugering, Günter and Hornegger, Joachim},
faupublication = {yes},
keywords = {Nonlinear Optimization; Imaging; Rendering; Nonmonotone Levenberg-Marquardt; 90C30; 68U10; 94A08},
peerreviewed = {automatic},
title = {{Intensity} based {Three}-{Dimensional} {Reconstruction} with {Nonlinear} {Optimization}},
url = {http://www.am.uni-erlangen.de/de/preprints2000.html},
year = {2007}
}
@inproceedings{faucris.120207604,
author = {Wittenberg, Thomas and Nkenke, Emeka and Hornegger, Joachim},
booktitle = {35th Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Informatik LIVE!, INFORMATIK 2005 35th Annual Conference of the German Informatics Society (GI): Informatics LIVE!, INFORMATIK 2005},
faupublication = {yes},
pages = {681.0},
peerreviewed = {unknown},
title = {{Interdisciplinary} research! {Was} it worthwhile?},
url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-84877320097&origin=inward},
venue = {Bonn},
volume = {2},
year = {2005}
}
@article{faucris.107376984,
author = {Fieselmann, Andreas and Ganguly, Arundhuti and Yu Deuerling-Zheng, and Zellerhoff, Maria and Rohkohl, Christopher and Boese, Jan and Hornegger, Joachim and Fahrig, Rebecca},
doi = {10.1109/TMI.2011.2181531},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
pages = {892-906},
peerreviewed = {Yes},
title = {{Interventional} 4-{D} {C}-{Arm} {CT} {Perfusion} {Imaging} {Using} {Interleaved} {Scanning} and {Partial} {Reconstruction} {Interpolation}},
volume = {31},
year = {2012}
}
@article{faucris.121188364,
abstract = {Anatomical and functional information of cardiac vasculature is a key component in the field of interventional cardiology. With the technology of C-arm CT it is possible to reconstruct static intraprocedural 3D images from angiographic projection data. Current approaches attempt to add the temporal dimension (4D). In the assumption of periodic heart motion, ECG-gating techniques can be used. However, arrhythmic heart signals and slight breathing motion are degrading image quality frequently.To overcome those problems, we present a reconstruction method based on a 4D time-continuous B-spline motion field. The temporal component of the motion field is parameterized by the acquisition time and does not assume a periodic heart motion. The analytic dynamic FDK-reconstruction formula is used directly for the motion estimation and image reconstruction.In a physical phantom experiment two vessels of size 3.1. mm and 2.3. mm were reconstructed using the proposed method and an algorithm with periodicity assumption. For a periodic motion both methods obtained an error of 0.1. mm. For a non-periodic motion the proposed method was superior, obtaining an error of 0.3. mm/0.2. mm in comparison to 1.2. mm/1.0. mm for the algorithm with periodicity assumption. For a clinical test case of a left coronary artery it could be further shown that the method is capable to produce diameter measurements with an absolute error of 0.1. mm compared to state-of-the-art measurement tools from orthogonal coronary angiography. Further, it is shown for three different clinical cases (left/right coronary artery, coronary sinus) that the proposed method is able to handle a large variability of vascular structures and motion patterns. The complete algorithm is hardware-accelerated using the GPU requiring a computation time of less than 3. min for typical clinical scenarios. © 2010 Elsevier B.V.},
author = {Rohkohl, Christopher and Lauritsch, G. and Biller, L. and Prümmer, Marcus and Boese, J. and Hornegger, Joachim},
doi = {10.1016/j.media.2010.05.003},
faupublication = {yes},
journal = {Medical Image Analysis},
pages = {687-694},
peerreviewed = {Yes},
title = {{Interventional} {4D} motion estimation and reconstruction of cardiac vasculature without motion periodicity assumption},
volume = {14},
year = {2010}
}
@book{faucris.121194964,
abstract = {Anatomical and functional information of cardiac vasculature is a key component of future developments in the field of interventional cardiology. With the technology of C-arm CT it is possible to reconstruct intraprocedural 3-D images from angiographic projection data. Current approaches attempt to add the temporal dimension (4-D) by ECG-gating in order to distinct physical states of the heart. This model assumes that the heart motion is periodic. However, frequently arrhytmic heart signals are observed in a clinical environment. In addition breathing motion can still occur. We present a reconstruction method based on a 4-D time-continuous motion field which is parameterized by the acquisition time and not the quasi-periodic heart phase. The output of our method is twofold. It provides a motion compensated 3-D reconstruction (anatomic information) and a motion field (functional information). In a physical phantom experiment a vessel of size 3.08 mm undergoing a non-periodic motion was reconstructed. The resulting diameters were 3.42 mm and 1.85 mm assuming non-periodic and periodic motion, respectively. Further, for two clinical cases (coronary arteries and coronary sinus) it is demonstrated that the presented algorithm outperforms periodic approaches and is able to handle realistic irregular heart motion. © 2009 Springer-Verlag.},
address = {Heidelberg},
author = {Rohkohl, Christopher and Lauritsch, Günter and Prümmer, Marcus and Hornegger, Joachim},
doi = {10.1007/978-3-642-04268-3{\_}17},
faupublication = {yes},
isbn = {978-3-642-04267-6},
note = {UnivIS-Import:2015-04-16:Pub.2009.tech.IMMD.IMMD5.interv},
pages = {132-139},
peerreviewed = {Yes},
publisher = {Springer-verlag},
series = {image reconstruction; motion estimation; motion compensation; dynamic reconstruction},
title = {{Interventional} 4-{D} {Motion} {Estimation} and {Reconstruction} of {Cardiac} {Vasculature} without {Motion} {Periodicity} {Assumption}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Rohkohl09-I4M.pdf},
volume = {Lecture Notes in Computer Science, 5761},
year = {2009}
}
@article{faucris.117702464,
abstract = {Today, quantitative analysis of three-dimensional (3D) dynamics of the left ventricle (LV) cannot be performed directly in the catheter lab using a current angiographic C-arm system, which is the workhorse imaging modality for cardiac interventions. Therefore, myocardial wall analysis is completely based on the 2D angiographic images or pre-interventional 3D/4D imaging. In this paper, we present a complete framework to study the ventricular wall motion in 4D (3D+t) directly in the catheter lab. From the acquired 2D projection images, a dynamic 3D surface model of the LV is generated, which is then used to detect ventricular dyssynchrony. Different quantitative features to evaluate LV dynamics known from other modalities (ultrasound, magnetic resonance imaging) are transferred to the C-arm CT data. We use the ejection fraction, the systolic dyssynchrony index a 3D fractional shortening and the phase to maximal contraction (φi, max) to determine an indicator of LV dyssynchrony and to discriminate regionally pathological from normal myocardium. The proposed analysis tool was evaluated on simulated phantom LV data with and without pathological wall dysfunctions. The LV data used is publicly available online at https://conrad.stanford.edu/data/heart. In addition, the presented framework was tested on eight clinical patient data sets. The first clinical results demonstrate promising performance of the proposed analysis tool and encourage the application of the presented framework to a larger study in clinical practice. © 2014 Institute of Physics and Engineering in Medicine.},
author = {Müller, Kerstin and Maier, Andreas and Zheng, Yefeng and Wang, Yang and Lauritsch, Günter and Schwemmer, Chris and Rohkohl, Christopher and Hornegger, Joachim and Fahrig, Rebecca},
doi = {10.1088/0031-9155/59/9/2265},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
keywords = {C-arm CT; cardiac dynamics; functional imaging; interventional imaging; wall motion analysis},
note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.interv},
pages = {2265-2294},
peerreviewed = {Yes},
title = {{Interventional} heart wall motion analysis with cardiac {C}-arm {CT} systems},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Mueller14-IHW.pdf},
volume = {59},
year = {2014}
}
@inproceedings{faucris.120188244,
abstract = {Magnetic Resonance Imaging (MRI) has several unique advantages for guiding thermal ablation therapies. It not only provides excellent soft-tissue contrast and multiplanar capabilities, but also is sensitive to thermal effects. To make full use of these advantages for thermal ablation procedures, we present an integrated solution for a thermal therapy workflow that combines dedicated MRI pulse sequences and visualization/analysis tools for trajectory planning, automatic slice positioning for image-guided needle placement, and advanced MR thermal mapping. The paper highlights a novel approach to detect the needle in real-time MR images and to automatically realign the scan planes. In addition, a global approach to correct for B field shift during online MR thermometry is introduced. The application has been implemented using the open-source eXtensible Imaging Platform (XIP). © 2011 IEEE.},
author = {Rothgang, Eva and Gilson, Wesley D. and Strehl, Wilhelm and Pan, Li and Roland, Jörg and Lorenz, Christine H. and Hornegger, Joachim},
booktitle = {2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11},
doi = {10.1109/ISBI.2011.5872771},
faupublication = {yes},
pages = {1864-1868},
peerreviewed = {unknown},
title = {{Interventional} {MR}-imaging for thermal ablation therapy},
venue = {Chicago, IL},
volume = {null},
year = {2011}
}
@article{faucris.114461864,
author = {Fieselmann, Andreas and Hornegger, Joachim and Fahrig, Rebecca and Deuerling-Zheng, Yu and Zellerhoff, Michael and Boese, Jan and Ganguly, Arundhuti and Rohkohl, Christopher},
doi = {10.1055/s-002-23729},
faupublication = {yes},
journal = {RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren},
note = {UnivIS-Import:2016-02-10:Pub.2012.tech.IMMD.IMMD5.interv{\_}2},
pages = {867},
peerreviewed = {Yes},
title = {{Interventionelle} 4-dimensionale {Darstellung} der {Hirnperfusion}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Fieselmann12-I4D.pdf},
year = {2012}
}
@book{faucris.121195404,
abstract = {The automation and speedup of interventional therapy and diagnostic workflows is a crucial issue. One way to improve these workflows is to accelerate the image acquisition procedures by fully automating the patient setup. This paper describes a system that performs this task without the use of markers or other prior assumptions. It returns metric coordinates of the 3-D body shape in real-time for inverse positioning. This is achieved by the application of an emerging technology, called Time-of-Flight (ToF) sensor. A ToF sensor is a cost-efficient, off-the-shelf camera which provides more than 40,000 3-D points in real-time. The first contribution of this paper is the incorporation of this novel imaging technology (ToF) in interventional imaging. The second contribution is the ability of a C-arm system to position itself with respect to the patient prior to the acquisition. We are using the 3-D surface information of the patient to partition the body into anatomical sections. This is achieved by a fast two-stage classification process. The system computes the ISO-center for each detected region. To verify our system we performed several tests on the ISO-center of the head. Firstly, the reproducibility of the head ISO-center computation was evaluated. We achieved an accuracy of (x: 1.73±1.11 mm/y: 1.87±1.31 mm/z: 2.91±2.62 mm). Secondly, a C-arm head scan of a body phantom was setup. Our system automatically aligned the ISO-center of the head with the C-arm ISO-center. Here we achieved an accuracy of ± 1 cm, which is within the accuracy of the patient table control. © 2009 Springer-Verlag.},
address = {Berlin - Heidelberg},
author = {Schaller, Christian and Rohkohl, Christopher and Penne, Jochen and Stürmer, Michael and Hornegger, Joachim},
doi = {10.1007/978-3-642-04268-3{\_}68},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2009.tech.IMMD.IMMD5.invers{\_}6},
pages = {549-556},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Inverse} {C}-arm positioning for interventional procedures using real-time body part detection},
volume = {null},
year = {2009}
}
@inproceedings{faucris.107367524,
author = {Hutter, Jana and Grimm, Robert and Forman, Christoph and Hornegger, Joachim and Schmitt, Peter},
booktitle = {Magnetic Resonance Materials in Physics, Biology and Medicine},
date = {2011-10-06/2011-10-08},
faupublication = {yes},
pages = {92-93},
peerreviewed = {unknown},
publisher = {Springer-Verlag},
title = {{Inverse} root sampling pattern for iterative reconstruction in non-{CE} {MR} angiography},
venue = {Leipzig},
year = {2011}
}
@inproceedings{faucris.121792924,
abstract = {Hemodynamic parameters based on the temporal behavior of contrast agent flow in cerebral aneurysms represent important indicators of the effectiveness of deployed micro devices. These measurements are also interesting for the assessment of virtual treatment planning strategies such as virtual device implantation combined with CFD simulations of blood flow and subsequently generated synthetic angiograms (virtual angiography). Due to settlement effects, contrast agent residence time may increase. As of today, virtual angiography does not explicitly model these effects such that differences between real and virtual angiograms are existent. Hence, we present an approach to examine this contrast agent settlement in virtual angiograms by adding a gravitational effect on simulated contrast agent. The model is evaluated on several cases with different characteristics by generating virtual angiograms with and without the proposed gravity model and comparisons against acquired, real angiograms. Primarily with regards to wash-out behavior and residence time, virtual angiograms including a gravity component show a significantly improved concordance with acquired angiograms.},
address = {Berlin},
author = {Endres, Jürgen and Redel, Thomas and Kowarschik, Markus and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin: Algorithmen, Systeme, Anwendungen},
date = {2014-03-16/2014-03-18},
doi = {10.1007/978-3-642-54111-7{\_}53},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.invest{\_}8},
pages = {282-287},
publisher = {Springer-Verlag},
title = {{Investigating} {Contrast} {Settlement} {Using} {Virtual} {Angiography}},
venue = {Aachen},
year = {2014}
}
@article{faucris.121156024,
abstract = {Purpose: The authors have developed a method to enable cerebral perfusion CT imaging using C-Arm based conebeam CT (CBCT). This allows intraprocedural monitoring of brain perfusion during treatment of stroke. Briefly, the technique consists of acquiring multiple scans (each scan comprised of six sweeps) acquired at different time delays with respect to the start of the x-ray contrast agent injection. The projections are then reconstructed into angular blocks and interpolated at desired time points. The authors have previously demonstrated its feasibility in vivo using an animal model. In this paper, the authors describe an in vitro technique to evaluate the accuracy of their method for measuring the relevant temporal signals. Methods: The authors' evaluation method is based on the concept that any temporal signal can be represented by a Fourier series of weighted sinusoids. A sinusoidal phantom was developed by varying the concentration of iodine as successive steps of a sine wave. Each step corresponding to a different dilution of iodine contrast solution contained in partitions along a cylinder. By translating the phantom along the axis at different velocities, sinusoidal signals at different frequencies were generated. Using their image acquisition and reconstruction algorithm, these sinusoidal signals were imaged with a C-Arm system and the 3D volumes were reconstructed. The average value in a slice was plotted as a function of time. The phantom was also imaged using a clinical CT system with 0.5 s rotation. C-Arm CBCT results using 6, 3, 2, and 1 scan sequences were compared to those obtained using CT. Data were compared for linear velocities of the phantom ranging from 0.6 to 1 cms. This covers the temporal frequencies up to 0.16 Hz corresponding to a frequency range within which 99 of the spectral energy for all temporal signals in cerebral perfusion imaging is contained. Results: The errors in measurement of temporal frequencies are mostly below 2 for all multiscan sequences. For single scan sequences, the errors increase sharply beyond 0.10 Hz. The amplitude errors increase with frequency and with decrease in the number of scans used. Conclusions: Our multiscan perfusion CT approach allows low errors in signal frequency measurement. Increasing the number of scans reduces the amplitude errors. A two-scan sequence appears to offer the best compromise between accuracy and the associated total x-ray and iodine dose. © 2012 American Association of Physicists in Medicine.},
author = {Ganguly, A. and Fieselmann, Andreas and Boese, J. and Rohkohl, Christopher and Hornegger, Joachim and Fahrig, R.},
doi = {10.1118/1.4757910},
faupublication = {yes},
journal = {Medical Physics},
pages = {6652-6659},
peerreviewed = {Yes},
title = {{In} vitro evaluation of the imaging accuracy of {C}-{Arm} conebeam {CT} in cerebral perfusion imaging},
volume = {39},
year = {2012}
}
@inproceedings{faucris.118422524,
author = {Groch, Anja and Hempel, Sarah-Marie and Speidel, Stefanie and Höller, Kurt Emmerich and Engelbrecht, Rainer and Penne, Jochen and Seitel, Alexander and Röhl, Sebastian and Yung, Kwong and Bodenstedt, Sebastian and Pflaum, Felix and Kilgus, Thomas and Meinzer, Stefan and Hornegger, Joachim and Maier-Hein, Lena},
booktitle = {Workshop Bildverarbeitung für die Medizin},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2011.tech.IE.LEH.invitr},
pages = {184-188},
peerreviewed = {unknown},
title = {{In}-vitro {Evaluation} von endoskopischer {Oberflächenrekonstruktion} mittels {Time}-of-{Flight}-{Kameratechnik}},
venue = {Lübeck},
year = {2011}
}
@article{faucris.121154044,
abstract = {Swept source/Fourier domain OCT is demonstrated for in vivo imaging of the rodent eye. Using commercial swept laser technology, we developed a prototype OCT imaging system for small animal ocular imaging operating in the 1050 nm wavelength range at an axial scan rate of 100 kHz with ~6 μm axial resolution. The high imaging speed enables volumetric imaging with high axial scan densities, measuring high flow velocities in vessels, and repeated volumetric imaging over time. The 1050 nm wavelength light provides increased penetration into tissue compared to standard commercial OCT systems at 850 nm. The long imaging range enables multiple operating modes for imaging the retina, posterior eye, as well as anterior eye and full eye length. A registration algorithm using orthogonally scanned OCT volumetric data sets which can correct motion on a per A-scan basis is applied to compensate motion and merge motion corrected volumetric data for enhanced OCT image quality. Ultrahigh speed swept source OCT is a promising technique for imaging the rodent eye, proving comprehensive information on the cornea, anterior segment, lens, vitreous, posterior segment, retina and choroid. © 2013 Optical Society of America.},
author = {Liu, Jonathan J. and Grulkowski, Ireneusz and Kraus, Martin and Potsaid, Benjamin and Lu, Chen D. and Baumann, Bernhard and Duker, Jay S. and Hornegger, Joachim and Fujimoto, James G.},
doi = {10.1364/BOE.4.000351},
faupublication = {yes},
journal = {Biomedical Optics Express},
pages = {351-363},
peerreviewed = {Yes},
title = {{In} vivo imaging of the rodent eye with swept source/{Fourier} domain {OCT}},
volume = {4},
year = {2013}
}
@article{faucris.122514084,
author = {Wang, Bo and Nevins, Jessica E. and Nadler, Zach and Wollstein, Gadi and Ishikawa, Hiroshi and Bilonick, Richard A. and Kagemann, Larry and Sigal, Ian A. and Grulkowski, Ireneusz and Liu, Jonathan J. and Kraus, Martin and Lu, Chen D. and Hornegger, Joachim and Fujimoto, James G. and Schuman, Joel S.},
doi = {10.1167/iovs.13-13109},
faupublication = {yes},
journal = {Investigative Ophthalmology & Visual Science},
keywords = {lamina cribrosa;optical coherence tomography;glaucoma},
pages = {8270-8274},
peerreviewed = {Yes},
title = {{In} {Vivo} {Lamina} {Cribrosa} {Micro}-{Architecture} in {Healthy} and {Glaucomatous} {Eyes} as {Assessed} by {Optical} {Coherence} {Tomography}},
volume = {54},
year = {2013}
}
@inproceedings{faucris.107007164,
author = {Wetzl, Jens and Schmidt, Michaela and Zenge, Michael O. and Lugauer, Felix and Lazar, Laszlo and Nadar, Mariappan and Maier, Andreas and Hornegger, Joachim and Forman, Christoph},
booktitle = {Proceedings of the 23rd Annual Meeting of the ISMRM (ISMRM 2015)},
faupublication = {yes},
note = {UnivIS-Import:2015-07-08:Pub.2015.tech.IMMD.IMMD5.isotro},
pages = {1011},
title = {{Isotropic} 3-{D} {CINE} {Imaging} with {Sub}-2mm {Resolution} in a {Single} {Breath}-{Hold}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Wetzl15-I3C.pdf},
venue = {Toronto, Canada},
year = {2015}
}
@article{faucris.120206724,
abstract = {Rationale and Objectives. A statistical based iterative single-photon emission-computed tomography (SPECT) reconstruction algorithm (OSEM) modeling the depth-dependent collimator response in three dimensions has recently been introduced (OSEM3D). The aim of this study was to evaluate the axial shape fidelity of OSEM3D in comparison to OSEM, not taking this variable into account (OSEM2D). Materials and Methods. SPECT and separate spiral CT were performed in a phantom containing spheres filled with In-111. In-111-pentetreotide-SPECT and separate spiral-CT imaging were also performed in 22 patients with neuroendocrine tumors. Using window settings adapting the transversal size of the SPECT hot spots to that on CT and the 50% isocontour as boundary, the three-dimensional extensions (dx, dy, dz) of the SPECT representation of the structures under study were measured. These variables were also determined for CT. Furthermore, an index of eccentricity was calculated by averaging the ratios between dz and dx and dz and dy (IE). For isotropically imaged spheres, IE is 1. Results. For OSEM2D, IE was significantly different from 1 in the phantom data (P < .05); this was not the case for OSEM3D and CT. This finding was accounted for by a significantly greater dz on the OSEM2D-SPECT images. In the patient data, dz was by approximately 15.5% greater for OSEM2D than for the other two modalities (P < .05). Conclusions. The use of OSEM3D avoids deformation of hot SPECT lesions in z-direction. This may be of particular importance in SPECT/CT hybrid imaging capitalizing on the exact match of both modalities. © AUR, 2006.},
author = {Römer, Wolfgang and Reichel, Nicky and Vija, Hans and Nickel, Ingo and Hornegger, Joachim and Bautz, Werner and Kuwert, Torsten},
doi = {10.1016/j.acra.2005.12.004},
faupublication = {yes},
journal = {Academic Radiology},
pages = {496-502},
peerreviewed = {Yes},
title = {{Isotropic} reconstruction of {SPECT} data using {OSEM3D}: {Correlation} with {CT}},
volume = {13},
year = {2006}
}
@inproceedings{faucris.107869784,
author = {Wu, Haibo and Maier, Andreas and Hornegger, Joachim},
booktitle = {Proceedings des Workshops Bildverarbeitung für die Medizin 2013},
date = {2013-03-04},
editor = {Meinzer Hans-Peter, Deserno Thomas, Handels Heinz, Tolxdorff Thomas},
faupublication = {yes},
pages = {229-234},
title = {{Iterative} {CT} {Reconstruction} {Using} {Curvelet}-{Based} {Regularization}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Wu13-ICR.pdf},
venue = {Heidelberg},
year = {2013}
}
@inproceedings{faucris.123932204,
abstract = {Over the last few years, iterative reconstruction methods have become an important research topic in x-ray CT imaging. This effort is motivated by increasing evidence that such methods may enable significant savings in terms of dose imparted to the patient. Conceptually, iterative reconstruction methods involve two important ingredients: the statistical model, which includes the forward projector, and a priori information in the image domain, which is expressed using a regularizer. Most often, the image pixel size is chosen to be equal (or close) to the detector pixel size (at field-of-view center). However, there are applications for which a smaller pixel size is desired. In this investigation, we focus on reconstruction with a pixel size that is twice smaller than the detector pixel size. Using such a small pixel size implies a large increase in computational effort when using the distance-driven method for forward projection, which models the detector size. On the other hand, the more efficient method of Joseph will create imbalances in the reconstruction of each pixel, in the sense that there will be large differences in the way each projection contributes to the pixels. The purpose of this work is to evaluate the impact of these imbalances on image quality in comparison with utilization of the distance-driven method. The evaluation involves computational effort, bias and noise metrics, and LROC analysis using human observers. The results show that Joseph's method largely remains attractive.},
author = {Hahn, K. and Rassner, U. and Davidson, H. C. and Sehoendube, H. and Stierstorfer, K. and Hornegger, Joachim and Noo, F.},
booktitle = {Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94123D (March 18, 2015)},
doi = {10.1117/12.2079286},
faupublication = {yes},
month = {Jan},
peerreviewed = {unknown},
publisher = {International Society for Optical Engineering; 1999},
title = {{Iterative} {CT} reconstruction with small pixel size: distance-driven forward projector versus {Joseph}'s},
volume = {9412},
year = {2015}
}
@inproceedings{faucris.118692904,
author = {Hutter, Jana and Grimm, Robert and Ciocan, Monica and Hornegger, Joachim and Schmitt, Peter},
booktitle = {Proceedings of the annual conference of the ESMRMB},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD5.iterat{\_}17},
pages = {460},
title = {{Iterative} {Multi}-{Slice} {Compressed} {Sensing} {Reconstruction} for {Peripheral} {MRA}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Hutter13-IMC.pdf},
venue = {Toulouse},
year = {2013}
}
@inproceedings{faucris.107888704,
author = {Schmitt, Katharina and Noo, Frédéric and Hornegger, Joachim and Stierstorfer, Karl and Schöndube, Harald},
booktitle = {2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)},
date = {2012-10-27/2012-11-03},
editor = {Bo Yu},
faupublication = {yes},
pages = {M17-56},
peerreviewed = {unknown},
title = {{Iterative} reconstruction using a pyramid-shaped basis function},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Schmitt12-IRU.pdf},
venue = {Anaheim, CA},
year = {2012}
}
@inproceedings{faucris.109443884,
author = {Wetzl, Jens and Stalder, Aurélien F. and Schmidt, Michaela and Akgök, Yigit H. and Tillmanns, Christoph and Lugauer, Felix and Forman, Christoph and Hornegger, Joachim and Maier, Andreas},
booktitle = {Lecture Notes in Computer Science},
faupublication = {yes},
isbn = {978-3-319-46719-1},
note = {UnivIS-Import:2017-01-09:Pub.2016.tech.IMMD.IMMD5.jointe},
pages = {527-535},
peerreviewed = {unknown},
series = {Lecture Notes in Computer Science},
title = {{Joint} {Estimation} of {Cardiac} {Motion} and {T1}* {Maps} for {Magnetic} {Resonance} {Late} {Gadolinium} {Enhancement} {Imaging}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Wetzl16-JEO.pdf},
venue = {Athens, Greece},
year = {2016}
}
@article{faucris.121413644,
author = {Berkels, Benjamin and Bauer, Sebastian and Ettl, Svenja and Arold, Oliver and Hornegger, Joachim and Rumpf, Martin},
doi = {10.1118/1.4816675},
faupublication = {yes},
journal = {Medical Physics},
pages = {091703 1-10},
peerreviewed = {Yes},
title = {{Joint} {Surface} {Reconstruction} and {4D} {Deformation} {Estimation} from {Sparse} {Data} and {Prior} {Knowledge} for {Marker}-{Less} {Respiratory} {Motion} {Tracking}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Berkels13-JSR.pdf},
volume = {40},
year = {2013}
}
@inproceedings{faucris.118773644,
author = {Bauer, Sebastian and Berkels, Benjamin and Hornegger, Joachim and Rumpf, Martin},
booktitle = {International Conference on Scale Space and Variational Methods in Computer Vision (SSVM)},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2011.tech.IMMD.IMMD5.jointt},
pages = {98-109},
peerreviewed = {unknown},
title = {{Joint} {ToF} {Image} {Denoising} and {Registration} with a {CT} {Surface} in {Radiation} {Therapy}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Bauer11-JTI.pdf},
venue = {Ein-Gedi, The Dead Sea, Israel},
volume = {6667},
year = {2011}
}
@book{faucris.107384904,
abstract = {The management of intra-fractional respiratory motion is becoming increasingly important in radiation therapy. Based on in advance acquired accurate 3D CT data and intra-fractionally recorded noisy time-of-flight (ToF) range data an improved treatment can be achieved. In this paper, a variational approach for the joint registration of the thorax surface extracted from a CT and a ToF image and the denoising of the ToF image is proposed. This enables a robust intra-fractional full torso surface acquisition and deformation tracking to cope with variations in patient pose and respiratory motion. Thereby, the aim is to improve radiotherapy for patients with thoracic, abdominal and pelvic tumors. The approach combines a Huber norm type regularization of the ToF data and a geometrically consistent treatment of the shape mismatch. The algorithm is tested and validated on synthetic and real ToF/CT data and then evaluated on real ToF data and 4D CT phantom experiments. © 2012 Springer-Verlag.},
author = {Bauer, Sebastian and Berkels, Benjamin and Hornegger, Joachim and Rumpf, Martin},
doi = {10.1007/978-3-642-24785-9{\_}9},
faupublication = {yes},
pages = {98-109},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Joint} {ToF} image denoising and registration with a {CT} surface in radiation therapy},
volume = {null},
year = {2012}
}
@inproceedings{faucris.122319604,
author = {Taubmann, Oliver and Lauritsch, Günter and Maier, Andreas and Fahrig, Rebecca and Hornegger, Joachim},
booktitle = {Proceedings of the 13th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine},
faupublication = {yes},
note = {UnivIS-Import:2015-07-08:Pub.2015.tech.IMMD.IMMD5.keepin},
pages = {532-535},
title = {{Keeping} the {Pace}: {Heart} {Rate} {Informed} 3-{D} {Motion} {Detection} for {Adaptive} {Temporal} {Smoothing}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Taubmann15-KTP.pdf},
venue = {Newport, Rhode Island, USA},
year = {2015}
}
@article{faucris.203364646,
author = {Rausch, Johannes and Maier, Andreas and Fahrig, Rebecca and Choi, Jang-Hwan and Hinshaw, Waldo and Schebesch, Frank and Haase, Sven and Wasza, Jakob and Hornegger, Joachim and Riess, Christian},
doi = {10.1155/2016/2502486},
faupublication = {yes},
journal = {International Journal of Biomedical Imaging},
pages = {2502486:1-15},
peerreviewed = {Yes},
title = {{Kinect}-{Based} {Correction} of {Overexposure} {Artifacts} in {Knee} {Imaging} with {C}-{Arm} {CT} {Systems}},
url = {http://downloads.hindawi.com/journals/ijbi/2016/2502486.pdf},
volume = {2016},
year = {2016}
}
@article{faucris.108169204,
author = {Kuwert, Torsten and Römer, Wolfgang and Hornegger, Joachim},
faupublication = {yes},
journal = {Herz},
pages = {122-128},
peerreviewed = {Yes},
title = {{Korrelative} {Bildgebung} in der {Kardiologie}; {Theoretische} {Ansätze} und klinische {Anwendung}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Kuwert07-KBI.pdf},
volume = {32.0},
year = {2007}
}
@inproceedings{faucris.121433004,
address = {Goslar, Germany},
author = {Gaffling, Simone and Daum, Volker and Hornegger, Joachim},
booktitle = {VMV 2011: Vision, Modeling & Visualization},
date = {2011-10-04/2011-10-06},
doi = {10.2312/PE/VMV/VMV11/309-316},
editor = {Eisert Peter, Hornegger Joachim, Polthier Konrad},
faupublication = {yes},
pages = {309-316},
peerreviewed = {unknown},
publisher = {Eurographics Association},
title = {{Landmark}-constrained 3-{D} {Histological} {Imaging}: {A} {Morphology}-preserving {Approach}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Gaffling11-L3H.pdf},
venue = {Berlin},
year = {2011}
}
@inproceedings{faucris.120174824,
abstract = {Minimally invasive procedures are of importance in modern surgery due to reduced operative trauma and recovery time. To enable robot assisted interventions, automatic tracking of endoscopie tools is an essential task. State-of-the-art techniques rely on 2-D color information only which is error prone for varying illumination and unpredictable color distribution within the human body. In this paper, we use a novel 3-D Time-of-Flight/RGB endoscope that allows to use both color and range information to locate laparoscopic instruments in 3-D. Regarding color and range information the proposed technique calculates a score to indicate which information is more reliable and adopts the next steps of the localization procedure based on this reliability. In experiments on real data the tool tip is located with an average 3-D distance error of less than 4 mm compared to manually labeled ground truth data with a frame-rate of 10 fps. © 2013 IEEE.},
author = {Haase, Sven and Wasza, Jakob and Kilgus, Thomas and Hornegger, Joachim},
booktitle = {2013 IEEE Workshop on Applications of Computer Vision, WACV 2013},
doi = {10.1109/WACV.2013.6475053},
faupublication = {yes},
pages = {449-454},
peerreviewed = {Yes},
title = {{Laparoscopic} instrument localization using a 3-{D} {Time}-of-{Flight}/{RGB} endoscope},
venue = {Clearwater Beach, FL},
volume = {null},
year = {2013}
}
@book{faucris.120207164,
abstract = {The need for non-rigid multi-modal registration is becoming increasingly common for many clinical applications. To date, however, existing proposed techniques remain as largely academic research effort with very few methods being validated for clinical product use. It has been suggested by Crum et al. [1] that the context-free nature of these methods is one of the main limitations and that moving towards context-specific methods by incorporating prior knowledge of the underlying registration problem is necessary to achieve registration results that are accurate and robust enough for clinical applications. In this paper, we propose a novel non-rigid multi-modal registration method using a variational formulation that incorporates a prior learned joint intensity distribution. The registration is achieved by simultaneously minimizing the Kullback-Leibler divergence between an observed and a learned joint intensity distribution and maximizing the mutual information between reference and alignment images. We have applied our proposed method on both synthetic and real images with encouraging results. © Springer-Verlag Berlin Heidelberg 2005.},
address = {Berlin/Heidelberg},
author = {Gütter, Christoph and Xu, Chenyang and Sauer, Frank and Hornegger, Joachim},
doi = {10.1007/11566489{\_}32},
faupublication = {yes},
isbn = {3-540-29326-4},
note = {UnivIS-Import:2015-04-16:Pub.2005.tech.IMMD.IMMD5.learni},
pages = {255-262},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Learning} based non-rigid multi-modal image registration using {Kullback}-{Leibler} divergence},
volume = {2},
year = {2005}
}
@inproceedings{faucris.120193304,
abstract = {Disorders of the heart valves constitute a considerable health problem and often require surgical intervention. Recently various approaches were published seeking to overcome the shortcomings of current clinical practice,that still relies on manually performed measurements for performance assessment. Clinical decisions are still based on generic information from clinical guidelines and publications and personal experience of clinicians. We present a framework for retrieval and decision support using learning based discriminative distance functions and visualization of patient similarity with relative neighborhood graphsbased on shape and derived features. We considered two learning based techniques, namely learning from equivalence constraints and the intrinsic Random Forest distance. The generic approach enables for learning arbitrary user-defined concepts of similarity depending on the application. This is demonstrated with the proposed applications, including automated diagnosis and interventional suitability classification, where classification rates of up to 88.9% and 85.9% could be observed on a set of valve models from 288 and 102 patients respectively. © 2010 Copyright SPIE - The International Society for Optical Engineering.},
author = {Voigt, Ingmar and Vitanovski, Dime and Ionasec, Razvan Ioan and Tsymbal, Alexey and Georgescu, Bogdan and Zhou, S. Kevin and Huber, Martin and Navab, Nassir and Hornegger, Joachim and Comaniciu, Dorin},
booktitle = {Medical Imaging 2010: Image Processing},
doi = {10.1117/12.843972},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Learning} discriminative distance functions for valve retrieval and improved decision support in valvular heart disease},
venue = {San Diego, CA},
volume = {7623},
year = {2010}
}
@inproceedings{faucris.121179564,
abstract = {Congenital heart defect (CHD) is the most common birth defect and a frequent cause of death for children. Tetralogy of Fallot (ToF) is the most often occurring CHD which affects in particular the pulmonary valve and trunk. Emerging interventional methods enable percutaneous pulmonary valve implantation, which constitute an alternative to open heart surgery. While minimal invasive methods become common practice, imaging and non-invasive assessment tools become crucial components in the clinical setting. Cardiac computed tomography (CT) and cardiac magnetic resonance imaging (cMRI) are techniques with complementary properties and ability to acquire multiple non-invasive and accurate scans required for advance evaluation and therapy planning. In contrary to CT which covers the full 4D information over the cardiac cycle, cMRI often acquires partial information, for example only one 3D scan of the whole heart in the end-diastolic phase and two 2D planes (long and short axes) over the whole cardiac cycle. The data acquired in this way is called sparse cMRI. In this paper, we propose a regression-based approach for the reconstruction of the full 4D pulmonary trunk model from sparse MRI. The reconstruction approach is based on learning a distance function between the sparse MRI which needs to be completed and the 4D CT data with the full information used as the training set. The distance is based on the intrinsic Random Forest similarity which is learnt for the corresponding regression problem of predicting coordinates of unseen mesh points. Extensive experiments performed on 80 cardiac CT and MR sequences demonstrated the average speed of 10 seconds and accuracy of 0.1053mm mean absolute error for the proposed approach. Using the case retrieval workflow and local nearest neighbour regression with the learnt distance function appears to be competitive with respect to "black box" regression with immediate prediction of coordinates, while providing transparency to the predictions made. © 2011 SPIE.},
author = {Vitanovski, Dime and Tsymbal, Alexey and Ionasec, Razvan and Georgescu, Bogdan and Zhou, Shaohua K. and Hornegger, Joachim and Comaniciu, Dorin},
booktitle = {Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling},
doi = {10.1117/12.878195},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Learning} distance function for regression-based {4D} pulmonary trunk model reconstruction estimated from sparse {MRI} data},
venue = {Lake Buena Vista, FL},
volume = {7964},
year = {2011}
}
@inproceedings{faucris.121324544,
address = {-},
author = {Denzler, Joachim and Beß, Rüdiger and Hornegger, Joachim and Niemann, Heinrich and Paulus, Dietrich},
booktitle = {International Conference on Intelligent Robots and Systems},
date = {1994-09-12/1994-09-16},
doi = {10.1109/IROS.1994.407405},
editor = {-},
faupublication = {yes},
pages = {89-96},
peerreviewed = {unknown},
publisher = {-},
title = {{Learning}, {Tracking} and {Recognition} of {3D} {Objects}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1994/Denzler94-LTA.pdf},
venue = {München},
year = {1994}
}
@inproceedings{faucris.122496484,
abstract = {In interventional cardiology, three-dimensional anatomical and functional information of the cardiac chambers, e.g. the left ventricle, would have an important impact on diagnosis and therapy. With the technology of C-arm CT it is possible to reconstruct intraprocedural 3-D images from angiographic projection data. Due to the long acquisition time of several seconds, motion-related artifacts, like blurring or streaks, occur. Therefore, the heart dynamics need to be taken into account in order to improve the reconstruction results. When it comes to the evaluation of different motion estimation and compensation algorithms and techniques of motion analysis, there is still a lack of comparability of the final reconstructions and motion parameters between the research groups. Since the results are heavily dependent on the applied motion pattern and simulation parameters, the experiments are not reproducible. We try to overcome these problems by providing varying left heart ventricle phantom datasets, consisting of projection images as well as extracted surface meshes. Up to now, there are six different datasets available: one with a normal sinus rhythm, one with a normal sinus rhythm and a catheter, one with a lateral wall defect of the ventricle, two with a lateral contraction phase shift and one without any motion. The existing datasets are based on a phantom similar to the 4D XCAT phantom with a contrasted left ventricle, myocardium, and aorta. The geometry calibration and acquisition protocol from a real clinical C-arm scanner are used. A webpage is provided where the data and the necessary files are publicly available for download at conrad.stanford.edu/data/heart. © 2013 IEEE.},
author = {Müller, Kerstin and Maier, Andreas and Fischer, Peter and Bier, Bastian and Lauritsch, Günter and Schwemmer, Chris and Fahrig, Rebecca and Hornegger, Joachim},
booktitle = {2013 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)},
date = {2013-10-27/2013-11-02},
doi = {10.1109/NSSMIC.2013.6829255},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD5.leftve{\_}0},
title = {{Left} {Ventricular} {Heart} {Phantom} for {Wall} {Motion} {Analysis}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Mueller13-LVH.pdf},
venue = {Seoul, South Korea},
year = {2013}
}
@inproceedings{faucris.120325964,
address = {-},
author = {Paulus, Dietrich and Hornegger, Joachim and Csink, Laszlo},
booktitle = {8. Workshop Farbbildverarbeitung},
date = {2002-10-10/2002-10-11},
editor = {Franke K.-H.},
faupublication = {yes},
pages = {3-10},
peerreviewed = {unknown},
publisher = {-},
title = {{Linear} approximation of sensitivity curve calibration},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2002/Paulus02-LAO.pdf},
venue = {Ilmenau},
year = {2002}
}
@article{faucris.121225764,
abstract = {Due to the loss of range information, projections as input data for a 3-D object recognition algorithm are expected to increase the computational complexity. In this work, however, we demonstrate that this deficiency carries potential for complexity reduction of major vision problems. We show that projections provide a reduction of feature dimensions, and lead to structures exhibiting simple combinatorial properties. The theoretical framework is embedded in a probabilistic setting which deals with uncertainties and variations of observed features. In statistics marginal densities and the assumption of independency prove to be the key tools when one encounters projections. The examples discussed in this paper include feature matching, pose estimation as well as classification of 3-D objects. The final experimental evaluation demonstrates the practical importance of the marginalization concept and independency assumptions. © 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.},
author = {Hornegger, Joachim and Welker, Volkmar and Niemann, Heinrich},
doi = {10.1016/S0031-3203(01)00122-4},
faupublication = {yes},
journal = {Pattern Recognition},
pages = {1225-1235},
peerreviewed = {Yes},
title = {{Localization} and classification based on projections},
volume = {35},
year = {2002}
}
@inproceedings{faucris.120197484,
abstract = {In X-ray Computed Tomography (CT) the measured projections and consequently the reconstructed CT images are subject to quantum and electronics noise. While noise in the projections can be well described and estimated with a corresponding physics model, the distribution of noise in the reconstructed CT images is not directly evident. Due to attenuation variations along different directions, the nature of noise in CT images is non-stationary and non-isotropic. This complicates the direct application of standard post-processing methods like bilateral filtering. In this article we describe a possibility to compute precise orientation dependent noise estimates for every pixel position. This is done by analytic propagation of projection noise estimates through indirect fan-beam filtered backprojection reconstruction. The resulting orientation dependent image noise estimates are subsequently used in adaptive bilateral filters. Taking into account the non-stationary and non-isotropic nature of noise in CT images, a reduction in image noise of about 55% compared to 39% of the standard approach is achieved with much less variability over different image regions. ©2009 IEEE.},
author = {Borsdorf, Anja and Kappler, Steffen and Raupach, Rainer and Noo, Frederic and Hornegger, Joachim},
booktitle = {2009 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2009},
doi = {10.1109/NSSMIC.2009.5402090},
faupublication = {yes},
pages = {2472-2475},
peerreviewed = {unknown},
title = {{Local} orientation-dependent noise propagation for anisotropic denoising of {CT}-{Images}},
venue = {Orlando, FL},
volume = {null},
year = {2009}
}
@inproceedings{faucris.111777424,
abstract = {The design of a CT detector requires a precise detector model, since building prototypes for many different proposed detector geometries is too costly. We introduce a lookup table-based simulation of scintillation detectors on X-ray photon level. It uses energy-resolved sinograms of incoming X-ray intensities as input data and generates photon counts for each channel and reading. The effects of X-ray- and optical cross-talk, temporal cross-talk between readings, Poisson noise and electronics effects are covered. The photon interaction data as well as optical cross-talk distribution are provided in the form of detector specific look-up tables. Unlike standard MonteCarlo simulations of X-ray interaction processes, our approach is capable of simulating whole sinograms in a reasonable amount of time and still offers a very high precision of the detector model. This way the influence of detector effects can be investigated in the reconstructed image data. The simulation is verified against data measured with a CT scanner and data from a fully single photon-based Monte-Carlo simulation in terms of image modulation transfer function (MTF) and detector noise power spectrum (NPS). © 2008 IEEE.},
author = {Balda, Michael and Wirth, Stefan and Niederlöhner, Daniel and Heismann, Björn and Hornegger, Joachim},
booktitle = {2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008},
doi = {10.1109/NSSMIC.2008.4774168},
faupublication = {yes},
pages = {4028-4033},
peerreviewed = {unknown},
title = {{Look}-up table-based simulation of scintillation detectors in computed tomography},
venue = {Dresden},
volume = {null},
year = {2008}
}
@inproceedings{faucris.113199504,
address = {New-York},
author = {Hutter, Jana and Schmitt, Peter and Gunhild, Aandal and Greiser, Andreas and Forman, Christoph and Grimm, Robert and Hornegger, Joachim and Maier, Andreas},
booktitle = {Proceedings of the Medical Image Computing and Computer-Assisted Intervention},
date = {2013-09-22/2013-09-26},
editor = {MICCAI},
faupublication = {yes},
pages = {000-000},
publisher = {Springer},
title = {{Low}-rank and {Sparse} {Matrix} {Decomposition} for {Compressed} {Sensing} reconstruction of {Magnetic} {Resonance} {4D} {Phase} {Contrast} blood flow imaging ({LoSDeCoS} {4D}-{PCI})},
venue = {Nagoya, Japan},
year = {2013}
}
@article{faucris.121154264,
abstract = {Lymph nodes have high clinical relevance and routinely need to be considered in clinical practice. Automatic detection is, however, challenging due to clutter and low contrast. In this paper, a method is presented that fully automatically detects and segments lymph nodes in 3-D computed tomography images of the chest. Lymph nodes can easily be confused with other structures, it is therefore vital to incorporate as much anatomical prior knowledge as possible in order to achieve a good detection performance. Here, a learned prior of the spatial distribution is used to model this knowledge. Different prior types with increasing complexity are proposed and compared to each other. This is combined with a powerful discriminative model that detects lymph nodes from their appearance. It first generates a number of candidates of possible lymph node center positions. Then, a segmentation method is initialized with a detected candidate. The graph cuts method is adapted to the problem of lymph nodes segmentation. We propose a setting that requires only a single positive seed and at the same time solves the small cut problem of graph cuts. Furthermore, we propose a feature set that is extracted from the segmentation. A classifier is trained on this feature set and used to reject false alarms. Cross-validation on 54 CT datasets showed that for a fixed number of four false alarms per volume image, the detection rate is well more than doubled when using the spatial prior. In total, our proposed method detects mediastinal lymph nodes with a true positive rate of 52.0% at the cost of only 3.1 false alarms per volume image and a true positive rate of 60.9% with 6.1 false alarms per volume image, which compares favorably to prior work on mediastinal lymph node detection. © 2012 Elsevier B.V. All rights reserved.},
author = {Feulner, Johannes and Zhou, S. Kevin and Hammon, Matthias and Hornegger, Joachim and Comaniciu, Dorin},
doi = {10.1016/j.media.2012.11.001},
faupublication = {yes},
journal = {Medical Image Analysis},
pages = {254-270},
peerreviewed = {Yes},
title = {{Lymph} node detection and segmentation in chest {CT} data using discriminative learning and a spatial prior},
volume = {17},
year = {2012}
}
@inproceedings{faucris.121189464,
abstract = {Lymph nodes have high clinical relevance but detection is challenging as they are hard to see due to low contrast and irregular shape. In this paper, a method for fully automatic mediastinal lymph node detection in 3-D computed tomography (CT) images of the chest area is proposed. Discriminative learning is used to detect lymph nodes based on their appearance. Because lymph nodes can easily be confused with other structures, it is vital to incorporate as much anatomical knowledge as possible to achieve good detection rates. Here, a learned prior of the spatial distribution is proposed to model this knowledge. As atlas matching is generally inaccurate in the chest area because of anatomical variations, this prior is not learned in the space of a single atlas, but in the space of multiple ones that are attached to anatomical structures. During test, the priors are weighted and merged according to spatial distances. Cross-validation on 54 CT datasets showed that the prior based detector yields a true positive rate of 52.3% for seven false positives per volume image, which is about two times better than without a spatial prior. ©2010 IEEE.},
author = {Feulner, Johannes and Zhou, S. Kevin and Huber, Martin and Hornegger, Joachim and Comaniciu, Dorin and Cavallaro, Alexander Josef},
booktitle = {2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010},
doi = {10.1109/CVPR.2010.5540034},
faupublication = {yes},
pages = {2926-2932},
peerreviewed = {unknown},
publisher = {IEEE Computer Society; 1999},
title = {{Lymph} node detection in 3-{D} chest {CT} using a spatial prior probability},
venue = {San Francisco, CA},
volume = {null},
year = {2010}
}
@inproceedings{faucris.120536944,
author = {Prümmer, Marcus and Nöth, Elmar and Hornegger, Joachim and Horndasch, Axel},
booktitle = {Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2005 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2005},
doi = {10.1007/3-540-26431-0{\_}99},
faupublication = {yes},
isbn = {9783540250524},
pages = {485-489},
peerreviewed = {unknown},
title = {{Man}-machine interaction for the interventional application},
venue = {Heidelberg},
year = {2005}
}
@inproceedings{faucris.123932644,
abstract = {Current state-of-the-art techniques for fast and robust parsing of volumetric medical image data exploit large annotated image databases and are typically based on machine learning methods. Two main challenges to be solved are the low efficiency in scanning large volumetric input images and the need for manual engineering of image features. This work proposes Marginal Space Deep Learning (MSDL) as an effective solution, that combines the strengths of efficient object parametrization in hierarchical marginal spaces with the automated feature design of Deep Learning (DL) network architectures. Representation learning through DL automatically identifies, disentangles and learns explanatory factors directly from low-level image data. However, the direct application of DL to volumetric data results in a very high complexity, due to the increased number of transformation parameters. For example, the number of parameters defining a similarity transformation increases to 9 in 3D (3 for location, 3 for orientation and 3 for scale). The mechanism of marginal space learning provides excellent run-time performance by learning classifiers in high probability regions in spaces of gradually increasing dimensionality, for example starting from location only (3D) to location and orientation (6D) and full parameter space (9D). In addition, for parametrized feature computation, we propose to simplify the network by replacing the standard, pre-determined feature sampling pattern with a sparse, adaptive, self-learned pattern. The MSDL framework is evaluated on detecting the aortic heart valve in 3D ultrasound data. The dataset contains 3795 volumes from 150 patients. Our method outperforms the state-of-the-art with an improvement of 36%, running in less than one second. To our knowledge this is the first successful demonstration of the DL potential to detection in full 3D data with parametrized representations.},
author = {Ghesu, Florin C. and Georgescu, Bogdan and Zheng, Yefeng and Hornegger, Joachim and Comaniciu, Dorin},
booktitle = {18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I},
doi = {10.1007/978-3-319-24553-9{\_}87},
faupublication = {yes},
month = {Jan},
pages = {710-718},
peerreviewed = {unknown},
publisher = {Springer-verlag},
title = {{Marginal} {Space} {Deep} {Learning}: {Efficient} {Architecture} for {Detection} in {Volumetric} {Image} {Data}},
volume = {9349},
year = {2015}
}
@article{faucris.123213684,
abstract = {Robust and fast solutions for anatomical object detection and segmentation support the entire clinical workflow from diagnosis, patient stratification, therapy planning, intervention and follow-up. Current state-of-the-art techniques for parsing volumetric medical image data are typically based on machine learning methods that exploit large annotated image databases. Two main challenges need to be addressed, these are the efficiency in scanning high-dimensional parametric spaces and the need for representative image features which require significant efforts of manual engineering. We propose a pipeline for object detection and segmentation in the context of volumetric image parsing, solving a two-step learning problem: anatomical pose estimation and boundary delineation. For this task we introduce Marginal Space Deep Learning (MSDL), a novel framework exploiting both the strengths of efficient object parametrization in hierarchical marginal spaces and the automated feature design of Deep Learning (DL) network architectures. In the 3D context, the application of deep learning systems is limited by the very high complexity of the parametrization. More specifically 9 parameters are necessary to describe a restricted affine transformation in 3D, resulting in a prohibitive amount of billions of scanning hypotheses. The mechanism of marginal space learning provides excellent run-time performance by learning classifiers in clustered, high-probability regions in spaces of gradually increasing dimensionality. To further increase computational efficiency and robustness, in our system we learn sparse adaptive data sampling patterns that automatically capture the structure of the input. Given the object localization, we propose a DL-based active shape model to estimate the non-rigid object boundary. Experimental results are presented on the aortic valve in ultrasound using an extensive dataset of 2891 volumes from 869 patients, showing significant improvements of up to 45.2% over the state-of-the-art. To our knowledge, this is the first successful demonstration of the DL potential to detection and segmentation in full 3D data with parametrized representations.},
author = {Ghesu, Florin C. and Krubasik, Edward and Georgescu, Bogdan and Singh, Vivek and Zheng, Yefeng and Hornegger, Joachim and Comaniciu, Dorin},
doi = {10.1109/TMI.2016.2538802},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
keywords = {Deep learning;image parsing;marginal space learning;sparse representations;three-dimensional (3D) object detection and segmentation},
pages = {1217-1228},
peerreviewed = {Yes},
title = {{Marginal} {Space} {Deep} {Learning}: {Efficient} {Architecture} for {Volumetric} {Image} {Parsing}},
volume = {35},
year = {2016}
}
@article{faucris.107376544,
abstract = {Purpose In diagnostic tomographic imaging, patient setup and scanner initialization is a manual, tedious procedure in clinical practice. A fully-automatic detection of the patient's position, orientation, posture and pose on the patient table holds great potential for optimizing this part of the imaging workflow. We propose a markerless framework that is capable of extracting this information within seconds from either range imaging (RI) or pressure imaging (PI) data. Methods The proposed method is composed of three stages: First, the position and orientation of the reclined patient are determined. Second, the patient's posture is classified. Third, based on the estimated orientation and posture, an approximate body pose is recovered by fitting an articulated model to the observed RI/PI data. Being a key issue for clinical application, our approach does not require an initialization pose. Results In a case study on real data from 16 subjects, the performance of the proposed system was evaluated quantitatively with a 3-D time-of-flight RI camera and a pressure sensing mattress (PI). The patient orientation was successfully determined for all subjects, independent of the modality. At the posture recognition stage, our method achieved mean classification rates of 79.4% for RI and 95.5% for PI data, respectively. Concerning the approximate body pose estimation, anatomical body landmarks were localized with an accuracy of ±5.84 cm (RI) and ±5.53 cm (PI). Conclusions The results indicate that an estimation of the patient's position, orientation, posture and pose using RI and PI sensors, respectively, is feasible, and beneficial for optimizing the workflow in diagnostic tomographic imaging. Both modalities achieved comparable pose estimation results using different models that account for modality-specific characteristics. PI outperforms RI in discriminating between prone and supine postures due to the distinctive pressure distribution of the human body. © CARS 2012.},
author = {Grimm, Robert and Bauer, Sebastian and Sukkau, Johann and Hornegger, Joachim and Greiner, Günther},
doi = {10.1007/s11548-012-0694-5},
faupublication = {yes},
journal = {International Journal of Computer Assisted Radiology and Surgery},
pages = {921-929},
peerreviewed = {unknown},
title = {{Markerless} estimation of patient orientation, posture and pose using range and pressure imaging: {For} automatic patient setup and scanner initialization in tomographic imaging},
volume = {7},
year = {2012}
}
@inproceedings{faucris.121155584,
abstract = {To manage respiratory motion in image-guided interventions a novel sparse-to-dense registration approach is presented. We apply an emerging laser-based active triangulation (AT) sensor that delivers sparse but highly accurate 3-D measurements in real-time. These sparse position measurements are registered with a dense reference surface extracted from planning data. Thereby a dense displacement field is reconstructed which describes the 4-D deformation of the complete patient body surface and recovers a multi-dimensional respiratory signal for application in respiratory motion management. The method is validated on real data from an AT prototype and synthetic data sampled from dense surface scans acquired with a structured light scanner. In a study on 16 subjects, the proposed algorithm achieved a mean reconstruction accuracy of +/- 0.22 mm w.r.t. ground truth data.},
address = {Berlin Heidelberg},
author = {Bauer, Sebastian and Berkels, Benjamin and Ettl, Svenja and Arold, Oliver and Hornegger, Joachim and Rumpf, Martin},
booktitle = {15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I},
date = {2012-10-01/2012-10-05},
doi = {10.1007/978-3-642-33415-3{\_}51},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2012.tech.IMMD.IMMD5.marker},
pages = {414-421},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Marker}-less reconstruction of dense 4-{D} surface motion fields using active laser triangulation for respiratory motion management},
venue = {Nice, France},
volume = {15},
year = {2012}
}
@inproceedings{faucris.118784864,
address = {Berlin Heidelberg},
author = {Fischer, Peter and Pohl, Thomas and Maier, Andreas and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2015},
faupublication = {yes},
note = {UnivIS-Import:2015-04-17:Pub.2015.tech.IMMD.IMMD5.markov{\_}6},
pages = {329-324},
publisher = {Springer},
series = {Informatik aktuell},
title = {{Markov} {Random} {Field}-based {Layer} {Separation} for {Simulated} {X}-{Ray} {Image} {Sequences}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Fischer15-MRF.pdf},
venue = {Lübeck},
year = {2015}
}
@inproceedings{faucris.118747904,
author = {Manhart, Michael and Maier, Andreas and Hornegger, Joachim and Dörfler, Arnd},
booktitle = {Proceedings of the 1st Conference on Image Guided Interventions},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.materi{\_}5},
pages = {23-24},
title = {{Material} {Decomposition} for {Energy} {Resolving} {Detectors} using {Weighted} {Levenberg}-{Marquardt} {Optimization}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Manhart14-MDF.pdf},
venue = {Magdeburg},
year = {2014}
}
@inproceedings{faucris.111209384,
author = {Lu, Yanye and Kowarschik, Markus and Ren, Qiushi and Fahrig, Rebecca and Hornegger, Joachim and Maier, Andreas},
booktitle = {Proceedings of Fully3D'17},
faupublication = {yes},
note = {UnivIS-Import:2017-12-18:Pub.2017.tech.IMMD.IMMD5.materi},
pages = {111-114},
peerreviewed = {unknown},
title = {{Material} {Decomposition} {Using} {Ensemble} {Learning} for {Energy}-{Resolved} {Computed} {Tomography}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Lu17-MDU.pdf},
venue = {Xi'an, Shaanxi, China},
year = {2017}
}
@article{faucris.224592412,
author = {Lu, Yanye and Kowarschik, Markus and Huang, Xiaolin and Chen, Shuqing and Ren, Qiushi and Fahrig, Rebecca and Hornegger, Joachim and Maier, Andreas},
doi = {10.1109/TRPMS.2018.2805328},
faupublication = {yes},
journal = {IEEE Transactions on Radiation and Plasma Medical Sciences},
note = {UnivIS-Import:2019-08-15:Pub.2018.tech.IMMD.IMMD5.materi},
pages = {194-204},
peerreviewed = {Yes},
title = {{Material} {Decomposition} {Using} {Ensemble} {Learning} for {Spectral} {X}-ray {Imaging}},
volume = {2},
year = {2018}
}
@inproceedings{faucris.121192984,
abstract = {In this paper we present a novel automatic system to supervise and support rehabilitation and fitness exercises. Goal of the system is to enable autonomous training of rehabilitation patients to support their recovery from movement restrictions as well as the prevention of age-related diseases such as osteoporosis. The system uses time-of-flight technology in order to measure movement angles in real-time. This novel setup is compared to a standard tracking system using visual markers. The measurements of both systems correlate with r values between 0.99 and 0.97 depending on the task domain. The mean error of the angle measurements is between 13 and 17 degrees.},
author = {Soutschek, Stefan and Kornhuber, Johannes and Maier, Andreas and Bauer, Sebastian and Kugler, Patrick and Hornegger, Joachim and Bebenek, Michael and Steckmann, Sven and von Stengel, Simon and Kemmler, Wolfgang},
booktitle = {2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010},
doi = {10.4108/ICST.PERVASIVEHEALTH2010.8852},
faupublication = {yes},
pages = {-},
peerreviewed = {Yes},
title = {{Measurement} of angles in time-of-flight data for the automatic supervision of training exercises},
venue = {Munich},
volume = {null},
year = {2010}
}
@inproceedings{faucris.108220464,
abstract = {3D displays enable immersive visual impressions but the impact on the human perception still is not fully understood. Viewing conditions like the convergence-accommodation (C-A) conflict have an unnatural influence on the visual system and might even lead to visual discomfort. As visual perception is individual we assumed the impact of simulated 3D content on the visual system to be as well. In this study we aimed to analyze the stereoscopic visual performance of 17 subjects for disparities inside and outside the in literature defined zone of comfortable viewing to provide an individual evaluation of the impact of increased disparities on the performance of the visual system. Stereoscopic stimuli were presented in a four-alternative forced choice (4AFC) setup in different disparities. The response times as well as the correct decision rates indicated the performance of stereoscopic vision. The results showed that increased disparities lead to a decline in performance. Further, the impact of the presented disparities is dependent on the difficulty of the task. The decline of performance as well as the deciding disparities for the decline were subject dependent. © 2013 IEEE.},
author = {Paulus, Jan and Michelson, Georg and Hornegger, Joachim and Eskofier, Björn and Schmidt, Michael and et al.},
author_hint = {Paulus Jan, Michelson Georg, Barkowsky Marcus, Hornegger Joachim, Eskofier Björn, Schmidt Michael},
booktitle = {2013 International Conference on 3D Vision - 3DV 2013},
date = {2013-06-29/2013-07-01},
doi = {10.1109/3DV.2013.48},
faupublication = {yes},
isbn = {9780769550671},
keywords = {3D displays; 3D perception; stereo vision; stereopsis; visual discomfort},
note = {UnivIS-Import:2017-01-09:Pub.2013.tech.IMMD.IMMD5.measur{\_}1},
pages = {310-317},
peerreviewed = {unknown},
support_note = {Author relations incomplete. You may find additional data in field 'author{\_}hint'},
title = {{Measurement} of individual changes in the performance of human stereoscopic vision for disparities at the limits of the zone of comfortable viewing},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Paulus13-MOI.pdf},
venue = {Seattle, Washington, USA},
year = {2013}
}
@article{faucris.108842624,
author = {Schmidt, Michael and Hornegger, Joachim and Eskofier, Björn and Barkowsky, Marcus and Paulus, Jan and et al.},
author_hint = {Paulus J., Michelson G., Barkowsky M., Hornegger J., Eskofier B., Schmidt M.},
doi = {10.1109/3DV.2013.48},
faupublication = {yes},
journal = {Proceedings of the IEEE},
pages = {310--317},
peerreviewed = {Yes},
support_note = {Author relations incomplete. You may find additional data in field 'author{\_}hint'},
title = {{Measurement} of {Individual} {Changes} in the {Performance} of {Human} {Stereoscopic} {Vision} for {Disparities} at the {Limits} of the {Zone} of {Comfortable} {Viewing}},
year = {2013}
}
@article{faucris.107398764,
abstract = {Background. Magnetic resonance imaging with arterial spin labeling (MRI-ASL) is a non-invasive approach to measure organ perfusion. We aimed to examine whether MRI-ASL kidney perfusion measurements are related to measurements of renal plasma flow (RPF) by para-aminohippuric acid (PAH) plasma clearance and whether changes of kidney perfusion in response to treatment with telmisartan can be detected by MRI-ASL.Methods. Twenty-four patients with metabolic syndrome and an estimated creatinine clearance according to Cockroft and Gault of ≥60ml/min were included in the study. Kidney perfusion was assessed by MRI-ASL measurements of a single coronal kidney slice (with flow-sensitive alternating inversion recovery and true fast imaging with steady-state processing sequence) and by measurements of RPF using PAH plasma clearance before and after 2 weeks of treatment with the angiotensin receptor blocker telmisartan. All MRI-ASL examinations were performed on a 1.5 T scanner.Results. Two weeks of therapy with telmisartan led to a significant increase of RPF (from 313 ± 47 to 348 ± 69ml/min/m, P = 0.007) and MRI-ASL kidney perfusion measurements (from 253 ± 20 to 268 ± 25ml/min/100g, P = 0.020). RPF measurements were related with MRI-ASL kidney perfusion measurements (r = 0.575, P < 0.001). Changes of RPF measurements and changes of MRI-ASL kidney perfusion measurements in response to treatment with telmisartan revealed a close relationship when expressed in absolute terms (r = 0.548, P = 0.015) and in percentage changes (r = 0.514, P = 0.025).Conclusions. Perfusion measurement of a single coronal kidney slice by MRI-ASL is able to approximate kidney perfusion and to approximate changes in kidney perfusion due to pharmacological intervention. © 2009 The Author.},
author = {Ritt, Martin and Janka, Rolf Matthias and Schneider, Markus P. and Martirosian, Petros and Hornegger, Joachim and Bautz, Werner and Uder, Michael and Schmieder, Roland},
doi = {10.1093/ndt/gfp639},
faupublication = {yes},
journal = {Nephrology Dialysis Transplantation},
pages = {1126-1133},
peerreviewed = {Yes},
title = {{Measurement} of kidney perfusion by magnetic resonance imaging: {Comparison} of {MRI} with arterial spin labeling to para-aminohippuric acid plasma clearance in male subjects with metabolic syndrome},
volume = {25},
year = {2010}
}
@inproceedings{faucris.291209491,
author = {Navab, Nassir and Hornegger, Joachim and Wells, William M. and Frangi, Alejandro F.},
booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
date = {2015-10-05/2015-10-09},
editor = {Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi},
faupublication = {yes},
isbn = {9783319245737},
note = {CRIS-Team Scopus Importer:2023-03-08},
peerreviewed = {unknown},
publisher = {Springer Verlag},
title = {{Medical} {Image} {Computing} and {Computer}-{Assisted} {Intervention} - {MICCAI} 2015: 18th {International} {Conference} {Munich}, {Germany}, {October} 5-9, 2015 proceedings, part {III}},
venue = {Munich, DEU},
volume = {9351},
year = {2015}
}
@book{faucris.203743517,
address = {Erlangen},
editor = {Maier, Andreas and Steidl, Stefan and Christlein, Vincent and Hornegger, Joachim},
faupublication = {yes},
note = {UnivIS-Import:2018-09-06:Pub.2018.tech.IMMD.IMMD5.introd},
peerreviewed = {automatic},
publisher = {Springer},
series = {Lecture Notes in Computer Science book series (LNCS},
title = {{Medical} {Imaging} {Systems}},
url = {https://link.springer.com/content/pdf/10.1007/978-3-319-96520-8{\_}1.pdf},
volume = {11111},
year = {2018}
}
@article{faucris.113146704,
author = {Brost, Alexander and Raab, Jens and Kleinöder, Andreas and Kurzendorfer, Tanja and Bourier, Felix and Koch, Martin and Hoffmann, Matthias and Strobel, Norbert and Kurzidim, Klaus and Hornegger, Joachim},
faupublication = {yes},
journal = {Deutsche Zeitschrift für Klinische Forschung},
pages = {36-41},
peerreviewed = {Yes},
title = {{Medizinische} {Bildverarbeitung} für die minimal-invasive {Behandlung} von {Vorhofflimmern}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Hornegger13-MBF.pdf},
volume = {17.0},
year = {2013}
}
@inproceedings{faucris.107897724,
address = {Heidelberg},
author = {Bührle, Elmar and Keck, Benjamin and Böhm, Stefan and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2009 - Algorithmen Systeme Anwendungen},
date = {2009-04-22/2009-04-25},
editor = {Meinzer Hans-Peter, Deserno Thomas Martin, Handels Heinz, Tolxdorff Thomas},
faupublication = {yes},
pages = {464-468},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Mehrstufige} zeit- und bewegungsabhängige {Rauschreduktion} in {Echtzeit} mittels {CUDA}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Buehrle09-MZU.pdf},
venue = {Heidelberg},
year = {2009}
}
@inproceedings{faucris.108055684,
address = {Berlin},
author = {Prümmer, Marcus and Nöth, Elmar and Hornegger, Joachim and Horndasch, Axel},
booktitle = {Bildverarbeitung für die Medizin 2005},
date = {2005-03-13/2005-03-15},
editor = {Meinzer Hans-Peter, Handels Heinz, Horsch Alexander, Tolxdorff Thomas},
faupublication = {yes},
pages = {485-489},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Mensch}-{Maschine} {Interaktion} für den interventionellen {Einsatz}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Pruemmer05-MIF.pdf},
venue = {Berlin},
year = {2005}
}
@inproceedings{faucris.208842842,
author = {Jiang, Zhengning and Keck, Benjamin and Riess, Christian and Fischer, Daniel and Mertelmeier, Thomas and Hornegger, Joachim},
booktitle = {7th Russian-Bavarian Conference on Biomedical Engineering},
faupublication = {yes},
peerreviewed = {Yes},
title = {{Metal} {Artifact} {Reduction} of {Biopsy} {Needles} in {Digital} {Breast} {Tomosynthesis}},
year = {2011}
}
@misc{faucris.109080004,
author = {Hata, Nobuhiko and Hornegger, Joachim},
doi = {10.1007/s11548-015-1270-6},
faupublication = {yes},
peerreviewed = {automatic},
title = {{MICCAI} 2014 special issue},
year = {2015}
}
@inproceedings{faucris.121139524,
author = {Forman, Christoph and Piccini, Davide and Hutter, Jana and Grimm, Robert and Hornegger, Joachim and Zenge, Michael O.},
booktitle = {Proceedings of International Society for Magnetic Resonance in Medicine},
date = {2012-05-05/2012-05-11},
faupublication = {yes},
pages = {1160},
peerreviewed = {unknown},
title = {{Minimization} of {Respiratory} {Motion} {Artifacts} for {Whole}-{Heart} {Coronary} {MRI}: {A} {Combination} of {Self}-navigation and {Weighted} {Compressed} {Sensing} {Reconstruction}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Forman12-MOR.pdf},
venue = {Melbourne},
year = {2012}
}
@article{faucris.120180104,
author = {Klucken, Jochen and Barth, Jens and Maertens, Katharina and Eskofier, Björn and Kugler, Patrick and Steidl, Ralph and Hornegger, Joachim and Winkler, Jürgen},
doi = {10.1007/s00115-011-3329-0},
faupublication = {yes},
journal = {Nervenarzt},
pages = {1604-1611},
peerreviewed = {Yes},
title = {{Mobile} biometrische {Ganganalyse}},
volume = {82},
year = {2011}
}
@article{faucris.121166584,
abstract = {Summary: Parkinson's disease (PD) is characterized by progressive motor and non-motor symptoms, leading to distinct diagnostic and therapeutic challenges in all stages of the disease. This study investigated a mobile biosensor-based gait analysis system for patients in early and intermediate stages of PD compared to controls. Subjects wearing a motion sensor-equipped shoe performed a standardized gait exercise. Accelerometer-and gyroscope-based signals were analysed using a complex set of pattern recognition algorithms. The analysis was able (1) to distinguish between PD patients and controls, (2) to identify patients at an early stage of the disease and (3) to distinguish between early and intermediate stage patients. Thus, using this mobile biosensor-based analysis system we were able to obtain objective classifications of gait characteristics in PD. Future studies will show that mobile biosensor-based movement detection technology will support identification of early PD stages and allow objective characterization of motor fluctuations in advanced stages of the disease. This will provide an important and supportive tool for patients, caregivers and therapists. © 2011 Springer-Verlag.},
author = {Klucken, Jochen and Barth, Jens and Maertens, Katharina and Eskofier, Björn and Kugler, Patrick and Steidl, Ralph and Hornegger, Joachim and Winkler, Jürgen and Klucken, Jochen},
doi = {10.1007/s00115-011-3329-0},
faupublication = {yes},
journal = {Nervenarzt},
pages = {1604-1611},
peerreviewed = {Yes},
title = {{Mobile} biosensor-based gait analysis: {A} diagnostic and therapeutic tool in {Parkinson}'s disease},
volume = {82},
year = {2011}
}
@article{faucris.113892944,
abstract = {The system is mobile, markerless, intuitive and real-time capable with sufficient accuracy. It can support the forensic pathologist during autopsy with augmented reality and textured surfaces. Furthermore, the system enables multimodal documentation for presentation in court. Despite its preliminary prototype status, it has high potential due to its low price and simplicity.},
author = {Kilgus, Thomas and Heim, Eric and Haase, Sven and Pruefer, Sabine and Mueller, Michael and Seitel, Alexander and Fangerau, Markus and Wiebe, Tamara and Iszatt, Justin and Schlemmer, Heinz-Peter and Hornegger, Joachim and Yen, Kathrin and Maier-Hein, Lena},
doi = {10.1007/s11548-014-1106-9},
faupublication = {yes},
journal = {International Journal of Computer Assisted Radiology and Surgery},
keywords = {Mobile augmented reality;Forensic medicine;Range imaging;Kinect;Iterative closest-point algorithm;Mobile application;Surface documentation},
pages = {573-586},
peerreviewed = {Yes},
title = {{Mobile} markerless augmented reality and its application in forensic medicine},
volume = {10},
year = {2015}
}
@incollection{faucris.120193964,
abstract = {Automatic segmentation of the esophagus from CT data is a challenging problem. Its wall consists of muscle tissue, which has low contrast in CT. Sometimes it is filled with air or remains of orally given contrast agent. While air holes are a clear hint to a human when searching for the esophagus, we found that they are rather distracting to discriminative models of the appearance because of their similarity to the trachea and to lung tissue. However, air inside the respiratory organs can be segmented easily. In this paper, we propose to combine a model based segmentation algorithm of the esophagus with a spatial probability map generated from detected air. Threefold cross-validation on 144 datasets showed that this probability map, combined with a technique that puts more focus on hard cases, increases accuracy by 22%. In contrast to prior work, our method is not only automatic on a manually selected region of interest, but on a whole thoracic CT scan, while our mean segmentation error of 1.80mm is even better. © 2010 Springer-Verlag.},
address = {Heidelberg},
author = {Feulner, Johannes and Zhou, S. Kevin and Huber, Martin and Hornegger, Joachim and Comaniciu, Dorin and Cavallaro, Alexander Josef},
booktitle = {Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010},
doi = {10.1007/978-3-642-15705-9{\_}12},
faupublication = {yes},
isbn = {978-3-642-15704-2},
note = {UnivIS-Import:2015-04-16:Pub.2010.tech.IMMD.IMMD5.modelb},
pages = {95-102},
peerreviewed = {unknown},
publisher = {Springer-verlag},
series = {MICCAI 2010, Lecture Notes in Computer Science, LNCS},
title = {{Model}-based esophagus segmentation from {CT} scans using a spatial probability map},
volume = {6361},
year = {2010}
}
@inproceedings{faucris.120183184,
abstract = {In recent years transcatheter valve therapies are beginning to replace invasive surgical procedures. As there is no direct view and access to the affected anatomy advanced imaging techniques such as 3D rotational angiography (C-arm CT) and real-time fluoroscopy are used for intra-operative guidance. However, intra-operative modalities have limited image quality of the soft tissue and a reliable assessment of the cardiac anatomy can only be made by injecting contrast agent, which is harmful to the patient and requires complex acquisition protocols. We propose a novel method to align pre-operative and intra-operative data by using surrogate anatomical structures which are visible in both modalities without adding contrast agent. The trachea bifurcation model is used as a surrogate structure and the model parameters are estimated using robust machine learning algorithms. High quality patient specific models can be extracted from the pre-operative CT and mapped to the intra-operative 3D C-arm CT for guidance. In addition we learn a weighted mapping function for the trachea bifurcation model extracted from the pre-operative and intra-operative images which minimizes the mapping error in respect to the anatomy of interest. Experiments performed on 28 patient pairs of CT and contrasted 3D C-arm CT data sets assure an accuracy of the mapped aortic valve model of 9.08 × 7.31 deg and 7.5 × 7 3.22mm. © 2012 IEEE.},
author = {Grbic, Sasa and Gesell, Christian and Ionasec, Razvan and John, Matthias and Boese, Jan and Hornegger, Joachim and Navab, Nassir and Comaniciu, Dorin},
booktitle = {2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012},
doi = {10.1109/ISBI.2012.6235774},
faupublication = {yes},
pages = {1192-1195},
peerreviewed = {unknown},
title = {{Model}-based fusion of {CT} and non-contrasted {3D} {C}-arm {CT}: {Application} to transcatheter valve therapies},
venue = {Barcelona},
volume = {null},
year = {2012}
}
@inproceedings{faucris.108095284,
address = {Heidelberg},
author = {Voigt, Ingmar and Assoumou Mengue, Etienne and Ionasec, Razvan and Tommaso, Mansi and Bernhardt, Dominik and Georgescu, Bogdan and Hornegger, Joachim and Comaniciu, Dorin},
booktitle = {1st International MICCAI-Workshop on Computer Assisted Stenting},
date = {2012-10-01},
editor = {Demirci et. al.},
faupublication = {yes},
pages = {n/a},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Model}-based {Postoperative} {Modeling} of {Stent}-{Based} {Devices} from {CT}: {Application} to {TAVI}},
url = {http://www5.informatik.uni-erlangen.de/fileadmin/Persons/VoigtIngmar/ProjPage/Voigt-MBP.pdf},
venue = {Nice},
year = {2012}
}
@book{faucris.121191004,
abstract = {Radio-frequency catheter ablation (RFCA) has become an accepted treatment option for atrial fibrillation (Afib). RFCA of Afib involves isolation of the pulmonary veins under X-ray guidance. For easier navigation, two-dimensional X-ray imaging may take advantage of overlay images derived from static pre-operative 3-D data set to add anatomical details which, otherwise, would not be visible under X-ray. Unfortunately, respiratory and cardiac motion may impair the utility of static overlay images for catheter navigation. We developed a system for image-based 2-D motion estimation and compensation as a solution to this problem. It is based on 2-D catheter tracking facilitated by model-based registration of an ellipse-shaped model to fluorosocpic images. A mono-plane or a bi-plane X-ray C-arm system can be used. In the first step of the method, a 2-D model of the catheter device is computed. Respiratory and cardiac motion at the site of ablation is then estimated by tracking the catheter device in fluoroscopic images. The cost function of the registration step is based on the average distance of the model to the segmented circumferential mapping catheter using a distance map. In our experiments, the circumferential catheter was successfully tracked in 688 fluoroscopic images with an average 2-D tracking error of 0.59 mm ± 0.25 mm. Our presented method achieves a tracking rate of 10 frames-per-second. © 2010 Springer-Verlag Berlin Heidelberg.},
address = {Heidelberg, Berlin},
author = {Brost, Alexander and Liao, Rui and Hornegger, Joachim and Strobel, Norbert},
doi = {10.1007/978-3-642-14366-3{\_}21},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2010.tech.IMMD.IMMD5.modelb{\_}3},
pages = {234-245},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Model}-based registration for motion compensation during {EP} ablation procedures},
volume = {6204},
year = {2010}
}
@inproceedings{faucris.121189684,
abstract = {In this paper we propose and validate a PCA-based respiratory motion model for motion compensation during image-guided cardiac interventions. In a preparatory training phase, a preoperative 3-D segmentation of the coronary arteries is automatically registered with a cardiac gated biplane cineangiogram, and used to build a respiratory motion model. This motion model is subsequently used as a prior within the intraoperative registration process for motion compensation to restrict the search space. Our hypothesis is that the use of this model-constrained registration increases the robustness and registration accuracy, especially for weak data constraints such as low signal-to-noise ratio, the lack of contrast information, or an intraoperative monoplane setting. This allows for reducing radiation exposure without compromising on registration accuracy. Synthetic data as well as phantom and clinical datasets have been used to validate the model-based registration in terms of registration accuracy, robustness and speed. We were able to significantly accelerate the intraoperative registration with a 3-D TRE of less than 2mm for both monoplane images and intraprocedure settings with missing contrast information based on 2-D guidewire tracking, which makes it feasible for motion correction in clinical procedures. ©2010 IEEE.},
author = {Schneider, Max and Sundar, Hari and Liao, Rui and Hornegger, Joachim and Xu, Chenyang},
booktitle = {2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010},
doi = {10.1109/CVPR.2010.5540038},
faupublication = {yes},
pages = {2948-2954},
peerreviewed = {unknown},
publisher = {IEEE Computer Society; 1999},
title = {{Model}-based respiratory motion compensation for image-guided cardiac interventions},
venue = {San Francisco, CA},
volume = {null},
year = {2010}
}
@inproceedings{faucris.121200464,
abstract = {Disorders of the mitral valve are second most frequent, cumulating 14 percent of total number of deaths caused by Valvular Heart Disease each year in the United States and require elaborate clinical management. Visual and quantitative evaluation of the valve is an important step in the clinical workflow according to experts as knowledge about mitral morphology and dynamics is crucial for interventional planning.1, 2 Traditionally this involves examination and metric analysis of 2D images comprising potential errors being intrinsic to the method. Recent commercial solutions are limited to specific anatomic components, pathologies and a single phase of cardiac 4D acquisitions only. This paper introduces a novel approach for morphological and functional quantification of the mitral valve based on a 4D model estimated from ultrasound data. A physiological model of the mitral valve, covering the complete anatomy and eventual shape variations, is generated utilizing parametric spline surfaces constrained by topological and geometrical prior knowledge. The 4D model's parameters are estimated for each patient using the latest discriminative learning and incremental searching techniques. Precise evaluation of the anatomy using model-based dynamic measurements and advanced visualization are enabled through the proposed approach in a reliable, repeatable and reproducible manner.3 The efficiency and accuracy of the method is demonstrated through experiments and an initial validation based on clinical research results. To the best of our knowledge this is the first time such a patient specific 4D mitral valve model is proposed, covering all of the relevant anatomies and enabling to model the common pathologies at once. © 2009 SPIE.},
author = {Voigt, Ingmar and Ionasec, Razvan Ioan and Georgescu, Bogdan and Houled, Helene and Huber, Martin and Hornegger, Joachim and Comaniciu, Dorin},
booktitle = {Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging},
doi = {10.1117/12.812096},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Model}-driven physiological assessment of the mitral valve from {4D} {TEE}},
venue = {Lake Buena Vista, FL},
volume = {7261},
year = {2009}
}
@inproceedings{faucris.108181304,
author = {Kugler, Patrick and Bührle, Elmar and Eskofier, Björn and Kühner, Pascal and Schlarb, Heiko and Hornegger, Joachim},
booktitle = {Proceedings of the Embedded World Conference 2010},
date = {2010-03-02/2010-03-04},
editor = {Weka Fachmedien GmbH},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Monitoring} {Subjective} {Perception} and {Physiological} {State} of {Athletes} or {Patients} in {Real}-{Time} using a {Mobile} {Phone}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Kugler10-MSP.pdf},
venue = {Nuremberg},
year = {2010}
}
@article{faucris.120320464,
author = {Henker, Robert and Scholz, Michael and Gaffling, Simone and Nagayoshi, Asano and Hampel, Ulrike and Garreis, Fabian and Hornegger, Joachim and Paulsen, Friedrich},
doi = {10.1371/journal.pone.0074046},
faupublication = {yes},
journal = {PLoS ONE},
pages = {e74046},
peerreviewed = {Yes},
title = {{Morphological} {Features} of the {Porcine} {Lacrimal} {Gland} and {Its} {Compatibility} for {Human} {Lacrimal} {Gland} {Xenografting}},
volume = {8.0},
year = {2013}
}
@inproceedings{faucris.121793144,
author = {Berger, Martin and Maier, Andreas and Xia, Yan and Hornegger, Joachim and Fahrig, Rebecca},
booktitle = {Proceedings of the third international conference on image formation in x-ray computed tomography},
faupublication = {yes},
keywords = {GRK-1773},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.motion{\_}3},
pages = {329-332},
title = {{Motion} {Compensated} {Fan}-{Beam} {CT} by {Enforcing} {Fourier} {Properties} of the {Sinogram}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Berger14-MCF.pdf},
venue = {Salt Lake City, UT, USA},
year = {2014}
}
@inproceedings{faucris.111712744,
abstract = {The treatment of atrial fibrillation has gained increasing importance in the field of computer-aided interventions. State-of-the-art treatment involves the electrical isolation of the pulmonary veins attached to the left atrium under fluoroscopic X-ray image guidance. Due to the rather low soft-tissue contrast of X-ray fluoroscopy, the heart is difficult to see. To overcome this problem, overlay images from pre-operative 3-D volumetric data can be used to add anatomical detail. Unfortunately, these overlay images are static at the moment, i.e., they do not move with respiratory and cardiac motion. The lack of motion compensation may impair X-ray based catheter navigation, because the physician could potentially position catheters incorrectly. To improve overlay-based catheter navigation, we present a novel two stage approach for respiratory and cardiac motion compensation. First, a cascade of boosted classifiers is employed to segment a commonly used circumferential mapping catheter which is firmly fixed at the ostium of the pulmonary vein during ablation. Then, a 2-D/2-D model-based registration is applied to track the segmented mapping catheter. Our novel hybrid approach was evaluated on 10 clinical data sets consisting of 498 fluoroscopic monoplane frames. We obtained an average 2-D tracking error of 0.61 mm, with a minimum error of 0.26 mm and a maximum error of 1.62 mm. These results demonstrate that motion compensation using registration-based catheter tracking is both feasible and accurate. Using this approach, we can only estimate in-plane motion. Fortunately, compensating for this is often sufficient for EP procedures where the motion is governed by breathing. © 2011 SPIE.},
author = {Brost, Alexander and Wimmer, Andreas and Liao, Rui and Hornegger, Joachim and Strobel, Norbert},
booktitle = {Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling},
doi = {10.1117/12.877650},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Motion} compensation by registration-based catheter tracking},
venue = {Lake Buena Vista, FL},
volume = {7964},
year = {2011}
}
@article{faucris.207563209,
author = {Berger, Martin and Xia, Yan and Aichinger, Wolfgang and Mentl, Katrin and Unberath, Mathias and Aichert, André and Riess, Christian and Hornegger, Joachim and Fahrig, Rebecca and Maier, Andreas},
doi = {10.1088/1361-6560/aa8129},
faupublication = {yes},
journal = {Physics in Medicine and Biology},
keywords = {cone-beam CT; Fourier consistency conditions; motion correction; motion estimation},
pages = {7181-7215},
peerreviewed = {Yes},
title = {{Motion} {Compensation} for {Cone}-{Beam} {CT} using {Fourier} {Consistency} {Conditions}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Berger17-MCF.pdf},
volume = {62},
year = {2017}
}
@article{faucris.121222464,
abstract = {An inherent disadvantage of digital subtraction angiography (DSA) is its sensitivity to patient motion which causes artifacts in the subtraction images. These artifacts could often reduce the diagnostic value of this technique. Automated, fast and accurate motion compensation is therefore required. To cope with this requirement, we first examine a method explicitly designed to detect local motions in DSA. Then, we implement a motion compensation algorithm by means of block matching on modern graphics hardware. Both methods search for maximal local similarity by evaluating a histogram-based measure. In this context, we are the first who have mapped an optimizing search strategy on graphics hardware while paralleling block matching. Moreover, we provide an innovative method for creating histograms on graphics hardware with vertex texturing and frame buffer blending. It turns out that both methods can effectively correct the artifacts in most case, as the hardware implementation of block matching performs much faster: the displacements of two 1024 × 1024 images can be calculated at 3 frames/s with integer precision or 2 frames/s with sub-pixel precision. Preliminary clinical evaluation indicates that the computation with integer precision could already be sufficient. © 2006 Elsevier Ltd. All rights reserved.},
author = {Deuerling-Zheng, Yu and Lell, Michael and Galant, Adam and Hornegger, Joachim},
doi = {10.1016/j.compmedimag.2006.05.008},
faupublication = {yes},
journal = {Computerized Medical Imaging and Graphics},
pages = {279-289},
peerreviewed = {Yes},
title = {{Motion} compensation in digital subtraction angiography using graphics hardware},
volume = {30},
year = {2006}
}
@article{faucris.120184284,
abstract = {High speed Optical Coherence Tomography (OCT) has made it possible to rapidly capture densely sampled 3D volume data. One key application is the acquisition of high quality in vivo volumetric data sets of the human retina. Since the volume is acquired in a few seconds, eye movement during the scan process leads to distortion, which limits the accuracy of quantitative measurements using 3D OCT data. In this paper, we present a novel software based method to correct motion artifacts in OCT raster scans. Motion compensation is performed retrospectively using image registration algorithms on the OCT data sets themselves. Multiple, successively acquired volume scans with orthogonal fast scan directions are registered retrospectively in order to estimate and correct eye motion. Registration is performed by optimizing a large scale numerical problem as given by a global objective function using one dense displacement field for each input volume and special regularization based on the time structure of the acquisition process. After optimization, each volume is undistorted and a single merged volume is constructed that has superior signal quality compared to the input volumes. Experiments were performed using 3D OCT data from the macula and optic nerve head acquired with a high-speed ultra-high resolution 850 nm spectral OCT as well as wide field data acquired with a 1050 nm swept source OCT instrument. Evaluation of registration performance and result stability as well as visual inspection shows that the algorithm can correct for motion in all three dimensions and on a per A-scan basis. Corrected volumes do not show visible motion artifacts. In addition, merging multiple motion corrected and registered volumes leads to improved signal quality. These results demonstrate that motion correction and merging improves image quality and should also improve morphometric measurement accuracy from volumetric OCT data. © 2012 Optical Society of America.},
author = {Kraus, Martin and Potsaid, Benjamin and Mayer, Markus Anton and Bock, Rüdiger and Baumann, Bernhard and Liu, Jonathan J. and Hornegger, Joachim and Fujimoto, James G.},
doi = {10.1364/BOE.3.001182},
faupublication = {yes},
journal = {Biomedical Optics Express},
pages = {1182-1199},
peerreviewed = {unknown},
title = {{Motion} correction in optical coherence tomography volumes on a per {A}-scan basis using orthogonal scan patterns},
volume = {3},
year = {2012}
}
@book{faucris.121156904,
abstract = {Catheter ablation is widely accepted as the best remaining option for the treatment of atrial fibrillation if drug therapy fails. Ablation procedures can be guided by 3-D overlay images projected onto live fluoroscopic X-ray images. These overlay images are generated from either MR, CT or C-Arm CT volumes. As the alignment of the overlay is often compromised by cardiac and respiratory motion, motion compensation methods are desirable. The most recent and promising approaches use either a catheter in the coronary sinus vein, or a circumferential mapping catheter placed at the ostium of one of the pulmonary veins. As both methods suffer from different problems, we propose a novel method to achieve motion compensation for fluoroscopy guided cardiac ablation procedures. Our new method localizes the coronary sinus catheter. Based on this information, we estimate the position of the circumferential mapping catheter. As the mapping catheter is placed at the site of ablation, it provides a good surrogate for respiratory and cardiac motion. To correlate the motion of both catheters, our method includes a training phase in which both catheters are tracked together. The training information is then used to estimate the cardiac and respiratory motion of the left atrium by observing the coronary sinus catheter only. The approach yields an average 2-D estimation error of 1.99 ± 1.20 mm. © 2012 Springer-Verlag.},
address = {Berlin Heidelberg},
author = {Käppler, Sebastian and Brost, Alexander and Koch, Martin and Wu, Wen and Bourier, Felix and Chen, Terrence and Kurzidim, Klaus and Hornegger, Joachim and Strobel, Norbert},
doi = {10.1007/978-3-642-30618-1{\_}10},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2012.tech.IMMD.IMMD5.motion{\_}2},
pages = {94-103},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Motion} {Estimation} {Model} for {Cardiac} and {Respiratory} {Motion} {Compensation}},
volume = {7330},
year = {2012}
}
@inproceedings{faucris.121334884,
author = {Hutter, Jana and Grimm, Robert and Forman, Christoph and Greiser, Andreas and Hornegger, Joachim and Schmitt, Peter},
booktitle = {Proceedings of the 10th IEEE International Symposium on Biomedical Imaging},
date = {2013-04-07/2013-04-11},
editor = {IEEE},
faupublication = {yes},
pages = {-},
title = {{Multi}-{Dimensional} {Flow}-{Adapted} {Compressed} {Sensing} ({MDFCS}) for time-resolved velocity-encoded {Phase} {Conrast} {MRA}},
venue = {San Francisco},
year = {2013}
}
@article{faucris.106979884,
abstract = {4-D time-resolved velocity-encoded phase-contrast MRI (4-D PCI) is a fully non-invasive technique to assess hemodynamics in vivo with a broad range of potential applications in multiple cardiovascular diseases. It is capable of providing quantitative flow values and anatomical information simultaneously. The long acquisition time, however, still inhibits its wider clinical use. Acceleration is achieved at present using parallel MRI (pMRI) techniques which can lead to substantial loss of image quality for higher acceleration factors. Both the high-dimensionality and the significant degree of spatio-temporal correlation in 4-D PCI render it ideally suited for recently proposed compressed sensing (CS) techniques. We propose the Multi-Dimensional Flow-preserving Compressed Sensing (MuFloCoS) method to exploit these properties. A multi-dimensional iterative reconstruction is combined with an interleaved sampling pattern (I-VT), an adaptive masked and weighted temporal regularization (TMW) and fully automatically obtained vessel-masks. The performance of the novel method was analyzed concerning image quality, feasibility of acceleration factors up to 15, quantitative flow values and diagnostic accuracy in phantom experiments and an in vivo carotid study with 18 volunteers. Comparison with iterative state-of-the-art methods revealed significant improvements using the new method, the temporal normalized root mean square error of the peak velocity was reduced by 45.32% for the novel MuFloCoS method with acceleration factor 9. The method was furthermore applied to two patient cases with diagnosed high-grade stenosis of the ICA, which confirmed the performance of MuFloCoS to produce valuable results in the presence of pathological findings in 56 s instead of over 8 min (full sampling).},
author = {Hutter, Jana and Schmitt, Peter and Saake, Marc and Stübinger, Axel and Grimm, Robert and Forman, Christoph and Greiser, Andreas and Hornegger, Joachim and Maier, Andreas},
doi = {10.1109/TMI.2014.2359238},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
keywords = {Compressed sensing; hemodynamics; magnetic resonance imaging (MRI); phase contrast MRI},
note = {UnivIS-Import:2015-07-08:Pub.2015.tech.IMMD.IMMD5.multid},
pages = {400-414},
peerreviewed = {Yes},
title = {{Multi}-{Dimensional} {Flow}-{Preserving} {Compressed} {Sensing} ({MuFloCoS}) for {Time}-{Resolved} {Velocity}-{Encoded} {Phase} {Contrast} {MRI}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Hutter15-MFC.pdf},
volume = {34},
year = {2015}
}
@inproceedings{faucris.118309004,
abstract = {This paper proposes a novel super-resolution framework to reconstruct high-resolution fundus images from multiple low-resolution video frames in retinal fundus imaging. Natural eye movements during an examination are used as a cue for super-resolution in a robust maximum a-posteriori scheme. In order to compensate heterogeneous illumination on the fundus, we integrate retrospective illumination correction for photometric registration to the underlying imaging model. Our method utilizes quality self-assessment to provide objective quality scores for reconstructed images as well as to select regularization parameters automatically. In our evaluation on real data acquired from six human subjects with a low-cost video camera, the proposed method achieved considerable enhancements of low-resolution frames and improved noise and sharpness characteristics by 74%. In terms of image analysis, we demonstrate the importance of our method for the improvement of automatic blood vessel segmentation as an example application, where the sensitivity was increased by 13% using super-resolution reconstruction. © 2014 Springer International Publishing.},
address = {Heidelberg},
author = {Köhler, Thomas and Brost, Alexander and Mogalle, Katja and Zhang, Qianyi and Köhler, Christiane and Michelson, Georg and Hornegger, Joachim and Tornow, Ralf-Peter},
booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2014},
date = {2014-09-14/2014-09-18},
doi = {10.1007/978-3-319-10404-1{\_}81},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.multif},
pages = {650-657},
publisher = {Springer},
title = {{Multi}-{Frame} {Super}-{Resolution} with {Quality} {Self}-{Assessment} for {Retinal} {Fundus} {Videos}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Koehler14-MSW.pdf},
venue = {Cambridge, MA},
year = {2014}
}
@inproceedings{faucris.113133724,
author = {Yang, Qiao and Maass, Nicole and Tian, Mengqiu and Elter, Matthias and Schasiepen, Ingo and Maier, Andreas and Hornegger, Joachim},
booktitle = {Proceedings of the 12th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine},
date = {2013-06-16/2013-06-21},
editor = {Leahy Richard, Qi Jingyi},
faupublication = {yes},
pages = {533-536},
title = {{Multi}-{Material} {Beam} {Hardening} {Correction} ({MMBHC}) in {Computed} {Tomography}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Yang13-MBH.pdf},
venue = {Lake Tahoe, CA},
year = {2013}
}
@inproceedings{faucris.120206504,
abstract = {In this paper, we propose a multi-modal non-rigid 2D-3D registration technique. This method allows a non-rigid alignment of a patient pre-operatively computed tomography (CT) to few intra operatively acquired fluoroscopic X-ray images obtained with a C-arm system. This multi-modal approach is especially focused on the 3D alignment of high contrast reconstructed volumes with intra-interventional low contrast X-ray images in order to make use of up-to-date information for surgical guidance and other interventions. The key issue of non-rigid 2D-3D registration is how to define the distance measure between high contrast 3D data and low contrast 2D projections. In this work, we use algebraic reconstruction theory to handle this problem. We modify the Euler-Lagrange equation by introducing a new 3D force. This external force term is computed from the residual of the algebraic reconstruction procedures. In the multi-modal case we replace the residual between the digitally reconstructed radiographs (DRR) and observed X-ray images with a statistical based distance measure. We integrate the algebraic reconstruction technique into a variational registration framework, so that the 3D displacement field is driven to minimize the "reconstruction distance" between the volumetric data and its 2D projections using mutual information (MI). The benefits of this 2D-3D registration approach are its scalability in the number of used X-ray reference images and the proposed distance that can handle low contrast fluoroscopies as well. Experimental results are presented on both artificial phantom and 3D C-arm CT images.},
author = {Prümmer, Marcus and Hornegger, Joachim and Pfister, Marcus and Dörfler, Arnd},
booktitle = {Medical Imaging 2006: Image Processing},
doi = {10.1117/12.652321},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Multi}-modal {2D}-{3D} non-rigid registration},
venue = {San Diego, CA},
volume = {null},
year = {2006}
}
@inproceedings{faucris.120187364,
abstract = {In radiation therapy, prior to each treatment fraction, the patient must be aligned to computed tomography (CT) data. Patient setup verification systems based on range imaging (RI) can accurately verify the patient position and adjust the treatment table at a fine scale, but require an initial manual setup using lasers and skin markers. We propose a novel markerless solution that enables a fully-automatic initial coarse patient setup. The table transformation that brings template and reference data in congruence is estimated from point correspondences based on matching local surface descriptors. Inherently, this point-based registration approach is capable of coping with gross initial misalignments and partial matching. Facing the challenge of multi-modal surface registration (RI/CT), we have adapted state-of-the-art descriptors to achieve invariance to mesh resolution and robustness to variations in topology. In a case study on real data from a low-cost RI device (Microsoft Kinect), the performance of different descriptors is evaluated on anthropomorphic phantoms. Furthermore, we have investigated the system's resilience to deformations for mono-modal RI/RI registration of data from healthy volunteers. Under gross initial misalignments, our method resulted in an average angular error of 1.5 and an average translational error of 13.4 mm in RI/CT registration. This coarse patient setup provides a feasible initialization for subsequent refinement with verification systems. © 2011 IEEE.},
author = {Bauer, Sebastian and Wasza, Jakob and Haase, Sven and Marosi, Natalia and Hornegger, Joachim},
booktitle = {2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011},
doi = {10.1109/ICCVW.2011.6130383},
faupublication = {yes},
pages = {1175-1181},
peerreviewed = {unknown},
title = {{Multi}-modal surface registration for markerless initial patient setup in radiation therapy using microsoft's {Kinect} sensor},
venue = {Barcelona},
volume = {null},
year = {2011}
}
@article{faucris.120322004,
author = {El-Sheik, Michael and Heverhagen, Johannes T. and Alfke, Heiko and Froelich, Jens J. and Hornegger, Joachim and Brunner, Thomas and Klose, Klaus Jochen and Wagner, Hans-Joachim},
faupublication = {no},
journal = {Radiology},
pages = {843-849},
peerreviewed = {Yes},
title = {{Multiplaner} reconstructions and three-dimensional imaging (computed rotational osteography) of complex fractures by using a c-arm system: {Initial} results},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2001/El-Sheik01-MRA.pdf},
volume = {221},
year = {2001}
}
@article{faucris.124063984,
abstract = {Objective: The signal-to-noise ratio in computed tomography (CT) data should be improved by using adaptive noise estimation for level-dependent threshold determination in the wavelet domain. Method: The projection data measured in CT and, thus, the slices reconstructed from these data are noisy. For a reliable diagnosis and subsequent image processing, like segmentation, the ratio between relevant tissue contrasts and the noise amplitude must be sufficiently large. By separate reconstructions from disjoint subsets of projections, e.g. even and odd numbered projections, two CT volumes can be computed, which only differ with respect to noise. We show that these images allow a position and orientation adaptive noise estimation for level-dependent threshold determination in the wavelet domain. The computed thresholds are applied to the averaged wavelet coefficients of the input data. Results: The final result contains data from the complete set of projections, but shows approximately 50% improvement in signal-to-noise ratio. Conclusions: The proposed noise reduction method adapts itself to the noise power in the images and allows for the reduction of spatially varying and oriented noise. © CARS 2007.},
author = {Borsdorf, Anja and Raupach, Rainer and Hornegger, Joachim},
doi = {10.1007/s11548-007-0139-8},
faupublication = {yes},
journal = {International Journal of Computer Assisted Radiology and Surgery},
pages = {255-264},
peerreviewed = {unknown},
title = {{Multiple} {CT}-reconstructions for locally adaptive anisotropic wavelet denoising},
volume = {2},
year = {2008}
}
@inproceedings{faucris.110975304,
address = {Heidelberg},
author = {Budai, Attila and Michelson, Georg and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2010 - Algorithmen, Systeme, Anwendungen,},
date = {2010-03-14/2010-03-16},
editor = {Meinzer Hans-Peter, Deserno Thomas Martin, Handels Heinz, Tolxdorff Thomas},
faupublication = {yes},
pages = {261-265},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Multiscale} {Blood} {Vessel} {Segmentation} in {Retinal} {Fundus} {Images}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Budai10-MBV.pdf},
venue = {Aachen},
year = {2010}
}
@article{faucris.219784459,
abstract = {Robust and fast detection of anatomical structures is a prerequisite for both diagnostic and interventional medical image analysis. Current solutions for anatomy detection are typically based on machine learning techniques that exploit large annotated image databases in order to learn the appearance of the captured anatomy. These solutions are subject to several limitations, including the use of suboptimal feature engineering techniques and most importantly the use of computationally suboptimal search-schemes for anatomy detection. To address these issues, we propose a method that follows a new paradigm by reformulating the detection problem as a behavior learning task for an artificial agent. We couple the modeling of the anatomy appearance and the object search in a unified behavioral framework, using the capabilities of deep reinforcement learning and multi-scale image analysis. In other words, an artificial agent is trained not only to distinguish the target anatomical object from the rest of the body but also how to find the object by learning and following an optimal navigation path to the target object in the imaged volumetric space. We evaluated our approach on 1487 3D-CT volumes from 532 patients, totaling over 500,000 image slices and show that it significantly outperforms state-of-the-art solutions on detecting several anatomical structures with no failed cases from a clinical acceptance perspective, while also achieving a 20-30 percent higher detection accuracy. Most importantly, we improve the detection-speed of the reference methods by 2-3 orders of magnitude, achieving unmatched real-time performance on large 3D-CT scans.},
author = {Ghesu, Florin-Cristian and Georgescu, Bogdan and Zheng, Yefeng and Grbic, Sasa and Maier, Andreas and Hornegger, Joachim and Comaniciu, Dorin},
doi = {10.1109/TPAMI.2017.2782687},
faupublication = {yes},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
keywords = {Deep learning; deep reinforcement learning; intelligent localization; medical image analysis; multi-scale; real-time detection; scale-space modeling; three-dimensional (3D) object detection},
month = {Jan},
note = {CRIS-Team Scopus Importer:2019-06-07},
pages = {176-189},
peerreviewed = {Yes},
title = {{Multi}-{Scale} {Deep} {Reinforcement} {Learning} for {Real}-{Time} {3D}-{Landmark} {Detection} in {CT} {Scans}},
volume = {41},
year = {2019}
}
@article{faucris.119304504,
abstract = {In this paper, we propose a multi-sensor super-resolution framework for hybrid imaging to super-resolve data from one modality by taking advantage of additional guidance images of a complementary modality. This concept is applied to hybrid 3-D range imaging in image-guided surgery, where high-quality photometric data is exploited to enhance range images of low spatial resolution. We formulate super-resolution based on the maximum a-posteriori (MAP) principle and reconstruct high-resolution range data from multiple low-resolution frames and complementary photometric information. Robust motion estimation as required for super-resolution is performed on photometric data to derive displacement fields of subpixel accuracy for the associated range images. For improved reconstruction of depth discontinuities, a novel adaptive regularizer exploiting correlations between both modalities is embedded to MAP estimation. We evaluated our method on synthetic data as well as ex-vivo images in open surgery and endoscopy. The proposed multi-sensor framework improves the peak signal-to-noise ratio by 2 dB and structural similarity by 0.03 on average compared to conventional single-sensor approaches. In ex-vivo experiments on porcine organs, our method achieves substantial improvements in terms of depth discontinuity reconstruction.},
author = {Köhler, Thomas and Haase, Sven and Bauer, Sebastian and Wasza, Jakob and Kilgus, Thomas and Maier-Hein, Lena and Stock, Christian and Hornegger, Joachim and Feussner, Hubertus},
doi = {10.1016/j.media.2015.06.011},
faupublication = {yes},
journal = {Medical Image Analysis},
keywords = {3-D endoscopy; Hybrid range imaging; Open surgery; Sensor fusion; Super-resolution},
note = {UnivIS-Import:2015-10-26:Pub.2015.tech.IMMD.IMMD5.multis},
pages = {220-234},
peerreviewed = {Yes},
title = {{Multi}-{Sensor} {Super}-{Resolution} for {Hybrid} {Range} {Imaging} with {Application} to 3-{D} {Endoscopy} and {Open} {Surgery}},
volume = {24},
year = {2015}
}
@article{faucris.120204964,
abstract = {This paper presents a new algorithm based on the Mumford-Shah model for simultaneously detecting the edge features of two images and jointly estimating a consistent set of transformations to match them. Compared to the current asymmetric methods in the literature, this fully symmetric method allows one to determine one-to-one correspondences between the edge features of two images. The entire variational model is realized in a multiscale framework of the finite element approximation. The optimization process is guided by an estimation minimization-type algorithm and an adaptive generalized gradient flow to guarantee a fast and smooth relaxation. The algorithm is tested on T1 and T2 magnetic resonance image data to study the parameter setting. We also present promising results of four applications of the proposed algorithm: interobject monomodal registration, retinal image registration, matching digital photographs of neurosurgery with its volume data, and motion estimation for frame interpolation. © 2007 IEEE.},
author = {Han, Jingfeng and Berkels, Benjamin and Droske, Marc and Hornegger, Joachim and Rumpf, Martin and Schaller, Carlo and Scorzin, Jasmin and Urbach, Horst},
doi = {10.1109/TIP.2007.906277},
faupublication = {yes},
journal = {IEEE Transactions on Image Processing},
pages = {2720-2732},
peerreviewed = {Yes},
title = {{Mumford}-{Shah} model for one-to-one edge matching},
volume = {16},
year = {2007}
}
@inproceedings{faucris.121160644,
abstract = {Atrial fibrillation (AFib), the most common arrhythmia, has been identified as a major cause of stroke. The current standard in interventional treatment of AFib is the pulmonary vein isolation (PVI). PVI is guided by fluoroscopy or non-fluoroscopic electro-anatomic mapping systems (EAMS). Either classic point-to-point radio-frequency (RF)- catheter ablation or so-called single-shot-devices like cryo-balloons are used to achieve electrically isolation of the pulmonary veins and the left atrium (LA). Fluoroscopy-based systems render overlay images from pre-operative 3-D data sets which are then merged with fluoroscopic imaging, thereby adding detailed 3-D information to conventional fluoroscopy. EAMS provide tracking and visualization of RF catheters by means of electro-magnetic tracking. Unfortunately, current navigation systems, fluoroscopy-based or EAMS, do not provide tools to localize and visualize single shot devices like cryo-balloon catheters in 3-D. We present a prototype software for fluoroscopy-guided ablation procedures that is capable of superimposing 3-D datasets as well as reconstructing cyro-balloon catheters in 3-D. The 3-D cyro-balloon reconstruction was evaluated on 9 clinical data sets, yielded a reprojected 2-D error of 1.72 mm ± 1.02 mm. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).},
author = {Bourier, Felix and Brost, Alexander and Kleinöder, Andreas and Kurzendorfer, Tanja and Koch, Martin and Kiraly, Attila P. and Schneider, Hans-Jürgen and Hornegger, Joachim and Strobel, Norbert and Kurzidim, Klaus},
booktitle = {Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling},
doi = {10.1117/12.911446},
faupublication = {yes},
pages = {-},
title = {{Navigation} for fluoroscopy-guided cryo-balloon ablation procedures of atrial fibrillation},
venue = {San Diego, CA},
volume = {8316},
year = {2012}
}
@inproceedings{faucris.113140984,
author = {Koch, Martin and Langenkamp, Arne and Kirally, Atilla and Brost, Alexander and Hornegger, Joachim and Strobel, Norbert},
booktitle = {23rd Conference of the Society for Medical Innovation and Technology (SMIT)},
date = {2011-09-13/2011-09-16},
editor = {SMIT Society},
faupublication = {yes},
pages = {1-2},
peerreviewed = {unknown},
title = {{Navigation} {System} with {Contact} {Force} {Assessment} to {Guide} {Pulmonary} {Vein} {Isolation} {Procedures}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Koch11-NSW.pdf},
venue = {Tel Aviv},
year = {2011}
}
@article{faucris.120201224,
abstract = {In this review, current neurochemical dementia diagnostics (NDD) procedures are presented with a focus on biomarkers in the cerebrospinal fluid (CSF) and blood: amyloid β peptides, tau protein, and its phosphorylated form (pTau). CSF analysis is an increasingly important tool for early and differential diagnosis of dementia syndromes. Although lumbar puncture is a mildly invasive procedure with a low incidence of complications, establishing blood assays capable of reliably measuring NDD biomarkers is an aim of several studies worldwide. © 2008 Springer.},
author = {Lewczuk, Piotr and Hornegger, Joachim and Zimmermann, Rüdiger and Otto, Markus and Wiltfang, Jens and Kornhuber, Johannes},
doi = {10.1007/s00406-008-5005-3},
faupublication = {yes},
journal = {European archives of psychiatry and clinical neuroscience},
pages = {44-49},
peerreviewed = {Yes},
title = {{Neurochemical} dementia diagnostics: {Assays} in {CSF} and blood},
volume = {258},
year = {2008}
}
@inproceedings{faucris.121369424,
author = {Borsdorf, Anja and Kappler, Steffen and Raupach, Rainer and Noo, Frédéric and Hornegger, Joachim},
booktitle = {The 20th UCAIR Symposium},
date = {2008-09-26},
editor = {UCAIR Symposium},
faupublication = {yes},
pages = {24.0},
peerreviewed = {unknown},
title = {{Noise} {Adaptice} {Bilateral} {Filtering} in {Computed} {Tomography}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Borsdorf08-NAB.pdf},
venue = {Salt Lake City},
year = {2008}
}
@article{faucris.121194524,
abstract = {We introduce a novel approach to specify and edit volumes of interest (VOI for short) interactively. Enhancing the capabilities of standard systems we provide tools to edit the VOI by defining a not necessarily convex polyhedral bounding object. We suggest to use low-level editing interactions for moving, inserting and deleting vertices, edges and faces of the polyhedron. The low-level operations can be used as building blocks for more complex higher order operations fitting the application demands. Flexible initialization allows the user to select within a few clicks convex VOI that in the classical clipping plane model need the specification of a large number of cutting planes. In our model it is similarly simple to select non-convex VOI. Boolean combinations allow to select non-connected VOI of arbitrary complexity. The polyhedral VOI selection technique enables the user to define VOI with complex boundary structure interactively, in an easy to comprehend and predictable manner. © 2009 Elsevier Ltd. All rights reserved.},
author = {Fuchs, Raphael and Welker, Volkmar and Hornegger, Joachim},
doi = {10.1016/j.compmedimag.2009.07.002},
faupublication = {yes},
journal = {Computerized Medical Imaging and Graphics},
pages = {105-113},
peerreviewed = {Yes},
title = {{Non}-convex polyhedral volume of interest selection},
volume = {34},
year = {2010}
}
@inproceedings{faucris.113137024,
address = {Erlangen},
author = {Mayer, Markus Anton and Borsdorf, Anja and Köstler, Harald and Hornegger, Joachim and Rüde, Ulrich},
booktitle = {3rd Russian-Bavarian Conference on Biomedical Engineering},
date = {2007-07-02/2007-07-03},
editor = {Hornegger Joachim, Mayr Ernst W., Schookin Sergey, Feußner Hubertus, Navab Nassir, Gulyaev Yuri V., Höller Kurt, Ganzha Victor},
faupublication = {yes},
pages = {155-159},
peerreviewed = {unknown},
publisher = {Union aktuell},
title = {{Nonlinear} {Diffusion} {Noise} {Reduction} in {CT} {Using} {Correlation} {Analysis}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Mayer07-NDN.pdf},
venue = {Erlangen},
year = {2007}
}
@inproceedings{faucris.107866264,
address = {Saarbrücken},
author = {Mayer, Markus Anton and Borsdorf, Anja and Köstler, Harald and Hornegger, Joachim and Rüde, Ulrich},
booktitle = {Vision, Modelling, and Visualisation 2007},
date = {2007-11-07/2007-11-09},
editor = {Lensch H.P.A., Rosenhahn B., Seidel H.-P., Slusallek P., Weickert J.},
faupublication = {yes},
pages = {223-232},
peerreviewed = {unknown},
publisher = {Max-Planck-Institut fuer Informatik},
title = {{Nonlinear} {Diffusion} vs. {Wavelet} {Based} {Noise} {Reduction} in {CT} {Using} {Correlation} {Analysis}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Mayer07-NDV.pdf},
venue = {Saarbrücken},
year = {2007}
}
@inproceedings{faucris.107981104,
author = {Rohkohl, Christopher and Lauritsch, Günter and Hornegger, Joachim},
booktitle = {Proceedings of 11th Fully 3D Meeting and 3rd HPIR Workshop},
date = {2011-07-11/2011-07-15},
editor = {Kachelrieß Marc, Rafecas Magdalena},
faupublication = {yes},
pages = {462-465},
peerreviewed = {unknown},
title = {{Non}-{Periodic} 3-{D} {Motion} {Estimation} and {Reconstruction} of {Coronary} {Stents}},
venue = {Potsdam},
year = {2011}
}
@inproceedings{faucris.107888264,
address = {Chicago, USA},
author = {Römer, Wolfgang and Hornegger, Joachim and Han, Jingfeng and Bautz, Werner and Kuwert, Torsten},
booktitle = {RSNA2004},
date = {2004-11-28/2004-12-03},
editor = {The Radiological Society of North America},
faupublication = {yes},
pages = {356.0},
peerreviewed = {unknown},
publisher = {RSNA},
title = {{Non}-rigid {Fusion} of {Morphological} and {Functional} {Images} {Using} {Anatomical} {Fix} {Points} and {Contours} - {A} {New} {Approach} to {Overcome} the {Current} {Drawbacks} of {Retrospective} {Image} {Fusion}},
venue = {Chicago, IL},
year = {2005}
}
@inproceedings{faucris.108066244,
author = {Bouattour, Sahla and Heigl, Benno and Paulus, Dietrich and Hornegger, Joachim},
booktitle = {Vision, Modeling and Visualization 03},
date = {2003-11-19/2003-11-21},
editor = {Ertl Thomas, Girod B., Greiner Günther, Niemann Heinrich, Seidel H.-P., Steinbach E., Westermann Rüdiger},
faupublication = {yes},
pages = {73-80},
peerreviewed = {unknown},
title = {{Non}-rigid movements of heart region from many angiographics views},
venue = {München},
year = {2003}
}
@inproceedings{faucris.119046444,
abstract = {Registration methods frequently rely on prior information in order to generate anatomical meaningful transformations between medical scans. In this paper, we propose a novel intensity based non-rigid registration framework, which is guided by landmarks and a regularizer based on Principle Component Analysis (PCA). Unlike existing methods in this domain, the computational complexity of our approach reduces with the number of landmarks. Furthermore, our PCA is invariant to translations. The additional regularizer is based on the outcome of this PCA. We register a skull CT scan to MR scans aquired by a MR/PET hybrid scanner. This aligned CT scan can then be used to gain an attenuation map for PET reconstruction. As a result we have a Dice coefficient for bone areas at 0.71 and a Dice coefficient for bone and soft issue areas at 0.97. © 2012 IEEE.},
author = {Eckl, Jutta and Daum, Volker and Hornegger, Joachim and Pohl, Kilian M.},
booktitle = {2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012},
doi = {10.1109/ISBI.2012.6235645},
faupublication = {yes},
pages = {704-707},
title = {{Non}-rigid registration guided by landmarks and learning},
venue = {Barcelona},
volume = {null},
year = {2012}
}
@article{faucris.121202004,
abstract = {A major disadvantage of magnetic resonance imaging (MRI) compared to other imaging modalities like computed tomography is the fact that its intensities are not standardized. Our contribution is a novel method for MRI signal intensity standardization of arbitrary MRI scans, so as to create a pulse sequence dependent standard intensity scale. The proposed method is the first approach that uses the properties of all acquired images jointly (e.g., T1- and T2-weighted images). The image properties are stored in multidimensional joint histograms. In order to normalize the probability density function (pdf) of a newly acquired data set, a nonrigid image registration is performed between a reference and the joint histogram of the acquired images. From this matching a nonparametric transformation is obtained, which describes a mapping between the corresponding intensity spaces and subsequently adapts the image properties of the newly acquired series to a given standard. As the proposed intensity standardization is based on the probability density functions of the data sets only, it is independent of spatial coherence or prior segmentations of the reference and current images. Furthermore, it is not designed for a particular application, body region or acquisition protocol. The evaluation was done using two different settings. First, MRI head images were used, hence the approach can be compared to state-of-the-art methods. Second, whole body MRI scans were used. For this modality no other normalization algorithm is known in literature. The Jeffrey divergence of the pdfs of the whole body scans was reduced by 45%. All used data sets were acquired during clinical routine and thus included pathologies. © 2006 IEEE.},
author = {Hornegger, Joachim and Jäger, Florian},
doi = {10.1109/TMI.2008.2004429},
faupublication = {yes},
journal = {IEEE Transactions on Medical Imaging},
pages = {137-150},
peerreviewed = {Yes},
title = {{Nonrigid} registration of joint histograms for intensity standardization in magnetic resonance imaging},
volume = {28},
year = {2009}
}
@inproceedings{faucris.107970984,
address = {Heidelberg},
author = {Paulus, Jan and Bock, Rüdiger and Daum, Volker and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2010 - Algorithmen, Systeme, Anwendungen},
date = {2010-03-14/2010-03-16},
editor = {Meinzer Hans-Peter, Deserno Thomas Martin, Tolxdorff Thomas},
faupublication = {yes},
pages = {221-225},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Non}-{Rigid} {Registration} to {Capture} {Optic} {Nerve} {Head} {Variability}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Paulus10-NRT.pdf},
venue = {Aachen},
year = {2010}
}
@inproceedings{faucris.121345444,
address = {Berlin},
author = {Balda, Michael and Heismann, Björn and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin},
date = {2010-03-14/2010-03-16},
editor = {Meinzer Hans-Peter, Deserno Thomas Martin, Handels Heinz, Tolxdorff Thomas},
faupublication = {yes},
pages = {191-195},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Non}-stationary {CT} image noise spectrum analysis},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Balda10-NCI.pdf},
venue = {Aachen},
year = {2010}
}
@inproceedings{faucris.121550924,
abstract = {Retinal Image Quality Assessment (RIQA) is an essential preliminarily step in Automatic Retinal Screening Systems (ARSS) to avoid misdiagnosis of retinal disease. In this work, a no-reference wavelet based RIQA algorithm suitable for real-time ARSS is introduced. Retinal images are classified into good and bad quality images using two proposed metrics. These measures are extracted from the wavelet decomposition subbands of the image to reflect sharpness and contrast. Wavelet level and regional analyses are performed to determine the most relevant levels and retinal region to be used in the RIQA. The algorithm is tested on two publicly available datasets with different resolutions. Area under the ROC curve (AUC) of 1 and 0.985 are obtained for the low and high resolution datasets respectively with runtime ranging between 0.1 and 2 seconds depending on image resolution. Comparison with other RIQA algorithms shows superiority of the proposed algorithm in both performance and time.},
author = {Abdel Hamid, L. S. and El-Rafei, A. and El-Ramly, S. and Michelson, Georg and Hornegger, Joachim},
booktitle = {5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015},
faupublication = {yes},
isbn = {9781138029262},
keywords = {Real-time system; Retinal Image Quality Assessment; Wavelet transform},
pages = {123-130},
peerreviewed = {unknown},
publisher = {CRC Press/Balkema},
title = {{No}-reference wavelet based retinal image quality assessment},
url = {http://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959286262&origin=inward},
year = {2016}
}
@inproceedings{faucris.120321564,
author = {Koch, Martin and Kleinöder, Andreas and Bourier, Felix and Hornegger, Joachim and Strobel, Norbert},
booktitle = {Proceedings of 2013 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
date = {2013-04-07},
editor = {IEEE},
faupublication = {yes},
pages = {TBD},
title = {{Novel} {Method} for {Comparison} of {Pre}-{Planned} {Ablation} {Lines} for {Treatment} of {Atrial} {Fibrillation} {Using} a {Common} {Reference} {Model}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Koch13-NMF.pdf},
venue = {San Francisco, CA, USA},
year = {2013}
}
@inproceedings{faucris.113122504,
author = {Forman, Christoph and Piccini, Davide and Hornegger, Joachim and Zenge, Michael O.},
booktitle = {Proceedings of the 21st Annual Meeting of ISMRM},
date = {2013-04-20/2013-04-26},
editor = {ISMRM},
faupublication = {yes},
pages = {1294.0},
title = {{Novel} {Projection}-{Based} {Unsupervised} {Respiratory} {Motion} {Feedback} for {Free}-{Breathing} {Whole}-{Heart} {Coronary} {MR} {Imaging}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Forman13-NPU.pdf},
venue = {Salt Lake City, UT},
year = {2013}
}
@inproceedings{faucris.108060964,
address = {Brno, Czech Republic},
author = {Meier, Jörg and Bock, Rüdiger and Nyul, Laszlo G. and Hornegger, Joachim and Michelson, Georg},
booktitle = {Analysis of Biomedical Signals and Images, Proceedings of the Biosignal 2008 International Eurasip Conference},
date = {2008-06-29/2008-07-01},
editor = {Jan J., Konzuplik J., Provaznik I.},
faupublication = {yes},
pages = {no pagination},
peerreviewed = {unknown},
publisher = {Vutium Press},
title = {{Novel} {Visualization} {Approach} of an {Automated} {Image} {Based} {Glaucoma} {Risk} {Index} for {Intuitive} {Diagnosis}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Meier08-NVA.pdf},
venue = {Brno},
year = {2008}
}
@inproceedings{faucris.108241584,
address = {-},
author = {Hornegger, Joachim and Niemann, Heinrich and Paulus, Dietrich and Schlottke, Gero},
booktitle = {Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems},
date = {1994-06-01/1994-06-03},
doi = {10.1016/B978-0-444-81892-8.50009-2},
editor = {Gelsema E.S., Kanal L.N.},
faupublication = {yes},
pages = {37-44},
peerreviewed = {unknown},
publisher = {Elsevier},
title = {{Object} recognition using {Hidden} {Markov} {Models}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1994/Hornegger94-ORU.pdf},
venue = {Vlieland},
year = {1994}
}
@inproceedings{faucris.118309224,
abstract = {Feature point tracking and detection of X-ray images is challenging due to overlapping anatomical structures of different depths, which lead to low-contrast images. Tracking of motion in X-ray sequences can support many clinical applications like motion compensation or two- or three-dimensional registration algorithms. This paper is the first to evaluate the performance of several feature tracking and detection algorithms on artificial and real X-ray image sequences, which involve rigid motion as well as external disturbances. A stand-alone application has been developed to provide an overall test bench for all algorithms, realized by OpenCV implementations. Experiments show that the Karhunen Loeve Transform-based Tracker is the most consistent and effective tracking algorithm. Considering external disturbances, template matching provides the most sufficient results. Furthermore, the influence of feature point detection methods on tracking results is shown.},
address = {Berlin Heidelberg},
author = {Klüppel, Moritz and Wang, Jian and Bernecker, David and Fischer, Peter and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2014},
date = {2014-03-16/2014-03-18},
doi = {10.1007/978-3-642-54111-7{\_}28},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.onfeat},
pages = {132-137},
publisher = {Springer},
series = {Informatik aktuell},
title = {{On} {Feature} {Tracking} in {X}-{Ray} {Images}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Klueppel14-OFT.pdf},
venue = {Aachen},
year = {2014}
}
@article{faucris.121339944,
author = {Rothgang, Eva and Kickhefel, Antje and Roland, Jörg and Rosenberg, Christian and Hornegger, Joachim and Lorenz, Christine H.},
doi = {10.1007/s10334-009-0178-y},
faupublication = {yes},
journal = {Magnetic Resonance Materials in Physics Biology and Medicine},
pages = {390.0},
peerreviewed = {Yes},
title = {{Online} improvement of the reliability of {PRF} based temperature maps displayed during laser-induced thermotherapy of liver lesions},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Rothgang09-OIO.pdf},
volume = {22.0},
year = {2009}
}
@inproceedings{faucris.118748124,
abstract = {Over the last years, several methods have been proposed to guide the physician during reduction and fixation of bone fractures. Available solutions often use bulky instrumentation inside the operating room (OR). The latter ones usually consist of a stereo camera, placed outside the operative field, and optical markers directly attached to both the patient and the surgical instrumentation, held by the surgeon. Recently proposed techniques try to reduce the required additional instrumentation as well as the radiation exposure to both patient and physician. In this paper, we present the adaptation and the first implementation of our recently proposed video camera-based solution for screw fixation guidance. Based on the simulations conducted in our previous work, we mounted a small camera on a drill in order to recover its tip position and axis orientation w.r.t our custom-made drill sleeve with attached markers. Since drill-position accuracy is critical, we thoroughly evaluated the accuracy of our implementation. We used an optical tracking system for ground truth data collection. For this purpose, we built a custom plate reference system and attached reflective markers to both the instrument and the plate. Free drilling was then performed 19 times. The position of the drill axis was continuously recovered using both our video camera solution and the tracking system for comparison. The recorded data covered targeting, perforation of the surface bone by the drill bit and bone drilling. The orientation of the instrument axis and the position of the instrument tip were recovered with an accuracy of 1:60 ± 1:22° and 2:03 ± 1:36 mm respectively. © 2014 SPIE.},
address = {Proc. SPIE 9036},
author = {Magaraggia, Jessica and Kleinszig, Gerhard and Wei, Wei and Weiten, Markus and Graumann, Rainer and Angelopoulou, Elli and Hornegger, Joachim},
booktitle = {SPIE Medical Imaging 2014},
date = {2014-02-18/2014-02-20},
doi = {10.1117/12.2043508},
faupublication = {yes},
keywords = {Video-guided method, Real-time guidance, Orthopedic and Trauma Surgery, Drill Sleeve},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.onthea{\_}7},
pages = {903610-903610},
title = {{On} the {Accuracy} of a {Video}-{Based} {Drill}-{Guidance} {Solution} for {Orthopedic} and {Trauma} {Surgery}: {Preliminary} {Results}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Magaraggia14-OTA.pdf},
venue = {Town and Country Resort and Convention Center, San Diego, California},
volume = {903610},
year = {2014}
}
@article{faucris.120692044,
abstract = {We observe and induce conformational switching of individual molecules via scanning tunneling microscopy (STM) at and close to room temperature. 2H-5,10,15,20-Tetrakis-(3,5-di-tert-butyl)-phenylporphyrin adsorbed on Cu(111) forms a peculiar supramolecular ordered phase in which the molecules arrange in alternating rows, with two distinct appearances in STM which are assigned to concave and convex intramolecular conformations. Around room temperature, frequent bidirectional conformational switching of individual molecules from concave to convex and vice versa is observed. From the temperature dependence, detailed insights into the energy barriers and entropic contributions of the switching processes are deduced. At 200 K, controlled STM tip-induced unidirectional switching is possible, yielding an information storage density of 4.9 × 10 bit/inch. With this contribution we demonstrate that controlled switching of individual molecules at comparably high temperatures is possible and that entropic effects can be a decisive factor in potential molecular devices at these temperatures. © 2014 American Chemical Society.},
author = {Ditze, Stefanie and Stark, Michael Werner and Buchner, Florian and Aichert, André and Jux, Norbert and Luckas, Nicola and Görling, Andreas and Hieringer, Wolfgang and Hornegger, Joachim and Steinrück, Hans-Peter and Marbach, Hubertus},
doi = {10.1021/ja411884p},
faupublication = {yes},
journal = {Journal of the American Chemical Society},
month = {Jan},
pages = {1609-1616},
peerreviewed = {Yes},
title = {{On} the energetics of conformational switching of molecules at and close to room temperature},
volume = {136},
year = {2014}
}
@inproceedings{faucris.120190444,
abstract = {Capsule Endoscopy (CE) was introduced in 2000 and has since become an established diagnostic procedure for the small bowel, colon and esophagus. For the CE examination the patient swallows the capsule, which then travels through the gastrointestinal tract under the influence of the peristaltic movements. CE is not indicated for stomach examination, as the capsule movements can not be controlled from the outside and the entire surface of the stomach can not be reliably covered. Magnetically-guided capsule endoscopy (MGCE) was introduced in 2010. For the MGCE procedure the stomach is filled with water and the capsule is navigated from the outside using an external magnetic field. During the examination the operator can control the motion of the capsule in order to obtain a sufficient number of stomach-surface images with diagnostic value. The quality of the examination depends on the skill of the operator and his ability to detect aspects of interest in real time. We present a novel computer-assisted diagnostic-procedure (CADP) algorithm for indicating gastritis pathologies in the stomach during the examination. Our algorithm is based on pre-processing methods and feature vectors that are suitably chosen for the challenges of the MGCE imaging (suspended particles, bubbles, lighting). An image is classified using an ada-boost trained classifier. For the classifier training, a number of possible features were investigated. Statistical evaluation was conducted to identify relevant features with discriminative potential. The proposed algorithm was tested on 12 video sequences stemming from 6 volunteers. A mean detection rate of 91.17% was achieved during leave-one out cross-validation. © 2011 SPIE.},
author = {Mewes, Philip and Neumann, Dominik and Juloski, Aleksandar Lj and Angelopoulou, Elli and Hornegger, Joachim},
booktitle = {Medical Imaging 2011: Computer-Aided Diagnosis},
doi = {10.1117/12.878803},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{On}-the-fly detection of images with gastritis aspects in magnetically guided capsule endoscopy},
venue = {Lake Buena Vista, FL},
volume = {7963},
year = {2011}
}
@inproceedings{faucris.110588764,
author = {Scherl, Holger and Hoppe, Stefan and Dennerlein, Frank and Lauritsch, Günter and Eckert, Wieland and Kowarschik, Markus and Hornegger, Joachim},
booktitle = {Proceedings Fully3D Meeting and HPIR Workshop},
date = {2007-07-09/2007-07-13},
editor = {..},
faupublication = {yes},
pages = {29-32},
peerreviewed = {unknown},
title = {{On}-the-fly-{Reconstruction} in {Exact} {Cone}-{Beam} {CT} using the {Cell} {Broadband} {Engine} {Architecture}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Scherl07-OIE.pdf},
venue = {Lindau},
year = {2007}
}
@inproceedings{faucris.121180224,
abstract = {Reconstruction of 3-D volumetric data from C-arm CT projections is a computationally demanding task. For interventional image reconstruction, hardware optimization is mandatory. Manufacturers of medical equipment use a variety of high-performance computing (HPC) platforms, like FPGAs, graphics cards, or multi-core CPUs. A problem of this diversity is that many different frameworks and (vendor-specific) programming languages are used. Furthermore, it is costly to switch the platform, since the code has to be re-written, verified, and optimized. OpenCL, a relatively new industry standard for HPC, promises to enable portable code. Its key idea is to abstract hardware in a way that allows an efficient mapping onto real CPUs, GPUs, and other hardware. The code is compiled for the actual target by the device driver. In this work we investigated the suitability of OpenCL as a tool to write portable code that runs efficiently across different hardware. The problems chosen are back- and forward-projection, the most time-consuming parts of (iterative) reconstruction. We present results on three platforms, a multi-core CPU system and two GPUs, and compare them against manually optimized native implementations. We found that OpenCL allows to share a common framework in one language across platforms. However, considering differences in the underlying architecture, a hardware-oblivious implementation cannot be expected to deliver maximal performance. By optimizing the OpenCL code for the specific hardware we reached over 90% of native performance for both problems, back- and forward-projection, on all platforms. ̈ 2011 SPIE.},
author = {Siegl, Christian and Hofmann, Hannes and Keck, Benjamin and Prümmer, Marcus and Hornegger, Joachim},
booktitle = {Medical Imaging 2011: Physics of Medical Imaging},
doi = {10.1117/12.878058},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{OpenCL}: {A} viable solution for high-performance medical image reconstruction?},
venue = {Lake Buena Vista, FL},
volume = {7961},
year = {2011}
}
@inproceedings{faucris.108170304,
author = {Schwemmer, Chris and Rohkohl, Christopher and Lauritsch, Günter and Müller, Kerstin and Hornegger, Joachim},
booktitle = {Proceedings of the 12th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine},
date = {2013-06-16/2013-06-21},
editor = {Leahy Richard, Qi Jinyi},
faupublication = {yes},
pages = {50-53},
title = {{Opening} {Windows} - {Increasing} {Window} {Size} in {Motion}-{Compensated} {ECG}-gated {Cardiac} {Vasculature} {Reconstruction}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Schwemmer13-OW-.pdf},
venue = {Lake Tahoe, CA},
year = {2013}
}
@inproceedings{faucris.111135244,
abstract = {We present an open-source 4D (3D+t) statistical shape model of the heart developed as numerical phantom for cone-beam CT simulation. The training set consists of surface meshes from 20 ten-phase-CT angiography data sets extracted using automatic registration-based segmentation. Incorporating 90% of the training set variation, the model exhibits a generalization ability of 5.00 ± 0.93 mm and specificity of 7.30 ± 0.97 mm. The model is implemented in CONRAD, an open-source simulation and reconstruction framework. We provide all algorithms and high resolution projection data on the project's homepage. To the best of our knowledge, this is the first open-source 4D statistical shape model of the heart.},
author = {Unberath, Mathias and Maier, Andreas and Fleischmann, Dominik and Hornegger, Joachim and Fahrig, Rebecca},
booktitle = {Proceedings of the ISBI},
date = {2015-04-16/2015-04-19},
doi = {10.1109/ISBI.2015.7163978},
faupublication = {yes},
isbn = {9781479923748},
keywords = {cone-beam; CT; numerical phantom; open-source; Simulation; XCAT},
note = {UnivIS-Import:2017-12-18:Pub.2015.tech.IMMD.IMMD5.openso},
pages = {739-742},
peerreviewed = {unknown},
publisher = {IEEE Computer Society},
title = {{Open}-source {4D} {Statistical} {Shape} {Model} of the {Heart} for {X}-ray {Projection} {Imaging}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Unberath15-O4S.pdf},
venue = {Brooklyn, NY},
volume = {2015-July},
year = {2015}
}
@article{faucris.114047384,
abstract = {Conclusions Based on OCT angiography, the FI measurement is feasible, highly repeatable and reproducible, and it is suitable for clinical measurement of ONH and parafoveal perfusion. The ONH FI may be useful in detecting damage from ON and quantifying its severity.},
author = {Wang, Xiaogang and Jia, Yali and Spain, Rebecca and Potsaid, Benjamin and Liu, Jonathan J. and Baumann, Bernhard and Hornegger, Joachim and Fujimoto, James G. and Wu, Qiang and Huang, David},
doi = {10.1136/bjophthalmol-2013-304547},
faupublication = {yes},
journal = {British Journal of Ophthalmology},
pages = {1368-1373},
peerreviewed = {Yes},
title = {{Optical} coherence tomography angiography of optic nerve head and parafovea in multiple sclerosis},
volume = {98},
year = {2014}
}
@inproceedings{faucris.108234324,
author = {Schuhmann, Peter and Penne, Jochen and Schaller, Christian and Zeintl, Johannes and Hornegger, Joachim and Kuwert, Torsten},
booktitle = {NuklearMedizin 2008},
date = {2008-04-23/2008-04-26},
editor = {Deutsche Gesellschaft für Nuklearmedizin},
faupublication = {yes},
pages = {V166},
peerreviewed = {unknown},
title = {{Optical} {Tracking} of {Respiratory} {Motion} {Using} a {Time} of {Flight} {Camera} and its {Applicability} in {Emission} {Tomography}},
venue = {Leipzig},
year = {2008}
}
@inproceedings{faucris.108049524,
author = {Grimm, Robert and Bauer, Simon and Kiefer, Berthold and Hornegger, Joachim and Block, Kai Tobias},
booktitle = {Proceedings of International Society for Magnetic Resonance in Medicine},
date = {2013-04-20/2013-04-26},
editor = {Gold Garry E.},
faupublication = {yes},
pages = {3749.0},
title = {{Optimal} {Channel} {Selection} for {Respiratory} {Self}-{Gating} {Signals}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Grimm13-OCS.pdf},
venue = {Salt Lake City, UT},
year = {2013}
}
@inproceedings{faucris.113181024,
address = {-},
author = {Schukat-Talamazzini, Günter and Hornegger, Joachim and Niemann, Heinrich},
booktitle = {Proc. Int. Conf. on Acoustics, Speech and Signal Processing},
date = {1995-05-09/1995-05-12},
doi = {10.1109/ICASSP.1995.479598},
editor = {IEEE},
faupublication = {yes},
pages = {369-372},
peerreviewed = {unknown},
publisher = {-},
title = {{Optimal} {Linear} {Feature} {Transformations} for {Semi}-{Continuous} {Hidden} {Markov} {Models}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1995/SchukatTalamazzini95-OLF.pdf},
venue = {Detroit, MI},
year = {1995}
}
@inproceedings{faucris.121408804,
author = {Arold, Oliver and Bock, Rüdiger and Meier, Jörg and Michelson, Georg and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2008 - Algorithmen, Systeme, Anwendungen},
date = {2008-04-06/2008-04-08},
doi = {10.1007/978-3-540-78640-5{\_}44},
editor = {GMDS BVMI IEEE},
faupublication = {yes},
pages = {217-221},
peerreviewed = {unknown},
title = {{Optimierte} {Segmentierung} der {Papille} in {HRT}-{Retinaaufnahmen}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Arold08-OSD.pdf},
venue = {Berlin},
year = {2008}
}
@inproceedings{faucris.108106064,
address = {Heidelberg},
author = {Hornegger, Joachim and Niemann, Heinrich},
booktitle = {Proceedings on the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition},
date = {1997-05-21/1997-05-23},
doi = {10.1007/3-540-62909-2{\_}88},
editor = {Pelillo M., Hancock E.R.},
faupublication = {yes},
pages = {311-326},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Optimization} {Problems} in {Statistical} {Object} {Recognition}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1997/Hornegger97-OPI.pdf},
venue = {Venice},
year = {1997}
}
@article{faucris.114000084,
abstract = {Purpose Catheter ablation is a common treatment option for atrial fibrillation (AF). Interventional C-arm X-ray systems are used for guiding AF procedures, employing standard view positions. Since the projection angles are not adapted to the individual patient anatomy, standard projections do not necessarily offer the best views of important anatomical structures. Using a pre-procedural 3D data set acquired with MRI or CT, suitable ablation sites (lines) can be identified in advance so an ablation plan can be superimposed on fluoroscopic images to guide the procedure. Methods A method was developed to estimate optimized projection views for biplane X-ray C-arm systems based on planning data for AF ablation procedures. The estimated viewing angles were compared to standard angulations using an objective quality metric, the length of the planned ablation line as seen under X-ray. This method was tested using 35 clinical datasets annotated with planned ablation lines for ipsilateral pulmonary vein isolation. Results The optimized views computed using the new method yielded 28 % less foreshortening of pre-planned ablation lines on average. In one case, anatomy-based view calculation lead to a 69 % reduction in foreshortening. Conclusion The commonly used standard views provide reasonable a priori choices, and some improvement is possible by switching among common angulations depending on the treatment region. Further gains are possible by using anatomy-optimized biplane C-arm angulations. © 2014 CARS.},
author = {Koch, Martin and Hoffmann, Matthias and Pfister, Marcus and Hornegger, Joachim and Strobel, Norbert},
doi = {10.1007/s11548-014-1103-z},
faupublication = {yes},
journal = {International Journal of Computer Assisted Radiology and Surgery},
keywords = {Electrophysiology; Fluoroscopic projection; Pulmonary vein isolation; Treatment planning},
note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.optimi{\_}1},
pages = {1-14},
peerreviewed = {Yes},
title = {{Optimized} viewing angles for cardiac electrophysiology ablation procedures},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Koch14-OVA.pdf},
volume = {tbd},
year = {2014}
}
@article{faucris.120194844,
abstract = {A known problem in endoscopic surgery (especially with flexible video endoscopes) is the absence of a stable horizon in endoscopic images displayed on a monitor. With our "ENDOrientation" approach, image rectification, even in non-rigid endoscopic surgery (particularly NOTES), can be realized with a tiny MEMS tri-axial inertial sensor placed on the tip of an endoscope. This sensor measures the impact of gravity on each of the three orthogonal accelerometer axes in real time. After an initial calibration and temporal filtering of these three data steams, the rotation angle of an endoscope can be estimated directly. The achievable sampling rate of the inertial sensor is above the usual endoscopic video frame rate of 25 Hz; the rotation accuracy is approximately one degree. The image rectification can be performed in real time by digitally rotating the endoscopic video signal. Improvements and benefits have been evaluated in animal studies: coordination and movement of different instruments was rated to be much more intuitive with a stable horizon on endoscopic images. The recorded time stamps and position tracks clearly support this observation. © 2010 by Walter de Gruyter.},
author = {Höller, Kurt Emmerich and Schneider, Armin and Jahn, Jasper and Gutierrez, Javier and Wittenberg, Thomas and Meining, Alexander and Von Delius, Stefan and Hornegger, Joachim and Feussner, Hubertus},
doi = {10.1515/BMT.2010.032},
faupublication = {yes},
journal = {Biomedizinische Technik},
pages = {211-217},
peerreviewed = {Yes},
title = {{Orientation} of endoscopic images: {Rectification} by gravity},
volume = {55},
year = {2010}
}
@inproceedings{faucris.122597024,
address = {Berlin Heidelberg},
author = {Köhler, Thomas and Haase, Sven and Bauer, Sebastian and Wasza, Jakob and Kilgus, Thomas and Maier-Hein, Lena and Feußner, Hubertus and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2014},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.outlie{\_}5},
pages = {84-89},
publisher = {Springer},
title = {{Outlier} {Detection} for {Multi}-{Sensor} {Super}-{Resolution} in {Hybrid} 3-{D} {Endoscopy}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Koehler14-ODF.pdf},
venue = {Aachen},
year = {2014}
}
@inproceedings{faucris.203709495,
abstract = {This paper proposes a novel method to deal with overexposure for C-arm CT reconstruction. The proposed method is based on recent progress of one bit compressive sensing (1bit-CS), which is to recover sparse signals from sign measurements. Overexposure could be regarded as a kind of sign information, thus the application of 1bit-CS to overexposure correction in CT reconstruction is expected. This method is evaluated on a phantom and its promising performance implies potential application on clinical data.},
address = {Berlin},
author = {Huang, Xiaolin and Xia, Yan and Huang, Yixing and Hornegger, Joachim and Maier, Andreas},
booktitle = {Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen},
date = {2017-03-12/2017-03-14},
doi = {10.1007/978-3-662-54345-0},
editor = {Klaus Hermann Maier-Hein, geb. Fritzsche, Thomas Martin Deserno, geb. Lehmann, Heinz Handels,Thomas Tolxdorff},
faupublication = {yes},
isbn = {978-3-662-54344-3},
keywords = {Overexposure; Mixed One-bit; Compressive Sensing},
note = {UnivIS-Import:2018-09-06:Pub.2017.tech.IMMD.IMMD5.overex},
pages = {50-55},
peerreviewed = {Yes},
publisher = {Springer},
title = {{Overexposure} {Correction} by {Mixed} {One}-bit {Compressive} {Sensing} for {C}-{Arm} {CT}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-OCB.pdf},
venue = {Heidelberg},
year = {2017}
}
@inproceedings{faucris.118785084,
author = {Preuhs, Alexander and Berger, Martin and Xia, Yan and Maier, Andreas and Hornegger, Joachim and Fahrig, Rebecca},
booktitle = {Bildverarbeitung für die Medizin 2015},
faupublication = {yes},
keywords = {GRK-1773},
note = {UnivIS-Import:2015-04-17:Pub.2015.tech.IMMD.IMMD5.overex{\_}3},
pages = {35-40},
title = {{Over}-{Exposure} {Correction} in {CT} {Using} {Optimization}-{Based} {Multiple} {Cylinder} {Fitting}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Preuhs15-OCI.pdf},
venue = {Lübeck},
year = {2015}
}
@inproceedings{faucris.120320904,
address = {Erlangen},
author = {Han, Jingfeng and Qiao, Min and Hornegger, Joachim and Kuwert, Torsten and Bautz, Werner and Römer, Wolfgang},
booktitle = {Frontiers in Simulation},
date = {2005-09-12/2005-09-15},
editor = {Hülsemann Frank, Kowarschik Markus, Rüde Ulrich},
faupublication = {yes},
pages = {644-645},
peerreviewed = {unknown},
publisher = {SCS Publishing House e.V.},
title = {{Partial} {Image} {Data} {Registration} using {Stochastic} {Optimization}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Han05-PID.pdf},
venue = {Erlangen},
year = {2005}
}
@inproceedings{faucris.118748784,
author = {Haase, Sven and Wasza, Jakob and Safak, Mustafa and Kilgus, Thomas and Maier-Hein, Lena and Feußner, Hubertus and Hornegger, Joachim},
booktitle = {2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.patchb},
pages = {509-512},
title = {{Patch} based {Specular} {Reflection} {Removal} for {Range} {Images} in {Hybrid} 3-{D} {Endoscopy}},
venue = {Beijing, China},
year = {2014}
}
@inproceedings{faucris.118749004,
author = {Xia, Yan and Bauer, Sebastian and Maier, Andreas and Berger, Martin and Hornegger, Joachim},
booktitle = {Proceedings of the third international conference on image formation in x-ray computed tomography},
faupublication = {yes},
keywords = {GRK-1773},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.patien{\_}1},
pages = {414-417},
title = {{Patient}-bounded {Extrapolation} for {3D} {Region} of {Interest} {Reconstruction} in {C}-arm {CT}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Xia14-PEF.pdf},
venue = {Salt Lake City, UT, USA},
year = {2014}
}
@article{faucris.118453324,
abstract = {Purpose: Three-dimensional (3D) volume-of-interest (VOI) imaging with C-arm systems provides anatomical information in a predefined 3D target region at a considerably low x-ray dose. However, VOI imaging involves laterally truncated projections from which conventional reconstruction algorithms generally yield images with severe truncation artifacts. Heuristic based extrapolation methods, e.g., water cylinder extrapolation, typically rely on techniques that complete the truncated data by means of a continuity assumption and thus appear to be ad-hoc. It is our goal to improve the image quality of VOI imaging by exploiting existing patient-specific prior information in the workflow. Methods: A necessary initial step prior to a 3D acquisition is to isocenter the patient with respect to the target to be scanned. To this end, low-dose fluoroscopic x-ray acquisitions are usually applied from anteriorposterior (AP) and medio-lateral (ML) views. Based on this, the patient is isocentered by repositioning the table. In this work, we present a patient-bounded extrapolation method that makes use of these noncollimated fluoroscopic images to improve image quality in 3D VOI reconstruction. The algorithm first extracts the 2D patient contours from the noncollimated AP and ML fluoroscopic images. These 2D contours are then combined to estimate a volumetric model of the patient. Forward-projecting the shape of the model at the eventually acquired C-arm rotation views gives the patient boundary information in the projection domain. In this manner, we are in the position to substantially improve image quality by enforcing the extrapolated line profiles to end at the known patient boundaries, derived from the 3D shape model estimate. Results: The proposed method was evaluated on eight clinical datasets with different degrees of truncation. The proposed algorithm achieved a relative root mean square error (rRMSE) of about 1.0% with respect to the reference reconstruction on nontruncated data, even in the presence of severe truncation, compared to a rRMSE of 8.0% when applying a state-of-the-art heuristic extrapolation technique. Conclusions: The method we proposed in this paper leads to a major improvement in image quality for 3D C-arm based VOI imaging. It involves no additional radiation when using fluoroscopic images that are acquired during the patient isocentering process. The model estimation can be readily integrated into the existing interventional workflow without additional hardware.},
author = {Xia, Yan and Bauer, Sebastian and Maier, Andreas and Berger, Martin and Hornegger, Joachim},
doi = {10.1118/1.4914135},
faupublication = {yes},
journal = {Medical Physics},
keywords = {computed tomography; extrapolation; fluoroscopic image; truncation correction; volume of interest imaging},
note = {UnivIS-Import:2015-07-08:Pub.2015.tech.IMMD.IMMD5.patien},
pages = {1787-1796},
peerreviewed = {Yes},
title = {{Patient}-bounded extrapolation using low-dose priors for volume-of-interest imaging in {C}-arm {CT}},
url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Xia15-PEU.pdf},
volume = {42},
year = {2015}
}
@inproceedings{faucris.108054804,
address = {Moscow, Russia},
author = {Adelt, André and Schaller, Christian and Penne, Jochen and Hornegger, Joachim},
booktitle = {Proceedings of the 4th Russian-Bavarian Conference on Biomedical Engineering},
date = {2008-07-08/2008-07-09},
editor = {Bauernschmitt Robert, Chaplygin Yuri, Feußner Hubertus, Gulyaev Yuri, Hornegger Joachim, Mayr Ernst, Navab Nassir, Schookin Sergey, Umnyashkin Sergei},
faupublication = {yes},
pages = {202-207},
peerreviewed = {unknown},
publisher = {MIET},
title = {{Patient} positioning using 3-{D} surface registration},
venue = {Moscow Institute of Electronic Technology, Zeleonograd},
year = {2008}
}
@book{faucris.121187924,
abstract = {As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image analysis tools have become a crucial component of the clinical workflow. Especially when dealing with complex cardiovascular disorders, such as valvular heart disease, advanced imaging techniques have the potential to significantly improve treatment outcome as well as to reduce procedure risks and related costs. We are developing patient-specific cardiac models, estimated from available multi-modal images, to enable advanced clinical applications for the management of cardiovascular disease. In particular, a novel physiological model of the complete heart, including the chambers and valvular apparatus is introduced, which captures a large spectrum of morphological, dynamic and pathological variations. To estimate the patient-specific model parameters from four-dimensional cardiac images, we have developed a robust learning-based framework. The model-driven approach enables a multitude of advanced clinical applications. Gold standard clinical methods, which manually process 2D images, can be replaced with fast, precise, and comprehensive model-based quantification to enhance cardiac analysis. For emerging percutaneous and minimal invasive valve interventions, cardiac surgeons and interventional cardiologists can substantially benefit from automated patient selection and virtual valve implantation techniques. Furthermore, the complete cardiac model enables for patient-specific hemodynamic simulations and blood flow analysis. Extensive experiments demonstrated the potential of these technologies to improve treatment of cardiovascular disease. © 2010 Springer-Verlag Berlin Heidelberg.},
address = {Heidelberg},
author = {Ionasec, Razvan and Voigt, Ingmar and Mihalef, Viorel and Grbic, Sasa and Vitanovski, Dime and Wang, Yabin and Zheng, Yefeng and Hornegger, Joachim and Navab, Nassir and Georgescu, Bogdan and Comaniciu, Dorin},
doi = {10.1007/978-3-642-15835-3{\_}2},
faupublication = {yes},
isbn = {978-3-642-15834-6},
note = {UnivIS-Import:2015-04-16:Pub.2010.tech.IMMD.IMMD5.patien},
pages = {14-24},
peerreviewed = {Yes},
publisher = {Springer-verlag},
series = {Lecture Notes in Computer Science},
title = {{Patient}-specific modeling of the heart: {Applications} to cardiovascular disease management},
volume = {null},
year = {2010}
}
@book{faucris.120189344,
abstract = {Patient-specific models of the heart physiology have become powerful instruments able to improve the diagnosis and treatment of cardiac disease. A systemic representation of the whole organ is required to capture the complex functional and hemodynamical interdependencies among the anatomical structures. We propose a novel framework for personalized modeling of the left-side heart that integrates comprehensive data of the morphology, function and hemodynamics. Patient-specific fluid dynamics are computed over the entire cardiac cycle using embedded boundary and ghost fluid methods, constrained by the dynamics of highly detailed anatomical models. Personalized boundary conditions are determined by estimating cardiac shape and motion from 4D TEE images through robust discriminative learning methods. Qualitative and quantitative validation of the computed blood dynamics is performed against Doppler echocardiography measurements, following an original methodology. Results showed a high agreement between simulation and ground truth and a correlation of r = 0.85 (p < 0.0002675). To the best of our knowledge, this is the first time that computational fluid dynamics are simulated on a systemic and comprehensive patient-specific model of the heart and validated against routinely acquired clinical ground truth. © 2011 Springer-Verlag Berlin Heidelberg.},
address = {Heidelberg},
author = {Voigt, Ingmar and Mansi, Tommaso and Mihalef, Viorel and Ionasec, Razvan and Calleja, Anna and Assoumou Mengue, Etienne and Sharma, Puneet and Houle, Helene and Georgescu, Bogdan and Hornegger, Joachim and Comaniciu, Dorin},
doi = {10.1007/978-3-642-21028-0{\_}44},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2011.tech.IMMD.IMMD5.patien},
pages = {341-349},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Patient}-{Specific} {Model} of {Left} {Heart} {Anatomy}, {Dynamics} and {Hemodynamics} from {4D} {TEE}: {A} {First} {Validation} {Study}},
volume = {null},
year = {2011}
}
@book{faucris.109915124,
address = {Braunschweig},
author = {Paulus, Dietrich and Hornegger, Joachim},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
publisher = {Vieweg},
title = {{Pattern} {Recognition} and {Image} {Processing} in {C} {CLASS}="cmtt-12">++},
year = {1995}
}
@book{faucris.106533064,
address = {Erlangen},
editor = {Hornegger, Joachim and Höller, Kurt Emmerich and Spiegel, Martin and Niedermeier, Hans-Peter},
faupublication = {yes},
isbn = {978-3-00-031916-7},
note = {UnivIS-Import:2015-05-08:Pub.2010.tech.IMMD.IMMD5.rectif},
publisher = {Kloster Banz},
title = {{Pattern} {Recognition} in {Medical} and {Health} {Engineering} '10},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Hoeller10-ROE.pdf},
year = {2010}
}
@book{faucris.119448824,
address = {Erlangen},
editor = {Hornegger, Joachim and Höller, Kurt Emmerich and Ritt, Philipp and Borsdorf, Anja and Niedermeier, Hans-Peter},
faupublication = {yes},
isbn = {3-921713-34-X},
note = {UnivIS-Import:2015-07-08:Pub.2008.tech.IMMD.IMMD5.patter{\_}7},
publisher = {Union Aktuell},
title = {{Pattern} {Recognition} in {Medical} and {Health} {Engineering}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Hornegger08-PRI.pdf},
volume = {1},
year = {2008}
}
@book{faucris.119645504,
address = {Braunschweig},
author = {Paulus, Dietrich and Hornegger, Joachim},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
publisher = {Vieweg},
title = {{Pattern} {Recognition} of {Images} and {Speech} in {C}++},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1997/Paulus97-PRO.pdf},
year = {1997}
}
@inproceedings{faucris.121110704,
author = {Daum, Volker and Hahn, Dieter and Hornegger, Joachim and Kuwert, Torsten},
booktitle = {Proceedings of the MICCAI Workshop on Probabilistic Models For Medical Image Analysis},
date = {2009-09-20},
editor = {Wells William, Joshi Sarang, Pohl Kilian},
faupublication = {yes},
pages = {127-138},
peerreviewed = {unknown},
title = {{PCA} {Regularized} {Nonrigid} {Registration} for {PET}/{MRI} {Attenuation} {Correction}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Daum09-PRN.pdf},
venue = {London},
year = {2009}
}
@inproceedings{faucris.122934504,
abstract = {Screening and diagnosis of breast cancer with Digital Breast Tomosynthesis (DBT) and Mammography are increasingly supported by algorithms for automatic post-processing. The pectoral muscle, which dorsally delineates the breast tissue towards the chest wall, is an important anatomical structure for navigation. Along with the nipple and the skin, the pectoral muscle boundary is often used for reporting the location of breast lesions. It is visible in mediolateral oblique (MLO) views where it is well approximated by a straight line. Here, we propose two machine learning-based algorithms to robustly detect the pectoral muscle in MLO views from DBT and mammography. Embedded into the Marginal Space Learning framework, the algorithms involve the evaluation of multiple candidate boundaries in a hierarchical manner. To this end, we propose a novel method for candidate generation using a Hough-based approach. Experiments were performed on a set of 100 DBT volumes and 95 mammograms from different clinical cases. Our novel combined approach achieves competitive accuracy and robustness. In particular, for the DBT data, we achieve significantly lower deviation angle error and mean distance error than the standard approach. The proposed algorithms run within a few seconds. © 2014 Springer International Publishing Switzerland.},
author = {Ghesu, Florin-Cristian and Wels, Michael and Jerebko, Anna and Sühling, Michael and Hornegger, Joachim and Kelm, B. Michael},
booktitle = {Medical Computer Vision. Large Data in Medical Imaging},
date = {2013-09-26/2013-09-26},
doi = {10.1007/978-3-319-05530-5{\_}15},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.pector},
pages = {148-157},
publisher = {Springer Verlag},
series = {Lecture Notes on Computer Science},
title = {{Pectoral} {Muscle} {Detection} in {Digital} {Breast} {Tomosynthesis} and {Mammography}},
venue = {Nagoya, Japan},
volume = {8331},
year = {2014}
}
@article{faucris.121136224,
abstract = {Purpose: To evaluate and compare the technical accuracy and feasibility of magnetic resonance (MR) imaging-enhanced fluoroscopic guidance and real-time MR imaging guidance for percutaneous puncture procedures in phantoms and animals. Materials and Methods: The experimental protocol was approved by the institutional animal care and use committee. Punctures were performed in phantoms, aiming for markers (20 each for MR imaging-enhanced fluoroscopic guidance and real-time MR imaging guidance), and pigs, aiming for anatomic landmarks (10 for MR imaging-enhanced fluoroscopic guidance and five for MR imaging guidance). To guide the punctures, T1-weighted three-dimensional (3D) MR images of the phantom or pig were acquired. Additional axial and coronal T2- weighted images were used to visualize the anatomy in the animals. For MR imaging-enhanced fluoroscopic guidance, phantoms and pigs were transferred to the fluoroscopic system after initial MR imaging and C-arm computed tomography (CT) was performed. C-arm CT and MR imaging data sets were coregistered. Prototype navigation software was used to plan a puncture path with use of MR images and to superimpose it on fluoroscopic images. For realtime MR imaging, an interventional MR imaging prototype for interactive real-time section position navigation was used. Punctures were performed within the magnet bore. After completion, 3D MR imaging was performed to evaluate the accuracy of insertions. Puncture durations were compared by using the log-rank test. The Mann-Whitney U test was applied to compare the spatial errors. Results: In phantoms, the mean total error was 8.6 mm ± 2.8 with MR imaging-enhanced fluoroscopic guidance and 4.0 mm ± 1.2 with real-time MR imaging guidance (P < .001). The mean puncture time was 2 minutes 10 seconds ± 44 seconds with MR imaging- enhanced fluoroscopic guidance and 37 seconds ± 14 with real-time MR imaging guidance (P < .001). In the animal study, a tolerable distance (<1 cm) between target and needle tip was observed for both MR imaging-enhanced fluoroscopic guidance and real-time MR imaging guidance. The mean total error was 7.7 mm ± 2.4 with MR imaging-enhanced fluoroscopic guidance and 7.9 mm ± 4.9 with real-time MR imaging guidance (P = .77). The mean puncture time was 5 minutes 43 seconds ± 2 minutes 7 seconds with MR imaging-enhanced fluoroscopic guidance and 5 minutes 14 seconds ± 2 minutes 25 seconds with real-time MR imaging guidance (P = .68). Conclusion: Both MR imaging-enhanced fluoroscopic guidance and real-time MR imaging guidance demonstrated reasonable and similar accuracy in guiding needle placement to selected targets in phantoms and animals. © RSNA, 2012.},
author = {Meyer, Bernhard and Brost, Alexander and Kraitchman, Dara and Gilson, Wesley D. and Strobel, Norbert and Hornegger, Joachim and Lewin, Jonathan and Wacker, Frank},
doi = {10.1148/radiol.12120117},
faupublication = {yes},
journal = {Radiology},
pages = {912-919},
peerreviewed = {Yes},
title = {{Percutaneous} punctures with {MR} imaging guidance: {Comparison} between {MR} imaging-enhanced fluoroscopic guidance and real-time {MR} imaging guidance},
volume = {266},
year = {2013}
}
@inproceedings{faucris.107393264,
abstract = {The grating-based phase-contrast imaging approach is highly dependent on the quality of the used gratings. While the fabrication of gratings for the soft X-ray range is more or less well controllable, the fabrication for the hard X-ray range (>30 keV) is more challenging as the gratings must have high aspect ratios and thus fine structures. One of the best fabrication technologies for such gratings is LIGA (Lithography, Electroplating and Molding). However, due to such small structures and high aspect ratio it is unavoidable that the gratings become non-perfect and have deformations. Since the fabrication is complex, expensive and time consuming, a simple way is needed to assess the influence of such deformations on the signal and also a simple way to design and test new grating layouts. This work presents a simulation framework for X-ray phase-contrast imaging which allows to model, simulate and assess the quality of arbitrary grating layouts in an easier, cheaper and faster way. Furthermore, it allows the assessment of the quality of new grating layouts as well as of existing gratings. © 2010 IEEE.},
author = {Haas, Wilhelm and Bartl, Peter and Bayer, Florian and Durst, Jürgen and Grund, T. and Kenntner, J. and Michel, Thilo and Ritter, André and Weber, Thomas and Anton, Gisela and Hornegger, Joachim},
booktitle = {2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010},
doi = {10.1109/NSSMIC.2010.5874388},
faupublication = {yes},
pages = {3176-3178},
peerreviewed = {unknown},
title = {{Performance} analysis of {X}-{Ray} phase-contrast interferometers with respect to grating layouts},
venue = {Knoxville, TN},
volume = {null},
year = {2010}
}
@inproceedings{faucris.123058584,
abstract = {Coarctation of the aorta (CoA), is an obstruction of the aortic arch present in 5-8% of congenital heart diseases. For children older than a year, CoA is increasingly treated by aortic stenting instead of surgical repair. In pediatric cardiology, CMR is accepted as the standard non-invasive imaging modality to assess the aortic arch in it's entire spatial context [1]. Interpreting such 3D datasets are required to assess the underlying anatomy during both diagnosis and therapy planning phases. However this process is time consuming and varies with operator skills. Within this study we propose for the first time in our knowledge a method of automatic segmentation of the lumen of thoracic aorta and main branches. The personalized model of the aorta and the supra-aortic arteries, automatically estimated from 3D CMR data, will provide better understanding of the complexity of pathology and assist the cardiologist to choose the best treatment and timing of repair. A hierarchical framework based on robust machine-learning algorithms is proposed to estimate the personalized model parameters. Experiments throughout 212 3D CMR volumes demonstrate model estimation error of 3.24 mm and average computation time of 8 sec. combined with clinical evaluation on 32 patients. © 2012 IEEE.},
author = {Vitanovski, Dime and Ralovich, Kristof and Ionasec, Razvan and Zheng, Yefeng and Suehling, Michael and Krawtschuk, Waldemar and Hornegger, Joachim and Comaniciu, Dorin},
booktitle = {Cardiac and Vascular Imaging},
date = {2012-05-02/2012-05-05},
doi = {10.1109/ISBI.2012.6235678},
faupublication = {yes},
isbn = {9781457718588},
note = {UnivIS-Import:2017-03-24:Pub.2012.tech.IMMD.IMMD5.person},
pages = {836-839},
peerreviewed = {unknown},
title = {{Personalized} {Learning}-based {Segmentation} of {Thoracic} {Aorta} and {Main} {Branches} for {Diagnosis} and {Treatment} {Planning}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Vitanovski12-PLS.pdf},
venue = {Barcelona, Spain},
year = {2012}
}
@book{faucris.121197604,
abstract = {The anatomy, function and hemodynamics of the aortic and mitral valves are known to be strongly interconnected. An integrated quantitative and visual assessment of the aortic-mitral coupling may have an impact on patient evaluation, planning and guidance of minimal invasive procedures. In this paper, we propose a novel model-driven method for functional and morphological characterization of the entire aortic-mitral apparatus. A holistic physiological model is hierarchically defined to represent the anatomy and motion of the two left heart valves. Robust learning-based algorithms are applied to estimate the patient-specific spatial-temporal parameters from four-dimensional TEE and CT data. The piecewise affine location of the valves is initially determined over the whole cardiac cycle using an incremental search performed in marginal spaces. Consequently, efficient spectrum detection in the trajectory space is applied to estimate the cyclic motion of the articulated model. Finally, the full personalized surface model of the aortic-mitral coupling is constructed using statistical shape models and local spatial-temporal refinement. Experiments performed on 65 4D TEE and 69 4D CT sequences demonstrated an average accuracy of 1.45mm and speed of 60 seconds for the proposed approach. Initial clinical validation on model-based and expert measurement showed the precision to be in the range of the inter-user variability. To the best of our knowledge this is the first time a complete model of the aortic-mitral coupling estimated from TEE and CT data is proposed. © 2009 Springer-Verlag.},
address = {Heidelberg},
author = {Ionasec, Razvan and Voigt, Ingmar and Georgescu, Bogdan and Wang, Yabin and Houle, Helene and Hornegger, Joachim and Navab, Nassir and Comaniciu, Dorin},
doi = {10.1007/978-3-642-04271-3{\_}93},
faupublication = {yes},
isbn = {978-3-642-04267-6},
note = {UnivIS-Import:2015-04-16:Pub.2009.tech.IMMD.IMMD5.person{\_}6},
pages = {767-775},
peerreviewed = {Yes},
publisher = {Springer-verlag},
series = {Lecture Notes in Computer Science},
title = {{Personalized} {Modeling} and {Assessment} of the {Aortic}-{Mitral} {Coupling} from {4D} {TEE} and {CT}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Ionasec09-PMA.pdf},
volume = {null},
year = {2009}
}
@book{faucris.121197164,
abstract = {Pulmonary valve disease affects a significant portion of the global population and often occurs in conjunction with other heart dysfunctions. Emerging interventional methods enable percutaneous pulmonary valve implantation, which constitute an alternative to open heart surgery. As minimal invasive procedures become common practice, imaging and non-invasive assessment techniques turn into key clinical tools. In this paper, we propose a novel approach for intervention planning as well as morphological and functional quantification of the pulmonary trunk and valve. An abstraction of the anatomic structures is represented through a four-dimensional, physiological model able to capture large pathological variation. A hierarchical estimation, based on robust learning methods, is applied to identify the patient-specific model parameters from volumetric CT scans. The algorithm involves detection of piecewise affine parameters, fast centre-line computation and local surface delineation. The estimated personalized model enables for efficient and precise quantification of function and morphology. This ability may have impact on the assessment and surgical interventions of the pulmonary valve and trunk. Experiments performed on 50 cardiac computer tomography sequences demonstrated the average speed of 202 seconds and accuracy of 2.2mm for the proposed approach. An initial clinical validation yielded a significant correlation between model-based and expert measurements. To the best of our knowledge this is the first dynamic model of the pulmonary trunk and right ventricle outflow track estimated from CT data. © 2009 Springer-Verlag.},
author = {Vitanovski, Dime and Ionasec, Razvan and Georgescu, Bogdan and Huber, Martin and Taylor, Andrew and Hornegger, Joachim and Comaniciu, Dorin},
doi = {10.1007/978-3-642-04268-3{\_}3},
faupublication = {yes},
pages = {17-25},
peerreviewed = {Yes},
publisher = {Springer-verlag},
title = {{Personalized} pulmonary trunk modeling for intervention planning and valve assessment estimated from {CT} data},
volume = {null},
year = {2009}
}
@inproceedings{faucris.118274464,
abstract = {Pulmonary valve disease affects a significant portion of the global population and often occurs in conjunction with other heart dysfunctions. Emerging interventional methods enable percutaneous pulmonary valve implantation, which constitute an alternative to open heart surgery. As minimal invasive procedures become common practice, imaging and non-invasive assessment techniques turn into key clinical tools. In this paper, we propose a novel approach for intervention planning as well as morphological and functional quantification of the pulmonary trunk and valve. An abstraction of the anatomic structures is represented through a four-dimensional, physiological model able to capture large pathological variation. A hierarchical estimation, based on robust learning methods, is applied to identify the patient-specific model parameters from volumetric CT scans. The algorithm involves detection of piecewise affine parameters, fast centre-line computation and local surface delineation. The estimated personalized model enables for efficient and precise quantification of function and morphology. This ability may have impact on the assessment and surgical interventions of the pulmonary valve and trunk. Experiments performed on 50 cardiac computer tomography sequences demonstrated the average speed of 202 seconds and accuracy of 2.2mm for the proposed approach. An initial clinical validation yielded a significant correlation between model-based and expert measurements. To the best of our knowledge this is the first dynamic model of the pulmonary trunk and right ventricle outflow track estimated from CT data.},
address = {Heidelberg},
author = {Vitanovski, Dime and Ionasec, Razvan Ioan and Georgescu, Bogdan and Huber, Martin and Taylor, Andrew Mayall and Hornegger, Joachim and Comaniciu, Dorin},
booktitle = {Proceedings of 12th Internation Conference on Medical Image Computing and Computer-Assisted Intervention},
faupublication = {yes},
isbn = {978-3-642-04267-6},
note = {UnivIS-Import:2015-04-16:Pub.2009.tech.IMMD.IMMD5.person{\_}33},
pages = {17-25},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Personalized} pulmonary trunk modeling for intervention planning and valve assessment estimated from {CT} data},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Vitanovski09-PPT.pdf},
venue = {London (UK)},
year = {2009}
}
@inproceedings{faucris.121176264,
abstract = {Phase-contrast imaging approaches suffer from a severe problem which is known in Magnetic Resonance Imaging (MRI) and Synthetic Aperture Radar (SAR) as phase-wrapping. This work focuses on an unwrapping solution for the grating based phase-contrast interferometer with X-rays. The approach delivers three types of information about the x-rayed object - the absorption, differential phase-contrast and dark-field information whereas the observed differential phase values are physically limited to the interval (-π, π]; values higher or lower than the interval borders are mapped (wrapped) back into it. In contrast to existing phase-unwrapping algorithms for MRI and SAR the presented algorithm uses the absorption image as additional information to identify and correct phase-wrapped values. The idea of the unwrapping algorithm is based on the observation that at locations with phase-wrapped values the contrast in the absorption image is high and the behavior of the gradient is similar to the real (unwrapped) phase values. This can be expressed as a cost function which has to be minimized by an integer optimizer. Applied on simulated and real datasets showed that 95.6% of phase-wraps were correctly unwrapped. Based on the results we conclude that it is possible to use the absorption information in order to identify and correct phase-wrapped values. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).},
author = {Haas, Wilhelm and Bech, Martin and Bartl, Peter and Bayer, Florian and Ritter, André and Weber, T. and Pelzer, Georg and Willner, M. and Achterhold, K. and Durst, Jürgen and Michel, Thilo and Prümmer, Marcus and Pfeiffer, F. and Anton, Gisela and Hornegger, Joachim},
booktitle = {Medical Imaging 2011: Image Processing},
doi = {10.1117/12.877945},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Phase}-unwrapping of differential phase-contrast data using attenuation information},
venue = {Lake Buena Vista, FL},
volume = {7962},
year = {2011}
}
@inproceedings{faucris.121335544,
address = {Berlin / Heidelberg},
author = {Bauer, Sebastian and Wasza, Jakob and Hornegger, Joachim},
booktitle = {Bildverarbeitung für die Medizin 2012},
date = {2012-03-19},
doi = {10.1007/978-3-642-28502-8{\_}20},
editor = {Tolxdorff Thomas, Deserno Thomas Martin, Handels Heinz, Meinzer Hans-Peter},
faupublication = {yes},
pages = {105-110},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Photometric} {Estimation} of 3-{D} {Surface} {Motion} {Fields} for {Respiration} {Management}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Bauer12-PEO.pdf},
venue = {Berlin},
year = {2012}
}
@inproceedings{faucris.107864064,
address = {Erlangen},
author = {Penne, Jochen and Höller, Kurt Emmerich and Wilhelm, Dirk and Feußner, Hubertus and Hornegger, Joachim},
booktitle = {3rd Russian-Bavarian Conference on Biomedical Engineering},
date = {2007-07-02/2007-07-03},
editor = {Hornegger Joachim, Mayr Ernst W., Schookin Sergey, Feußner Hubertus, Navab Nassir, Gulyaev Yuri V., Höller Kurt, Ganzha Victor},
faupublication = {yes},
pages = {233-240},
peerreviewed = {unknown},
publisher = {Union aktuell},
title = {{Photorealistic} 3-{D} {Surface} {Reconstructions} {Using} {TOF} {Cameras}},
url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Penne07-P3S.pdf},
venue = {Erlangen},
year = {2007}
}
@article{faucris.113893384,
author = {Lu, Chen D. and Choi, Woo Jhon and Wang, Zhao and Kraus, Martin and Hornegger, Joachim and Duker, Jay S. and Fujimoto, James G.},
faupublication = {yes},
journal = {Investigative Ophthalmology & Visual Science},
peerreviewed = {Yes},
title = {{Photoreceptor} {Lengthening} {During} {Dark} {Adaptation} {Detected} {With} {Ultra}-{High} {Resolution} {Optical} {Coherence} {Tomography}},
volume = {56},
year = {2015}
}
@article{faucris.120189124,
abstract = {We developed a piezoelectric-transducer- (PZT) based miniature catheter with an outer diameter of 3.5 mm for ultrahigh-speed endoscopic optical coherence tomography (OCT). A miniaturized PZT bender actuates a fiber and the beam is scanned through a GRIN lens and micro-prism to provide high-speed, side-viewing capability. The probe optics can be pulled back over a long distance to acquire three-dimensional (3D) data sets covering a large area. Imaging is performed with 11 μm axial resolution in air (8 μm in tissue) and 20 μm transverse resolution, at 960 frames per second with a Fourier domain mode-locked laser operating at 480 kHz axial scan rate. Using a high-speed data acquisition system, endoscopic OCT imaging of the rabbit esophagus and colon in vivo and human colon specimens ex vivo is demonstrated. © 2011 Optical Society of America.},
author = {Tsai, Tsung Han and Potsaid, Benjamin and Kraus, Martin and Zhou, Chao and Tao, Yuankai K. and Hornegger, Joachim and Fujimoto, James G.},
doi = {10.1364/BOE.2.002438},
faupublication = {yes},
journal = {Biomedical Optics Express},
pages = {2438-2448},
peerreviewed = {Yes},
title = {{Piezoelectric}-transducer-based miniature catheter for ultrahigh-speed endoscopic optical coherence tomography},
volume = {2},
year = {2011}
}
@inproceedings{faucris.121181544,
abstract = {We developed a piezoelectric transducer (PZT) based miniature catheter with an outer diameter of 3 mm for ultrahigh speed endoscopic optical coherence tomography (OCT) using Fourier domain modelocked (FDML) laser at a 480 kHz axial scan rate. The miniaturized PZT bender actuates a fiber to provide high scanning speed. The side-viewing probe can be pulled back for a long distance to acquire three-dimensional (3D) dataset covering a large area on the specimen. Operating with a high speed data acquisition (DAQ) system, OCT imaging with 6.5 mm imaging range, 10 μm axial resolution, 20 μm lateral resolution, and frame rate of 480 frames per second (fps) is demonstrated. © 2011 Copyright SPIE - The International Society for Optical Engineering.},
author = {Tsai, Tsung-Han and Potsaid, Benjamin M. and Kraus, Martin and Liu, Jonathan J. and Zhou, Chao and Hornegger, Joachim and Fujimoto, James G.},
booktitle = {Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV},
doi = {10.1117/12.875815},
faupublication = {yes},
pages = {-},
peerreviewed = {unknown},
title = {{Piezoelectric} transducer based miniature catheter for ultrahigh speed endoscopic optical coherence tomography},
venue = {San Francisco, CA},
volume = {7889},
year = {2011}
}
@inproceedings{faucris.108006844,
address = {Berlin / Heidelberg},
author = {Bourier, Felix and Vukajlovic, Dejan and Brost, Alexander and Hornegger, Joachim and Strobel, Norbert and Kurzidim, Klaus},
booktitle = {78. Jahrestagung der Deutschen Gesellschaft für Kardiologie},
date = {2012-04-11/2012-04-14},
editor = {Deutsche Gesellschaft für Kardiologie},
faupublication = {yes},
pages = {655.0},
peerreviewed = {unknown},
publisher = {Springer},
title = {{Planungstool} für die {Cryo} {Ballon} {Technik} zur {Pulmonalvenenisolation}},
venue = {Mannheim},
year = {2012}
}
@inproceedings{faucris.203704818,
abstract = {
In C-arm computed tomography there are certain constraints due to the data acquisition process which can cause limited raw data. The reconstructed image’s quality may significantly decrease depending on these constraints. To compensate for severely under-sampled projection data during reconstruction, special algorithms have to be utilized, more robust to such ill-posed problems.
In the past few years it has been shown that reconstruction algorithms based on the theory of compressed sensing are able to handle incomplete data sets quite well. In this paper, the iterative iTV reconstruction method by Ludwig Ritschl et al. is analyzed regarding it’s elimination capabilities of image artifacts caused by incomplete raw data with respect to the settings of it’s various parameters.
The evaluation of iTV and the data dependency of iterative reconstruction’s parameters is conducted in two stages. First, projection data with severe angular under-sampling is acquired using an analytical phantom. Proper reconstruction parameters are selected by analyzing the reconstruction results from a set of proposed parameters. In a second step multiple phantom data sets are acquired with limited angle geometry and a small number of projections.
The iTV reconstructions of these data sets are compared to short-scan FDK and SART reconstruction results, highlighting the distinct data dependence of the iTV reconstruction parameters.
Methods : We propose an OCT specific module, “SlicerOCT,” which leverages 3D Slicer’s existing capabilities for orthoplane viewing and volume rendering. OCT and OCTA data are stored in different layers, which allows simultaneous display; layers can be toggled on and off. OCT specific functions, such as volume projection and OCTA thresholding, are available. Orthoplane views can be scrolled through in a manner analogous to a conventional radiology viewer and data can be rendered volumetrically.
Results : Figure 1 shows a SlicerOCT display of OCT and OCTA data from a patient with exudative age-related macular degeneration (AMD). The choroidal neovascularization (CNV) is clearly visible in the OCT angiograms and corresponding structural en face displays (right panels), while CNV location under the retinal pigment epithelium (RPE) and intraretinal cysts are visible in the OCT B-scan display (bottom left). Figure 2 shows a SlicerOCT display of OCT and OCTA data from a patient with geographic atrophy (GA). Areas of RPE alteration are visible on OCTA, while areas of choriocapillaris loss are seen on OCTA. Unlike traditional en face visualization of OCTA data, orthoplane viewing enables interpretation of individual OCTA B-scans, which can help identify artifacts, such as incorrect segmentation, signal attenuation, and decorrelation tails.
Conclusions : SlicerOCT enables simultaneous, orthoplane visualization of OCT and OCTA datasets, which promises to enable more accurate interpretation of OCTA data and is especially crucial for studying diseases whose progression alters both structure and blood flo}, address = {ARVO}, author = {Husvogt, Lennart and Moult, Eric M. and Lee, Byungkun and Waheed, Nadia K. and Hornegger, Joachim and Spaide, Richard F. and Maier, Andreas and Fujimoto, James G.}, booktitle = {Investigative Ophthalmology & Visual Science}, date = {2016-05-01/2016-05-05}, edition = {12}, faupublication = {yes}, keywords = {oct;octa; oct angiography;3d slicer}, note = {UnivIS-Import:2018-09-06:Pub.2016.tech.IMMD.IMMD5.slicer}, pages = {5974}, peerreviewed = {unknown}, publisher = {ARVO}, title = {{SlicerOCT}: {A} 3-{D} visualization platform for orthoplane viewing of {OCT}({A}) datasets}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Husvogt16-SA3.pdf}, venue = {Seattle, WA, USA}, volume = {57}, year = {2016} } @article{faucris.121209924, abstract = {In this paper we give a broad overview of modalities used in modern medical imaging and image processing. The whole image processing pipeline including image acquisition, image pre- and post-processing, reconstruction and multi-modal image registration is introduced. We roughly describe the user requirements of medical image processing algorithms and their implication to the system architecture and the software-engineering process as it is established in medical engineering. © 2008 Springer-Verlag.}, author = {Hornegger, Joachim and Reiß, Joachim and Kuwert, Torsten}, faupublication = {yes}, journal = {Computer Science - Research and Development}, pages = {161-171}, peerreviewed = {unknown}, title = {{Software} development in medicine technology using medical image processing as an example}, url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-58049178852&origin=inward}, volume = {22}, year = {2008} } @incollection{faucris.108096384, address = {San Diego}, author = {Paulus, Dietrich and Hornegger, Joachim and Niemann, Heinrich}, booktitle = {unbekannt}, faupublication = {yes}, pages = {77-103}, peerreviewed = {unknown}, publisher = {Academic Press}, title = {{Software} {Engineering} for {Image} {Processing} and {Analysis}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1999/Paulus99-SEF.pdf}, volume = {3.0}, year = {1999} } @article{faucris.121467104, author = {Hornegger, Joachim and Reiß, Joachim and Kuwert, Torsten}, doi = {10.1007/s00450-008-0041-9}, faupublication = {yes}, journal = {Informatik - Forschung und Entwicklung}, pages = {161 - 171}, peerreviewed = {unknown}, title = {{Softwareentwicklung} in der {Medizintechnik} am {Beispiel} der medizinischen {Bildverarbeitung}}, url = {http://www.springerlink.com/content/71g43kr6jp458814/#ContactOfAuthor1}, year = {2008} } @inproceedings{faucris.107856584, author = {Bauer, Sebastian and Ettl, Svenja and Wasza, Jakob and Willomitzer, Florian and Huber, Franz and Hornegger, Joachim and Häusler, Gerd}, booktitle = {DGaO Proceedings 2012}, date = {2012-05-29}, editor = {Häusler Gerd, Faber Christian}, faupublication = {yes}, pages = {P22}, peerreviewed = {unknown}, title = {{Sparse} {Active} {Triangulation} {Grids} for {Respiratory} {Motion} {Management}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Bauer12-SAT.pdf}, venue = {Eindhoven NL}, year = {2012} } @inproceedings{faucris.203366877, author = {Wang, Jian and Riess, Christian and Borsdorf, Anja and Heigl, Benno and Hornegger, Joachim}, booktitle = {Proceedings of the 15th International Conference on Computer Analysis of Images and Patterns - Part I}, date = {2013-08-27/2013-08-29}, doi = {10.1007/978-3-642-40261-6{\_}10}, faupublication = {yes}, pages = {86--93}, peerreviewed = {Yes}, title = {{Sparse} {Depth} {Sampling} for {Interventional} 2-{D}/3-{D} {Overlay}: {Theoretical} {Error} {Analysis} and {Enhanced} {Motion} {Estimation}}, venue = {York}, year = {2013} } @inproceedings{faucris.107891564, address = {York, UK}, author = {Wang, Jian and Riess, Christian and Borsdorf, Anja and Heigl, Benno and Hornegger, Joachim}, booktitle = {Computer Analysis of Images and Patterns}, date = {2013-08-27/2013-08-29}, editor = {Wilson Richard, Hancock Edwin, Bors Adrian, Smith William}, faupublication = {yes}, pages = {86-93}, publisher = {Springer Berlin Heidelberg}, title = {{Sparse} {Depth} {Sampling} for {Interventional} 2-{D}/3-{D} {Overlay}: {Theoretical} {Error} {Analysis} and {Enhanced} {Motion} {Estimation}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Wang13-SDS.pdf}, venue = {York, UK}, year = {2013} } @inproceedings{faucris.121415404, address = {Heidelberg}, author = {Wasza, Jakob and Bauer, Sebastian and Haase, Sven and Hornegger, Joachim}, booktitle = {Bildverarbeitung für die Medizin 2012}, date = {2012-03-20}, doi = {10.1007/978-3-642-28502-8}, editor = {Deserno Thomas M., Handels Heinz, Meinzer Hans-Peter, Tolxdorff Thomas}, faupublication = {yes}, pages = {316-321}, peerreviewed = {unknown}, publisher = {Springer}, title = {{Sparse} {Principal} {Axes} {Statistical} {Surface} {Deformation} {Models} for {Respiration} {Analysis} and {Classication}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Wasza12-SPA.pdf}, venue = {Berlin}, year = {2012} } @inproceedings{faucris.121307604, author = {Wu, Haibo and Hornegger, Joachim}, booktitle = {Bildverarbeitung für die Medizin 2012}, date = {2012-03-03/2012-03-05}, doi = {10.1007/978-3-642-28502-8{\_}26}, editor = {Springer Berlin Heidelberg}, faupublication = {yes}, pages = {141-146}, peerreviewed = {Yes}, title = {{Sparsity} {Level} {Constrained} {Compressed} {Sensing} for {CT} {Reconstruction}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Wu12-SLC.pdf}, venue = {Berlin}, year = {2012} } @article{faucris.107395024, abstract = {"Natural Orifice Translumenal Endoscopic Surgery" (NOTES) is assumed to offer significant benefits to patients, such as reduced trauma as well as reduced collateral damage. But the potential advantages of this new technology can only be achieved through safe and standardized operation methods. Several barriers, which have been identified during clinical practice in flexible intra-abdominal endoscopy, can only be solved with computer-assisted surgical (CAS) systems. In order to assist the surgeon during the intervention and enhance his visual possibilities, some of these CAS systems require 3-D information of the intervention site, for others 3-D information is even mandatory. Therefore it is evident that the definition and design of new technologies for CAS systems must be strongly considered. A 3-D endoscope, called "Multisensor-Time-of-Flight" (MUSTOF) endoscope, is actually being developed. Within these developments, an optical 3-D time-of-flight (TOF) sensor is attached to the proximal end of a common endoscope. The 3-D depth information obtained by this enhanced endoscope can furthermore be registered with preoperatively acquired 3-D volumetric datasets such as CT or MRI. These enhanced or augmented 3-D data volumes could then be used to find the transgastric or transcolonic entry point to the abdomen. Furthermore, such acquired endoscopic depth data can be used to provide better orientation within the abdomen. Moreover it can also prevent intra-operative collisions and provide an optimized field of view with the possibility for off-axis viewing. Furthermore, providing a stable horizon on video-endoscopic images, especially within non-rigid endoscopic surgery scenarios (particularly within NOTES), remains an open issue. Hence, our recently presented "endorientation" approach for automated image orientation rectification could turn out as an important contribution. It works with a tiny micro-electro-mechanical systems (MEMS) tri-axial inertial sensor that is placed on the distal tip of an endoscope. By measuring the impact of gravity on each of the three orthogonal axes the rotation angle can be estimated with some calculations out of these three acceleration values, which can be used to automatically rectify the endoscopic images using image processing methods. Using such enhanced, progressive endoscopic system extensions proposed in this article, translumenal surgery could in the future be performed in a safer and more feasible manner. © 2010 Informa Healthcare.}, author = {Höller, Kurt Emmerich and Schneider, Armin and Jahn, Jasper and Gutierrez, Javier and Wittenberg, Thomas and Feussner, Hubertus and Hornegger, Joachim}, doi = {10.3109/13645706.2010.510762}, faupublication = {yes}, journal = {Minimally Invasive Therapy & Allied Technologies}, pages = {262-273}, peerreviewed = {Yes}, title = {{Spatial} orientation in translumenal surgery}, volume = {19}, year = {2010} } @inproceedings{faucris.121160424, abstract = {Four dimensional computed tomography (4D-CT) is very important for treatment planning in thorax or abdomen area, e.g. for guiding radiation therapy planning. The respiratory motion makes the reconstruction problem illposed. Recently, compressed sensing theory was introduced. It uses sparsity as a prior to solve the problem and improves image quality considerably. However, the images at each phase are reconstructed individually. The correlations between neighboring phases are not considered in the reconstruction process. In this paper, we propose the spatial-temporal total variation regularization (STTVR) method which not only employs the sparsity in the spatial domain but also in the temporal domain. The algorithm is validated with XCAT thorax phantom. The Euclidean norm of the reconstructed image and ground truth is calculated for evaluation. The results indicate that our method improves the reconstruction quality by more than 50% compared to standard ART. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).}, author = {Wu, Haibo and Maier, Andreas and Fahrig, Rebecca and Hornegger, Joachim}, booktitle = {Medical Imaging 2012: Physics of Medical Imaging}, doi = {10.1117/12.911162}, faupublication = {yes}, pages = {-}, peerreviewed = {Yes}, title = {{Spatial}-temporal total variation regularization ({STTVR}) for {4D}-{CT} reconstruction}, venue = {San Diego, CA}, volume = {8313}, year = {2012} } @inproceedings{faucris.122604724, author = {Yang, Qiao and Wu, Meng and Maass, Nicole and Maier, Andreas and Hornegger, Joachim and Fahrig, Rebecca}, booktitle = {Proceedings of the third international conference on image formation in x-ray computed tomography}, faupublication = {yes}, note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.spectr{\_}5}, pages = {87-90}, title = {{Spectrum} {Binning} {Approach} for {Multi}-{Material} {Beam} {Hardening} {Correction} ({MMBHC}) in {CT}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Yang14-SBA.pdf}, venue = {Salt Lake City, UT, USA}, year = {2014} } @inproceedings{faucris.108039184, address = {Muenchen}, author = {Botinhao, Cassia and Nöth, Elmar and Hornegger, Joachim and Maier, Andreas}, booktitle = {Proceedings of the 5th Russian-Bavarian Conference on Biomedical Engineering}, date = {2009-07-01/2009-07-04}, editor = {Russian Bavarian Conference on Bio-Medical Engineering}, faupublication = {yes}, pages = {151-153}, peerreviewed = {Yes}, publisher = {TU Muenchen}, title = {{Speech} {Classification} for {Sigmatism} in {Children}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Botinhao09-SCF.pdf}, venue = {Munich}, year = {2009} } @article{faucris.120186924, abstract = {Amplitude decorrelation measurement is sensitive to transverse flow and immune to phase noise in comparison to Doppler and other phase-based approaches. However, the high axial resolution of OCT makes it very sensitive to the pulsatile bulk motion noise in the axial direction. To overcome this limitation, we developed split-spectrum amplitude-decorrelation angiography (SSADA) to improve the signal-to-noise ratio (SNR) of flow detection. The full OCT spectrum was split into several narrower bands. Inter-B-scan decorrelation was computed using the spectral bands separately and then averaged. The SSADA algorithm was tested on in vivo images of the human macula and optic nerve head. It significantly improved both SNR for flow detection and connectivity of microvascular network when compared to other amplitude-decorrelation algorithms. © 2012 Optical Society of America.}, author = {Jia, Yali and Tan, Ou and Tokayer, Jason and Potsaid, Benjamin and Wang, Yimin and Liu, Jonathan J. and Kraus, Martin and Subhash, Hrebesh and Fujimoto, James G. and Hornegger, Joachim and Huang, David}, doi = {10.1364/OE.20.004710}, faupublication = {yes}, journal = {Optics Express}, pages = {4710-4725}, peerreviewed = {Yes}, title = {{Split}-spectrum amplitude-decorrelation angiography with optical coherence tomography}, volume = {20}, year = {2012} } @incollection{faucris.120393504, address = {München}, author = {Görz, Günther and Hornegger, Joachim}, booktitle = {Taschenbuch der Medieninformatik}, faupublication = {yes}, pages = {194-219}, peerreviewed = {unknown}, publisher = {Carl Hanser}, title = {{Sprach}- und {Bilderkennung}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2005/Goerz05-SUB.pdf}, year = {2005} } @inproceedings{faucris.120202104, abstract = {The intensity-images captured by Time-of-Flight (ToF)-cameras are biased in several ways. The values differ significantly, depending on the integration time set within the camera and on the distance of the scene. Whereas the integration lime leads to an almost linear scaling of the whole image, the attenuation due to the distance is nonlinear, resulting in higher intensities for objects closer to the camera. The background regions that are farther away contain comparably low values, leading to a bad contrast within the image. Another effect is that some kind of specularity may be observed due to uncommon reflecting conditions at some points within the scene. These three effects lead to intensity images which exhibit significantly different values depending on the integration time of the camera and the distance to the scene, thus making parameterization of processing steps like edge-detection, segmentation, registration and threshold computation a tedious task. Additionally, outliers with exceptionally high values lead to insufficient visualization results and problems in processing. In this work we propose scaling techniques which generate images whose intensities are independent of the integration time of the camera and the measured distance. Furthermore, a simple approach for reducing specularity effects is introduced. © 2008 IEEE.}, author = {Stürmer, Michael and Penne, Jochen and Hornegger, Joachim}, booktitle = {2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops}, doi = {10.1109/CVPRW.2008.4563166}, faupublication = {yes}, peerreviewed = {unknown}, title = {{Standardization} of intensity-values acquired by {Time}-of-{Flight}-cameras}, venue = {Anchorage, AK}, volume = {null}, year = {2008} } @inproceedings{faucris.113130204, abstract = {This paper introduces a unified Bayesian approach to 3–D computer vision using segmented image features. The theoretical part summarizes the basic requirements of statistical object recognition systems. Non–standard types of models are introduced using parametric probability density functions, which allow the implementation of Bayesian classifiers for object recognition purposes. The importance of model densities is demonstrated by concrete examples. Normally distributed features are used for automatic learning, localization, and classification. The contribution concludes with the experimental evaluation of the presented theoretical approach. }, address = {Heidelberg}, author = {Hornegger, Joachim and Paulus, Dietrich and Niemann, Heinrich}, booktitle = {Data Highways and Information Flooding, a Challenge for Classification and Data Analysis}, date = {1997-03-12/1997-03-14}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, publisher = {Springer}, title = {{Statistical} classifiers in computer vision}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1997/Hornegger97-SCI.pdf}, venue = {Potsdam}, year = {1997} } @incollection{faucris.113137904, address = {Berlin}, author = {Hornegger, Joachim and Paulus, Dietrich and Niemann, Heinrich}, booktitle = {Classification, Data Analysis, and Data Highways}, doi = {10.1007/978-3-642-72087-1{\_}33}, faupublication = {yes}, pages = {295-303}, peerreviewed = {unknown}, publisher = {Springer}, title = {{Statistical} classifiers in computer vision}, year = {1998} } @inproceedings{faucris.121226864, abstract = {This work describes a statistical approach to deal with learning and recognition problems in the field of computer vision. An abstract theoretical framework is provided, which is suitable for automatic model generation from examples, identification, and localization of objects. Both, the learning and localization stage are formalized as parameter estimation tasks. The statistical learning phase is unsupervised with respect to the matching of model and scene features. The general mathematical description yields algorithms which can even treat parameter estimation problems from projected data. The experiments show that this probabilistic approach is suitable for solving 2D and 3D object recognition problems using grey-level images. The method can also be applied to 3D image processing issues using range images, i.e. 3D input data.}, address = {Piscataway, NJ, United States}, author = {Hornegger, Joachim and Niemann, Heinrich}, booktitle = {Proceedings of the 5th International Conference on Computer Vision}, doi = {10.1109/ICCV.1995.466838}, editor = {Anon}, faupublication = {yes}, pages = {914-919}, peerreviewed = {unknown}, publisher = {IEEE}, title = {{Statistical} learning, localization, and identification of objects}, venue = {Cambridge, MA, USA}, volume = {null}, year = {1995} } @inproceedings{faucris.108244224, address = {-}, author = {Hornegger, Joachim}, booktitle = {Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}, date = {1997-04-21/1997-04-24}, editor = {ICASSP}, faupublication = {yes}, pages = {3173-3176}, publisher = {IEEE Computer Society Press}, title = {{Statistical} {Modeling} of {Relations} for 3-{D} {Object} {Recognition}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1997/Hornegger97-SMO.pdf}, venue = {Munich}, year = {1997} } @book{faucris.111632444, address = {Aachen}, author = {Hornegger, Joachim}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, publisher = {Shaker}, title = {{Statistische} {Modellierung}, {Klassifikation} und {Lokalisation} von {Objekten}}, year = {1996} } @incollection{faucris.106270164, address = {Leipzig}, author = {Hornegger, Joachim}, booktitle = {Die besten Informatik-Dissertationen 1996}, faupublication = {yes}, note = {UnivIS-Import:2015-04-20:Pub.1997.tech.IMMD.IMMD5.statis{\_}6}, pages = {128-149}, peerreviewed = {No}, publisher = {Teubner}, title = {{Statistische} {Modellierung}, {Klassifikation} und {Lokalisation} von {Objekten}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/1997/Hornegger97-SMK.pdf}, year = {1997} } @inproceedings{faucris.120917544, address = {Berlin Heidelberg}, author = {Hoffmann, Matthias and Bourier, Felix and Strobel, Norbert and Hornegger, Joachim}, booktitle = {Bildverarbeitung für die Medizin 2013}, date = {2013-03-03}, doi = {10.1007/978-3-642-36480-8{\_}43}, editor = {Meinzer Hans-Peter, Deserno Thomas Martin, Handels Heinz, Tolxdorff Thomas}, faupublication = {yes}, pages = {241-246}, publisher = {Springer}, title = {{Structure}-{Enhancing} {Visualization} for {Manual} {Registration} in {Fluoroscopy}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Hoffmann13-SVF.pdf}, venue = {Heidelberg}, year = {2013} } @article{faucris.109983324, abstract = {Fresnel zone plate based soft x-ray transmission microspectroscopy has developed into a routine technique for high-resolution elemental or chemical 2D imaging of thin film specimens. The availability of high resolution Fresnel lenses with short depth of focus offers the possibility of optical slicing (in the third dimension) by focus series with resolutions in the submicron regime. We introduce a 3D reconstruction algorithm that uses a variance-based metric to assign a focus measure as basis for volume rendering. The algorithm is applied to simulated geometries and opaque soft matter specimens thus enabling 3D visualization. These studies with z-resolution of few 100. nm serve as important step towards the vision of a confocal transmission x-ray microscope. © 2014 Elsevier B.}, author = {Späth, Andreas and Schöll, Simon and Riess, Christian and Schmidtel, Daniel and Paradossi, Gaio and Raabe, Jörg and Hornegger, Joachim and Fink, Rainer}, doi = {10.1016/j.ultramic.2014.04.004}, faupublication = {yes}, journal = {Ultramicroscopy}, pages = {19-25}, peerreviewed = {Yes}, title = {{STXM} goes {3D}: {Digital} reconstruction of focal stacks as novel approach towards confocal soft x-ray microscopy}, volume = {144}, year = {2014} } @inproceedings{faucris.118879464, abstract = {The acquisition of high-resolution retinal fundus images with a large field of view (FOV) is challenging due to technological, physiological and economic reasons. This paper proposes a fully automatic framework to reconstruct retinal images of high spatial resolution and increased FOV from multiple low-resolution images captured with non-mydriatic, mobile and video-capable but low-cost cameras. Within the scope of one examination, we scan different regions on the retina by exploiting eye motion conducted by a patient guidance. Appropriate views for our mosaicing method are selected based on optic disk tracking to trace eye movements. For each view, one super-resolved image is reconstructed by fusion of multiple video frames. Finally, all super-resolved views are registered to a common reference using a novel polynomial registration scheme and combined by means of image mosaicing. We evaluated our framework for a mobile and low-cost video fundus camera. In our experiments, we reconstructed retinal images of up to 30° FOV from 10 complementary views of 15° FOV. An evaluation of the mosaics by human experts as well as a quantitative comparison to conventional color fundus images encourage the clinical usability of our framework.}, author = {Köhler, Thomas and Heinrich, Axel and Maier, Andreas and Hornegger, Joachim and Tornow, Ralf-Peter}, booktitle = {2016 IEEE 13th International Symposium on Biomedical Imaging}, date = {2016-04-13/2016-04-16}, doi = {10.1109/ISBI.2016.7493449}, faupublication = {yes}, isbn = {9781479923502}, keywords = {eye tracking; fundus video imaging; mosaicing; Retinal imaging; super-resolution}, note = {UnivIS-Import:2017-11-07:Pub.2016.tech.IMMD.IMMD5.superr{\_}1}, pages = {1063-1067}, peerreviewed = {unknown}, publisher = {IEEE Computer Society}, title = {{Super}-{Resolved} {Retinal} {Image} {Mosaicing}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Kohler16-SRI.pdf}, venue = {Prague, Czech Republic}, volume = {2016-June}, year = {2016} } @inproceedings{faucris.120328824, address = {München}, author = {Höller, Kurt Emmerich and Penne, Jochen and Schneider, Armin and Jahn, Jasper and Girgis, Hani and Guttierrez, Javier and Wittenberg, Thomas and Feußner, Hubertus and Hornegger, Joachim}, booktitle = {Proceedings of the 5th Russian-Bavarian Conference on Biomedical Engineering}, date = {2009-07-01/2009-07-04}, editor = {Feussner Hubertus, et al.}, faupublication = {yes}, pages = {43-47}, peerreviewed = {unknown}, publisher = {TUM}, title = {{Suppression} of shock based errors with gravity related endoscopic image rectification}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Hoeller09-SOS.pdf}, venue = {München}, year = {2009} } @inproceedings{faucris.108071304, address = {Berlin}, author = {Müller, Kerstin and Schaller, Christian and Penne, Jochen and Hornegger, Joachim}, booktitle = {Bildverarbeitung für die Medizin 2009}, date = {2009-03-22/2009-03-25}, editor = {Meinzer Hans-Peter, Deserno Thomas Martin, Handels Heinz, Tolxdorff Thomas}, faupublication = {yes}, pages = {257-261}, peerreviewed = {unknown}, publisher = {Springer}, title = {{Surface}-based {Respiratory} {Motion} {Classification} and {Verification}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Mueller09-SBR.pdf}, venue = {Heidelberg}, year = {2009} } @article{faucris.119545184, author = {Hornegger, Joachim and Paulus, Dietrich}, faupublication = {yes}, journal = {Pattern Recognition and Image Analysis}, pages = {328-332}, peerreviewed = {unknown}, title = {{Surface} segmentation and classification of 3d shapes using dynamic programming}, volume = {3.0}, year = {1993} } @inproceedings{faucris.119316164, address = {Berlin}, author = {Fischer, Peter and Pohl, Thomas and Maier, Andreas and Hornegger, Joachim}, booktitle = {Medical Image Computing and Computer-Assisted Intervention MICCAI 2015}, doi = {10.1007/978-3-319-24553-9{\_}35}, faupublication = {yes}, isbn = {978-3-319-24552-2}, note = {UnivIS-Import:2015-10-26:Pub.2015.tech.IMMD.IMMD5.surrog}, pages = {282-289}, publisher = {Springer}, series = {LNCS}, title = {{Surrogate}-{Driven} {Estimation} of {Respiratory} {Motion} and {Layers} in {X}-{Ray} {Fluoroscopy}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Fischer15-SEO.pdf}, venue = {München}, volume = {9349}, year = {2015} } @article{faucris.121437404, author = {Ahsen, Osman and Tao, Yuankai Kenny and Potsaid, Benjamin and Sheikine, Yuri and Jiang, James and Grulkowski, Ireneusz and Tsai, Tsung-Han and Jayaraman, Vijaysekhar and Kraus, Martin and Connolly, James L. and Hornegger, Joachim and Cable, Alex E. and Fujimoto, James G.}, doi = {10.1364/OE.21.018021}, faupublication = {yes}, journal = {Optics Express}, pages = {18021-18033}, peerreviewed = {Yes}, title = {{Swept} source optical coherence microscopy using a 1310 nm {VCSEL} light source}, volume = {21.0}, year = {2013} } @inproceedings{faucris.113211824, address = {Moscow}, author = {Höller, Kurt Emmerich and Petrunina, Maria and Penne, Jochen and Schneider, Armin and Wilhelm, Dirk and Feußner, Hubertus and Hornegger, Joachim}, booktitle = {Proceedings of the 4th Russian-Bavarian Conference on Biomedical Engineering}, date = {2008-07-08/2008-07-09}, editor = {Bauernschmitt Robert, Chaplygin Yuri, Feußner Hubertus, Gulyaev Yuri, Hornegger Joachim, Mayr Ernst, Navab Nassir, Schookin Sergey, Selishchev Sergey, Umnyashkin Sergei}, faupublication = {yes}, pages = {33-37}, peerreviewed = {unknown}, publisher = {MIET}, title = {{Taking} endoscopy to a higher dimension: {Computer} {Aided} 3-{D} {NOTES}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Hoeller08-TET.pdf}, venue = {Moscow}, year = {2008} } @article{faucris.121198044, abstract = {Introduction: The use of self-expandable microstents for treatment of broad-based intracranial aneurysms is widely spread. However, poor fluoroscopic visibility of the stents remains disadvantageous during the coiling procedure. Flat detector angiographic computed tomography (ACT) provides high resolution imaging of microstents even though integration of this imaging modality in the neurointerventional workflow has not been widely reported. Methods: An acrylic glass model was used to simulate the situation of a broad-based sidewall aneurysm. After insertion of a self-expandable microstent, ACT was performed. The resulting 3D dataset of the Microstent was subsequently projected into a conventional 2D fluoroscopic roadmap. This 3D visualization of the stent supported the coil embolization procedure of the in vitro aneurysm. Results: In vitro 2D-3D coregistration with integration of 3D ACT data of a self-expandable microstent in a conventional 2D roadmap is feasible. Conclusions: Unsatisfying stent visibility constrains clinical cases with complex parent vessel anatomy and challenging aneurysm geometry; hence, this technique potentially may be useful in such cases. In our opinion, the clinical feasibility and utility of this new technique should be verified in a clinical aneurysm embolization study series using 2D-3D coregistration. © 2009 Springer-Verlag.}, author = {Richter, Gregor and Pfister, Marcus and Struffert, Tobias and Engelhorn, Tobias and Dölken, Marc and Spiegel, Martin and Hornegger, Joachim and Dörfler, Arnd}, doi = {10.1007/s00234-009-0591-y}, faupublication = {yes}, journal = {Neuroradiology}, pages = {851-854}, peerreviewed = {Yes}, title = {{Technical} feasibility of {2D}-{3D} coregistration for visualization of self-expandable microstents to facilitate coil embolization of broad-based intracranial aneurysms: {An} in vitro study}, volume = {51}, year = {2009} } @article{faucris.111754764, abstract = {Purpose: Fast 3D cone beam reconstruction is mandatory for many clinical workflows. For that reason, researchers and industry work hard on hardware-optimized 3D reconstruction. Backprojection is a major component of many reconstruction algorithms that require a projection of each voxel onto the projection data, including data interpolation, before updating the voxel value. This step is the bottleneck of most reconstruction algorithms and the focus of optimization in recent publications. A crucial limitation, however, of these publications is that the presented results are not comparable to each other. This is mainly due to variations in data acquisitions, preprocessing, and chosen geometries and the lack of a common publicly available test dataset. The authors provide such a standardized dataset that allows for substantial comparison of hardware accelerated backprojection methods. Methods: They developed an open platform RabbitCT (www.rabbitCT.com) for worldwide comparison in backprojection performance and ranking on different architectures using a specific high resolution C-arm CT dataset of a rabbit. This includes a sophisticated benchmark interface, a prototype implementation in C++, and image quality measures. Results: At the time of writing, six backprojection implementations are already listed on the website. Optimizations include multithreading using Intel threading building blocks and OpenMP, vectorization using SSE, and computation on the GPU using CUDA 2.0. Conclusions: There is a need for objectively comparing backprojection implementations for reconstruction algorithms. RabbitCT aims to provide a solution to this problem by offering an open platform with fair chances for all participants. The authors are looking forward to a growing community and await feedback regarding future evaluations of novel software- and hardware-based acceleration schemes. © 2009 American Association of Physicists in Medicine.}, author = {Rohkohl, Christopher and Keck, Benjamin and Hofmann, Hannes and Hornegger, Joachim}, doi = {10.1118/1.3180956}, faupublication = {yes}, journal = {Medical Physics}, pages = {3940-3944}, peerreviewed = {Yes}, title = {{Technical} {Note}: {RabbitCT}-an open platform for benchmarking {3D} cone-beam reconstruction algorithms}, volume = {36}, year = {2009} } @article{faucris.121398464, author = {Ritt, Philipp and Hornegger, Joachim and Kuwert, Torsten}, doi = {10.1055/s-0031-1271624}, faupublication = {yes}, journal = {Der Nuklearmediziner}, pages = {09-20}, peerreviewed = {No}, title = {{Technik} und physikalische {Aspekte} der {SPECT} / {CT}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Ritt11-TUP.pdf}, volume = {34.0}, year = {2011} } @article{faucris.108170524, abstract = {
Methods : OCTA imaging of patients with various stages of AMD and DR was performed with a 1050 nm swept source OCT system at a 400 kHz A-scan rate using a 5 repeated B-scan protocol. Variable interscan time analysis (VISTA) was used to compute the OCTA decorrelation data from pairs of B-scans having 1.5 ms and 3.0 ms separations. The two resulting OCTA data sets were used to compute relative flow speeds, which were then mapped to a color space for display.
Results : The VISTA flow maps for a representative patient with non-proliferative DR (NPDR), and for a patient with geographic atrophy (GA) are shown in Figures 1 and 2, respectively. The VISTA map of the NPDR eye shows slower flows associated with capillary loops in the OCTA image. The VISTA map of the GA eye shows slower flows in the area of atrophy, and on the borders of atrophy.
Conclusions : A method for visualizing VISTA OCTA data is developed and used to differentiate flow speeds in DR and AMD eyes featuring GA. Differentiation of flow speeds is an important first step towards quantitative OCTA and may be useful for assessing vascular diseases at a reversible stag}, author = {Ploner, Stefan and Moult, Eric M. and Waheed, Nadia K. and Husvogt, Lennart and Schottenhamml, Julia and Lee, Byungkun and Hornegger, Joachim and Duker, Jay S. and Rosenfeld, Philip and Fujimoto, James G.}, booktitle = {Investigative Ophthalmology & Visual Science}, date = {2016-05-01/2016-05-05}, edition = {12}, faupublication = {yes}, keywords = {oct;octa; oct angiography;vista;variable interscan time analysis;blood flow}, note = {UnivIS-Import:2018-09-11:Pub.2016.tech.IMMD.IMMD5.toward{\_}7}, peerreviewed = {Yes}, title = {{Toward} quantitative {OCT} angiography: visualizing flow impairment using variable interscan time analysis ({VISTA})}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Ploner16-TQO.pdf}, venue = {Seattle, WA, USA}, volume = {57}, year = {2016} } @article{faucris.110064064, abstract = {Purpose: Currently available optical coherence tomography angiography systems provide information about blood flux but only limited information about blood flow speed. The authors develop a method for mapping the previously proposed variable interscan time analysis (VISTA) algorithm into a color display that encodes relative blood flow speed. Methods: Optical coherence tomography angiography was performed with a 1,050 nm, 400 kHz A-scan rate, swept source optical coherence tomography system using a 5 repeated B-scan protocol. Variable interscan time analysis was used to compute the optical coherence tomography angiography signal from B-scan pairs having 1.5 millisecond and 3.0 milliseconds interscan times. The resulting VISTA data were then mapped to a color space for display. Results: The authors evaluated the VISTA visualization algorithm in normal eyes (n = 2), nonproliferative diabetic retinopathy eyes (n = 6), proliferative diabetic retinopathy eyes (n = 3), geographic atrophy eyes (n = 4), and exudative age-related macular degeneration eyes (n = 2). All eyes showed blood flow speed variations, and all eyes with pathology showed abnormal blood flow speeds compared with controls. Conclusion: The authors developed a novel method for mapping VISTA into a color display, allowing visualization of relative blood flow speeds. The method was found useful, in a small case series, for visualizing blood flow speeds in a variety of ocular diseases and serves as a step toward quantitative optical coherence tomography angiograph}, author = {Ploner, Stefan and Moult, Eric M. and Choi, WooJhon and Waheed, Nadia K. and Lee, Byungkun and Novais, Eduardo A. and Cole, Emily D. and Potsaid, Benjamin and Husvogt, Lennart and Schottenhamml, Julia and Maier, Andreas and Rosenfeld, Philip and Duker, Jay S. and Hornegger, Joachim and Fujimoto, James G.}, doi = {10.1097/IAE.0000000000001328}, faupublication = {yes}, journal = {Retina (Philadelphia, Pa.)}, keywords = {Age-related macular degeneration; Choroidal neovascularization; Nascent geographic atrophy; Ocular blood flow; Optical coherence tomography (OCT); Optical coherence tomography angiography (OCTA); Variable interscan time analysis (VISTA)}, note = {UnivIS-Import:2017-12-18:Pub.2016.tech.IMMD.IMMD5.toward{\_}9}, pages = {S118-S126}, peerreviewed = {Yes}, title = {{Toward} {Quantitative} {Optical} {Coherence} {Tomography} {Angiography}: {Visualizing} {Blood} {Flow} {Speeds} in {Ocular} {Pathology} {Using} {Variable} {Interscan} {Time} {Analysis}}, volume = {32}, year = {2016} } @inproceedings{faucris.108099024, author = {Rohkohl, Christopher and Lauritsch, Günter and Prümmer, Marcus and Boese, Jan and Hornegger, Joachim}, booktitle = {Proceedings of 10th Fully 3D Meeting and 2nd HPIR Workshop}, date = {2009-09-05/2009-09-10}, editor = {Tsui Benjamin M. W.}, faupublication = {yes}, pages = {323-326}, peerreviewed = {unknown}, title = {{Towards} 4-{D} {Cardiac} {Reconstruction} without {ECG} and {Motion} {Periodicity} using {C}-arm {CT}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Rohkohl09-T4C.pdf}, venue = {Beijing}, year = {2009} } @inproceedings{faucris.108209244, author = {Hofmann, Hannes and Keck, Benjamin and Rohkohl, Christopher and Hornegger, Joachim}, booktitle = {Proceedings of 10th Fully 3D Meeting and 2nd HPIR Workshop}, date = {2009-09-05/2009-09-10}, editor = {Tsui Benjamin M. W.}, faupublication = {yes}, pages = {1-4}, peerreviewed = {unknown}, title = {{Towards} {C}-arm {CT} {Reconstruction} on {Larrabee}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Hofmann09-TCC.pdf}, venue = {Beijing}, year = {2009} } @article{faucris.114010204, abstract = {It is known that a reduction of the field-of-view in 3-D X-ray imaging is proportional to a reduction in radiation dose. The resulting truncation, however, is incompatible with conventional reconstruction algorithms. Recently, a novel method for region of interest reconstruction that uses neither prior knowledge nor extrapolation has been published, named approximated truncation robust algorithm for computed tomography (ATRACT). It is based on a decomposition of the standard ramp filter into a 2-D Laplace filtering and a 2-D Radon-based residual filtering step. In this paper, we present two variants of the original ATRACT. One is based on expressing the residual filter as an efficient 2-D convolution with an analytically derived kernel. The second variant is to apply ATRACT in 1-D to further reduce computational complexity. The proposed algorithms were evaluated by using a reconstruction benchmark, as well as two clinical data sets. The results are encouraging since the proposed algorithms achieve a speed-up factor of up to 245 compared to the 2-D Radon-based ATRACT. Reconstructions of high accuracy are obtained, e.g., even real-data reconstruction in the presence of severe truncation achieve a relative root mean square error of as little as 0.92% with respect to nontruncated data. © 1982-2012 IEEE.}, author = {Xia, Yan and Hofmann, Hannes and Dennerlein, Frank and Müller, Kerstin and Schwemmer, Chris and Bauer, Sebastian and Chintalapani, Gouthami and Chinnadurai, Ponraj and Hornegger, Joachim and Maier, Andreas}, doi = {10.1109/TMI.2013.2291622}, faupublication = {yes}, journal = {IEEE Transactions on Medical Imaging}, keywords = {C-arm CT; dose reduction; image reconstruction; region of interest; truncation; truncation artifact}, note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.toward{\_}3}, pages = {593-606}, peerreviewed = {Yes}, title = {{Towards} {Clinical} {Application} of a {Laplace} {Operator}-based {Region} of {Interest} {Reconstruction} {Algorithm} in {C}-arm {CT}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Xia14-TCA.pdf}, volume = {33/2014}, year = {2014} } @inproceedings{faucris.107940844, address = {Berlin Heidelberg}, author = {Koch, Martin and Bauer, Sebastian and Hornegger, Joachim and Strobel, Norbert}, booktitle = {Bildverarbeitung für die Medizin 2013}, date = {2013-03-03}, editor = {Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff}, faupublication = {yes}, pages = {332-337}, publisher = {Springer}, title = {{Towards} {Deformable} {Shape} {Modeling} of the {Left} {Atrium} {Using} {Non}-{Rigid} {Coherent} {Point} {Drift} {Registration}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Koch13-TDS.pdf}, venue = {Heidelberg, Germany}, year = {2013} } @inproceedings{faucris.208847332, author = {Bernecker, David and Riess, Christian and Angelopoulou, Elli and Hornegger, Joachim}, booktitle = {Pattern Recognition (Joint 34th DAGM and 36th OAGM Symposium)}, faupublication = {yes}, peerreviewed = {Yes}, title = {{Towards} {Improving} {Solar} {Irradiance} {Forecasts} with {Methods} from {Computer} {Vision}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Bernecker12-TIS.pdf}, venue = {Graz}, year = {2012} } @article{faucris.224592722, abstract = {Robust and fast detection of anatomical structures represents an important component of medical image analysis technologies. Current solutions for anatomy detection are based on machine learning, and are generally driven by suboptimal and exhaustive search strategies. In particular, these techniques do not effectively address cases of incomplete data, i.e., scans acquired with a partial field-of-view. We address these challenges by following a new paradigm, which reformulates the detection task to teaching an intelligent artificial agent how to actively search for an anatomical structure. Using the principles of deep reinforcement learning with multi-scale image analysis, artificial agents are taught optimal navigation paths in the scale-space representation of an image, while accounting for structures that are missing from the field-of-view. The spatial coherence of the observed anatomical landmarks is ensured using elements from statistical shape modeling and robust estimation theory. Experiments show that our solution outperforms marginal space deep learning, a powerful deep learning method, at detecting different anatomical structures without any failure. The dataset contains 5043 3D-CT volumes from over 2000 patients, totaling over 2,500,000 image slices. In particular, our solution achieves 0% false-positive and 0% false-negative rates at detecting whether the landmarks are captured in the field-of-view of the scan (excluding all border cases), with an average detection accuracy of 2.78 mm. In terms of runtime, we reduce the detection-time of the marginal space deep learning method by 20–30 times to under 40 ms, an unmatched performance for high resolution incomplete 3D-CT data.}, author = {Ghesu, Florin-Cristian and Georgescu, Bogdan and Grbic, Sasa and Maier, Andreas and Hornegger, Joachim and Comaniciu, Dorin}, doi = {10.1016/j.media.2018.06.007}, faupublication = {yes}, journal = {Medical Image Analysis}, keywords = {Deep learning; Deep reinforcement learning; Incomplete 3D-data; M-estimator sample consensus; Multi-scale detection; Real-time detection; Robust statistical shape-modeling; Scale-space modeling}, note = {UnivIS-Import:2019-08-15:Pub.2018.tech.IMMD.IMMD5.toward{\_}1}, pages = {203-213}, peerreviewed = {Yes}, title = {{Towards} {Intelligent} {Robust} {Detection} of {Anatomical} {Structures} in {Incomplete} {Volumetric} {Data}}, volume = {1}, year = {2018} } @inproceedings{faucris.120200344, abstract = {In this study we systematically investigate biases relevant to quantitative SPECT if OSEM with isotropic (3D) depth dependent resolution recovery (OSEM-3D), attenuation and scatter correction is used. We focus on the dependencies of activity estimation errors on the projection operator, structure size, pixel size, count density and reconstruction parameters. We use Tc-99m to establish a base line. Four Siemens low energy collimators (Low Energy Ultra High Resolution, Low Energy High Resolution, Low Energy All Purpose, Low Energy High Sensitivity) with geometric resolution between 4.4 mm and 13.1 mm at 10 cm distance and sensitivity between 100 cpm/μCi and 1020 cpm/μCi are tested with simulations of spheres with diameters between 9.8 mm and 168 mm in background. Pixel sizes and total counts are varied between 2.4 mm and 9.6 mm and 0.125 and 32 million counts. Images are reconstructed with OS EM-3D (Flash3D) with attenuation and scatter correction. Emission recovery is quantitatively measured for different reconstruction parameter settings. In addition, physical measurements of standard quality control phantoms are performed using an actual SPECT/CT system (Symbia® T6). Cross calibration of the imaging system with a well counter and results from simulations are used to quantitatively estimate the true activity concentration in the physical phantoms. Results show variations of emission recovery between 13.8% and 104.5% depending on sphere volume and number of OSEM-3D updates. After correction for the emission recovery errors and cross calibration of the imaging system the errors in absolute quantitation using the physical sphere phantom are between +0.01±0.61% for the largest (16 ml) and -5.87±1.00% for the smallest (0.5 ml) sphere. As a conclusion, the emission recovery varies over a wide range and is highly dependent on imaging parameters when using OSEM-3D reconstruction. Accurate quantitation in phantoms is possible given that errors at the specific imaging operation point can be estimated. In a clinical setup this is a nontrivial task, and perhaps too cumbersome for routine clinical use. © 2008 IEEE.}, author = {Zeintl, Johannes and Vija, A. H. and Yahil, A. and Ding, X. and Hornegger, Joachim and Kuwert, Torsten}, booktitle = {2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008}, doi = {10.1109/NSSMIC.2008.4774185}, faupublication = {yes}, pages = {4106-4111}, peerreviewed = {unknown}, title = {{Towards} quantitative {SPECT}: {Error} estimation of {SPECT} {OSEM} with {3D} resolution recovery, attenuation correction and scatter correction}, venue = {Dresden}, volume = {null}, year = {2008} } @inproceedings{faucris.121199804, abstract = {Two-dimensional roadmapping is considered state-of-the-art in guidewire navigation during endovascular interventions. This paper presents a methodology for extracting the guidewire from a sequence of 2-D roadmap images in almost real time. The detected guidewire can be used to improve its visibility on noisy fluoroscopic images or to do a back projection of the guidewire into a registered 3-D vessel tree. A lineness filter based on the Hessian matrix is used to detect only those line structures in the image that lie within the vessel tree. Loose wire fragments are properly linked by a novel connection method fulfilling clinical processing requirements. We show that Dijkstra's algorithm can be applied to efficiently compute the optimal connection path. The entire guidewire is finally approximated by a B-spline curve in a least-squares manner. The proposed method is both integrated into a commercial clinical prototype and evaluated on five different patient data sets containing up to 249 frames per image series. © 2009 SPIE.}, author = {Spiegel, Martin and Pfister, Markus and Hahn, Dieter and Daum, Volker and Hornegger, Joachim and Struffert, Tobias and Dörfler, Arnd}, booktitle = {Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging}, doi = {10.1117/12.811367}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {{Towards} {Real}-time {Guidewire} {Detection} and {Tracking} in the {Field} of {Neuroradiology}}, venue = {Lake Buena Vista, FL}, volume = {7261}, year = {2009} } @article{faucris.110524524, abstract = {This study is based on the case of BMW, and aims to improve the determination of perceived consumer satisfaction in the automotive industry by transferring existing knowledge from the health care sector. A literature analysis of the health care sector and the automotive industry was conducted to identify the common concepts of determining satisfaction. These were the service encounter, situational factors, and sociodemographics. The practical application was tested by analyzing a contemporary survey from BMW. Based on the findings, managers responsible for customer satisfaction in after-sales services in the automotive industry could improve measurement of customer satisfaction.}, author = {Meinzer, Stefan and Prenninger, Johann and Vesel, Patrick and Kornhuber, Johannes and Volmer, Judith and Hornegger, Joachim and Eskofier, Björn}, doi = {10.1007/s11628-015-0284-z}, faupublication = {yes}, journal = {Service Business}, keywords = {Automotive industry; BMW; Customer satisfaction; Health care; Patient satisfaction}, note = {UnivIS-Import:2015-10-26:Pub.2015.tech.IMMD.IMMD5.transl}, pages = {1-35}, peerreviewed = {Yes}, title = {{Translating} satisfaction determination from health care to the automotive industry}, volume = {06}, year = {2015} } @inproceedings{faucris.121331804, author = {Hoppe, Stefan and Hornegger, Joachim and Lauritsch, Günter and Dennerlein, Frank and Noo, Frédéric}, booktitle = {Proceedings Fully 3D Meeting and HPIR Workshop}, date = {2007-07-09/2007-07-13}, editor = {Kachelrieß Marc}, faupublication = {yes}, pages = {209-212}, peerreviewed = {unknown}, title = {{Truncation} {Correction} for {Non}-horizontal {Filter} {Lines}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Hoppe07-TCF.pdf}, venue = {Lindau}, year = {2007} } @article{faucris.120199904, abstract = {State-of-the-art filtered backprojection (FBP) algorithms often define the filtering operation to be performed along oblique filtering lines in the detector. A limited scan field of view leads to the truncation of those filtering lines, which causes artifacts in the final reconstructed volume. In contrast to the case where filtering is performed solely along the detector rows, no methods are available for the case of oblique filtering lines. In this work, the authors present two novel truncation correction methods which effectively handle data truncation in this case. Method 1 (basic approach) handles data truncation in two successive preprocessing steps by applying a hybrid data extrapolation method, which is a combination of a water cylinder extrapolation and a Gaussian extrapolation. It is independent of any specific reconstruction algorithm. Method 2 (kink approach) uses similar concepts for data extrapolation as the basic approach but needs to be integrated into the reconstruction algorithm. Experiments are presented from simulated data of the FORBILD head phantom, acquired along a partial-circle-plus-arc trajectory. The theoretically exact M-line algorithm is used for reconstruction. Although the discussion is focused on theoretically exact algorithms, the proposed truncation correction methods can be applied to any FBP algorithm that exposes oblique filtering lines. © 2008 American Association of Physicists in Medicine.}, author = {Hoppe, Stefan and Hornegger, Joachim and Lauritsch, Günter and Dennerlein, Frank and Noo, Frederic}, doi = {10.1118/1.3002416}, faupublication = {yes}, journal = {Medical Physics}, pages = {5910-5920}, peerreviewed = {Yes}, title = {{Truncation} correction for oblique filtering lines}, volume = {35}, year = {2008} } @inproceedings{faucris.121152064, abstract = {In C-arm computed tomography, patient dose reduction by volume-of-interest (VOI) imaging is of increasing interest for many clinical applications. A remaining limitation of VOI imaging is the truncation artifact when reconstructing a 3D volume. It can either be cupping towards the boundaries of the field-of-view (FOV) or an incorrect offset in the Hounsfield values of the reconstructed voxels. In this paper, we present a new method for correction of truncation artifacts in a collimated scan. When axial or lateral collimation are applied, scattered radiation still reaches the detector and is recorded outside of the FOV. If the full area of the detector is read out we can use this scattered signal to estimate the truncated part of the object. We apply three processing steps: detection of the collimator edge, adjustment of the area outside the FOV, and interpolation of the collimator edge. Compared to heuristic truncation correction methods we were able to reconstruct high contrast structures like bones outside of the FOV. Inside the FOV we achieved similar reconstruction results as with water cylinder truncation correction. These preliminary results indicate that scattered radiation outside the FOV can be used to improve image quality and further research in this direction seems beneficial. © 2013 SPIE.}, author = {Bier, Bastian and Maier, Andreas and Hofmann, Hannes and Schwemmer, Chris and Xia, Yan and Struffert, Tobias and Hornegger, Joachim}, booktitle = {Medical Imaging 2013: Physics of Medical Imaging}, doi = {10.1117/12.2007486}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {{Truncation} correction for {VOI} {C}-arm {CT} using scattered radiation}, venue = {Lake Buena Vista, FL}, volume = {8668}, year = {2013} } @inproceedings{faucris.120319144, author = {Xia, Yan and Maier, Andreas and Dennerlein, Frank and Hornegger, Joachim}, booktitle = {Fully3D 2013}, date = {2013-06-16/2013-06-20}, editor = {Fully3D}, faupublication = {yes}, pages = {118-121}, title = {{Truncation} {Correction} using a {3D} {Filter} for {Cone}-beam {CT}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Xia13-TCU.pdf}, venue = {Lake Tahoe, California, USA}, year = {2013} } @inproceedings{faucris.118786624, author = {Kästner, Thomas and Hornegger, Joachim and Maier, Andreas and Xia, Yan and Bauer, Sebastian}, booktitle = {Proceedings in Bildverarbeitung für die Medizin 2015}, faupublication = {yes}, note = {UnivIS-Import:2015-04-17:Pub.2015.tech.IMMD.IMMD5.trunca{\_}3}, pages = {516-521}, title = {{Truncation} {Robust} {C}-{Arm} {CT} {Reconstruction} for {Dynamic} {Collimation} {Acquisition} {Schemes}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Kaestner15-TRC.pdf}, venue = {Lübeck}, year = {2015} } @inproceedings{faucris.120693364, author = {Hornegger, Joachim and Hahn, Dieter and Bautz, Werner and Kuwert, Torsten and Römer, Wolfgang}, booktitle = {Proceedings of the Radiological Society of North America (RSNA 2004)}, date = {2004-11-28/2004-12-03}, editor = {The Radiological Society of North America (RSNA)}, faupublication = {yes}, pages = {355.0}, peerreviewed = {unknown}, title = {{Tumor} {Therapy} {Monitoring} {Based} on {Monomodal} {Image} {Fusion}}, venue = {Chicago, IL}, year = {2005} } @inproceedings{faucris.121383724, author = {Wimmer, Andreas and Soza, Grzegorz and Hornegger, Joachim}, booktitle = {3D Segmentation in the Clinic - A Grand Challenge MICCAI 2007 Workshop Proceedings}, date = {2007-10-29/2007-11-02}, editor = {Heimann Tobias, Styner Martin, van Ginneken Bram}, faupublication = {yes}, pages = {179-188}, peerreviewed = {unknown}, title = {{Two}-stage {Semi}-automatic {Organ} {Segmentation} {Framework} using {Radial} {Basis} {Functions} and {Level} {Sets}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2007/Wimmer07-TSO.pdf}, venue = {Brisbane, QLD}, year = {2007} } @article{faucris.113525544, abstract = {We developed a micromotor based miniature catheter with an outer diameter of 3.2 mm for ultrahigh speed endoscopic swept source optical coherence tomography (OCT) using a vertical cavity surfaceemitting laser (VCSEL) at a 1 MHz axial scan rate. The micromotor can rotate a micro-prism at several hundred frames per second with less than 5 V drive voltage to provide fast and stable scanning, which is not sensitive to the bending of the catheter. The side-viewing probe can be pulled back to acquire a three-dimensional (3D) data set covering a large area on the specimen. The VCSEL provides a high axial scan rate to support dense sampling under high frame rate operation. Using a high speed data acquisition system, in vivo 3D-OCT imaging in the rabbit GI tract and ex vivo imaging of a human colon specimen with 8 μm axial resolution, 8 μm lateral resolution and 1.2 mm depth range in tissue at a frame rate of 400 fps was demonstrated. © 2013 Optical Society of America.}, author = {Tsai, Tsung-Han and Potsaid, Benjamin and Tao, Yuankai Kenny and Jayaraman, Vijaysekhar and Jiang, James and Heim, Peter J. S. and Kraus, Martin and Zhou, Chao and Hornegger, Joachim and Mashimo, Hiroshi and Cable, Alex E. and Fujimoto, James G.}, doi = {10.1364/BOE.4.001119}, faupublication = {yes}, journal = {Biomedical Optics Express}, note = {UnivIS-Import:2015-03-09:Pub.2013.tech.IMMD.IMMD5.ultrah{\_}8}, pages = {1119-1132}, peerreviewed = {Yes}, title = {{Ultrahigh} speed endoscopic optical coherence tomography using micromotor imaging catheter and {VCSEL} technology}, volume = {4}, year = {2013} } @inproceedings{faucris.120181204, abstract = {We developed a micro-motor based miniature catheter with an outer diameter of 3mm for ultrahigh speed endoscopic vbvvvoptical coherence tomography (OCT) using vertical cavity surface-emitting laser (VCSEL) at a 1MHz axial scan rate. The micro-motor can rotate a micro-prism at 1,200-72,000rpm (corresponding to 20- 1,200fps) with less than 5V driving voltage to provide fast and stable scanning, which is not sensitive to the bending of the catheter. The side-viewing probe can be pulled back for a long distance to acquire three-dimensional (3D) dataset covering a large area on the specimen. VCSEL provides high a-line rate to support dense sampling under high frame rate operation. With the use of a C++ based high speed data acquisition (DAQ) system, in vivo three-dimensional OCT imaging in rabbit GI tract with 1.6mm depth range, 11μm axial resolution, 8μm lateral resolution, and frame rate of 400fps is demonstrated. © 2013 Copyright SPIE.}, author = {Tsai, Tsung-Han and Tao, Yuankai Kenny and Potsaid, Benjamin and Jayaraman, Vijaysekhar and Kraus, Martin and Heim, Peter J. S. and Hornegger, Joachim and Mashimo, Hiroshi and Cable, Alex E. and Fujimoto, James G.}, booktitle = {Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVII}, doi = {10.1117/12.2006952}, faupublication = {yes}, pages = {-}, title = {{Ultrahigh} speed endoscopic optical coherence tomography using micro-motor imaging catheter and {VCSEL} technology}, venue = {San Francisco, CA}, volume = {8571}, year = {2013} } @article{faucris.121136444, abstract = {Motor impairments are the prerequisite for the diagnosis in Parkinson's disease (PD). The cardinal symptoms (bradykinesia, rigor, tremor, and postural instability) are used for disease staging and assessment of progression. They serve as primary outcome measures for clinical studies aiming at symptomatic and disease modifying interventions. One major caveat of clinical scores such as the Unified Parkinson Disease Rating Scale (UPDRS) or Hoehn&Yahr (H&Y) staging is its rater and time-of-assessment dependency. Thus, we aimed to objectively and automatically classify specific stages and motor signs in PD using a mobile, biosensor based Embedded Gait Analysis using Intelligent Technology (eGaIT). eGaIT consist of accelerometers and gyroscopes attached to shoes that record motion signals during standardized gait and leg function. From sensor signals 694 features were calculated and pattern recognition algorithms were applied to classify PD, H&Y stages, and motor signs correlating to the UPDRS-III motor score in a training cohort of 50 PD patients and 42 age matched controls. Classification results were confirmed in a second independent validation cohort (42 patients, 39 controls). eGaIT was able to successfully distinguish PD patients from controls with an overall classification rate of 81%. Classification accuracy increased with higher levels of motor impairment (91% for more severely affected patients) or more advanced stages of PD (91% for H&Y III patients compared to controls), supporting the PD-specific type of analysis by eGaIT. In addition, eGaIT was able to classify different H&Y stages, or different levels of motor impairment (UPDRS-III). In conclusion, eGaIT as an unbiased, mobile, and automated assessment tool is able to identify PD patients and characterize their motor impairment. It may serve as a complementary mean for the daily clinical workup and support therapeutic decisions throughout the course of the disease. © 2013 Klucken et al.}, author = {Klucken, Jochen and Barth, Jens and Kugler, Patrick and Schlachetzki, Johannes and Henze, Thore and Marxreiter, Franz and Kohl, Zacharias and Steidl, Ralph and Hornegger, Joachim and Eskofier, Björn and Winkler, Jürgen}, doi = {10.1371/journal.pone.0056956}, faupublication = {yes}, journal = {PLoS ONE}, note = {EVALuna2:25318}, peerreviewed = {Yes}, title = {{Unbiased} and {Mobile} {Gait} {Analysis} {Detects} {Motor} {Impairment} in {Parkinson}'s {Disease}}, volume = {8}, year = {2013} } @inproceedings{faucris.121224884, abstract = {The evaluation of tumor growth as regression under therapy is an important clinical issue. Rigid registration of sequentially acquired SD-images has proven its value for this purpose. Existing approaches to rigid image registration use the whole volume for the estimation of the rigid transform. Non-rigid soft tissue deformation, however, will imply a bias to the registration result, because local deformations cannot be modeled by rigid transforms. Anatomical substructures, like bones or teeth, are not affected by these deformations, but follow a rigid transform. This important observation is incorporated in the proposed registration algorithm. The selection of anatomical substructure is done by manual interaction of medical experts adjusting the transfer function of the volume rendering software. The parameters of the transfer function are used to identify the voxels that are considered for registration. A rigid transform is estimated by a quaternion gradient descent algorithm based on the intensity values of the specified tissue classes. Commonly used voxel intensity measures are adjusted to the modified registration algorithm. The contribution describes the mathematical framework of the proposed registration method and its implementation in a commercial software package. The experimental evaluation includes the discussion of different similarity measures, the comparison of the proposed method to established rigid registration techniques and the evaluation of the efficiency of the new method. We conclude with the discussion of potential medical applications of the proposed registration algorithm.}, author = {Hahn, Dieter and Hornegger, Joachim and Bautz, Werner and Kuwert, Torsten and Römer, Wolfgang}, booktitle = {Medical Imaging 2005 - Image Processing}, doi = {10.1117/12.594577}, editor = {Fitzpatrick J.M.Reinhardt J.M.}, faupublication = {yes}, pages = {151-162}, peerreviewed = {unknown}, title = {{Unbiased} rigid registration using transfer functions}, venue = {San Diego, CA}, volume = {5747}, year = {2005} } @article{faucris.118355644, author = {Fischer, Peter and Pohl, Thomas and Faranesh, Anthony and Maier, Andreas and Hornegger, Joachim}, doi = {10.1109/TMI.2016.2609888}, faupublication = {yes}, journal = {IEEE Transactions on Medical Imaging}, keywords = {Clustering; Dimensionality reduction; Fluoroscopy; Patch-based; Respiratory signal; X-ray}, note = {UnivIS-Import:2017-07-10:Pub.2017.tech.IMMD.IMMD5.unsupe}, pages = {865-877}, peerreviewed = {Yes}, title = {{Unsupervised} {Learning} for {Robust} {Respiratory} {Signal} {Estimation} from {X}-{Ray} {Fluoroscopy}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Fischer17-ULF.pdf}, volume = {36}, year = {2017} } @inproceedings{faucris.108766504, abstract = {We propose a novel unstained cell detection algorithm based on unsupervised learning. The algorithm utilizes the scale invariant feature transform (SIFT), a self-labeling algorithm, and two clustering steps in order to achieve high performance in terms of time and detection accuracy. Unstained cell imaging is dominated by phase contrast and bright field microscopy. Therefore, the algorithm was assessed on images acquired using these two modalities. Five cell lines having in total 37 images and 7250 cells were considered for the evaluation: CHO, L929, Sf21, HeLa, and Bovine cells. The obtained F-measures were between 85.1 and 89.5. Compared to the state-of-the-art, the algorithm achieves very close F-measure to the supervised approaches in much less time.}, author = {Mualla, Firas and Schöll, Simon and Sommerfeldt, Björn and Maier, Andreas and Steidl, Stefan and Buchholz, Rainer and Hornegger, Joachim}, booktitle = {Lecture Notes in Computer Science, Volume 8675, MICCAI 2014 Proceedings, Part III}, faupublication = {yes}, note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD5.unsupe{\_}6}, pages = {377-384}, title = {{Unsupervised} {Unstained} {Cell} {Detection} by {SIFT} {Keypoint} {Clustering} and {Self}-labeling {Algorithm}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Mualla14-UUC.pdf}, venue = {Boston, MA, USA}, year = {2014} } @inproceedings{faucris.279699250, abstract = {We propose a novel unstained cell detection algorithm based on unsupervised learning. The algorithm utilizes the scale invariant feature transform (SIFT), a self-labeling algorithm, and two clustering steps in order to achieve high performance in terms of time and detection accuracy. Unstained cell imaging is dominated by phase contrast and bright field microscopy. Therefore, the algorithm was assessed on images acquired using these two modalities. Five cell lines having in total 37 images and 7250 cells were considered for the evaluation: CHO, L929, Sf21, HeLa, and Bovine cells. The obtained F-measures were between 85.1 and 89.5. Compared to the state-of-the-art, the algorithm achieves very close F-measure to the supervised approaches in much less time.}, author = {Muallal, Firas and Schöll, Simon and Sommerfeldt, Björn and Maier, Andreas and Steidl, Stefan and Buchholz, Rainer and Hornegger, Joachim}, booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)}, faupublication = {yes}, note = {CRIS-Team Scopus Importer:2022-08-05}, pages = {377-384}, peerreviewed = {unknown}, title = {{Unsupervised} unstained cell detection by {SIFT} keypoint clustering and self-labeling algorithm.}, volume = {17}, year = {2014} } @inproceedings{faucris.113205664, author = {Bourier, Felix and Schneider, Hans-Jürgen and Ganslmeier, Patrycja and Heißenhuber, Frank and Fischer, Robert and Brost, Alexander and Koch, Martin and Strobel, Norbert and Hornegger, Joachim and Kurzidim, Klaus}, booktitle = {77. Jahrestagung}, date = {2011-04-27/2011-04-30}, editor = {Deutsche Gesellschaft für Kardiologie}, faupublication = {yes}, pages = {228.0}, peerreviewed = {unknown}, title = {{Unterstuetzung} der transseptalen {Punktion} durch vorherige {Überlagerung} eines {3D}-{Volumens} von linkem {Atrium} und {Aorta}}, venue = {Mannheim}, year = {2011} } @inproceedings{faucris.108099244, author = {Fieselmann, Andreas and Ganguly, Arundhuti and Deuerling-Zheng, Yu and Boese, Jan and Fahrig, Rebecca and Hornegger, Joachim}, booktitle = {Medizinische Physik 2010}, date = {2010-09-29/2010-10-02}, editor = {DGMP}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {{Using} a {C}-arm {CT} for {Interventional} {Perfusion} {Imaging}: {A} {Phantom} {Study} to {Measure} {Linearity} {Between} {Iodine} {Concentration} and {Hounsfield} {Values}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Fieselmann10-UAC.pdf}, venue = {Freiburg i.Br.}, year = {2010} } @inproceedings{faucris.121199584, abstract = {State-of-the-art morphological imaging techniques usually provide high resolution 3D images with a huge number of slices. In clinical practice, however, 2D slice-based examinations are still the method of choice even for these large amounts of data. Providing intuitive interaction methods for specific 3D medical visualization applications is therefore a critical feature for clinical imaging applications. For the domain of catheter navigation and surgery planning, it is crucial to assist the physician with appropriate visualization techniques, such as 3D segmentation maps, fly-through cameras or virtual interaction approaches. There has been an ongoing development and improvement for controllers that help to interact with 3D environments in the domain of computer games. These controllers are based on both motion and infrared sensors and are typically used to detect 3D position and orientation. We have investigated how a state-of-the-art wireless motion sensor controller (Wiimote), developed by Nintendo, can be used for catheter navigation and planning purposes. By default the Wiimote controller only measure rough acceleration over a range of +/- 3g with 10% sensitivity and orientation. Therefore, a pose estimation algorithm was developed for computing accurate position and orientation in 3D space regarding 4 Infrared LEDs. Current results show that for the translation it is possible to obtain a mean error of (0.38cm, 0.41cm, 4.94cm) and for the rotation (0.16, 0.28) respectively. Within this paper we introduce a clinical prototype that allows steering of a virtual fly-through camera attached to the catheter tip by the Wii controller on basis of a segmented vessel tree. © 2009 SPIE.}, author = {Vitanovski, Dime and Hahn, Dieter and Daum, Volker and Hornegger, Joachim}, booktitle = {Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging}, doi = {10.1117/12.812426}, faupublication = {yes}, pages = {-}, peerreviewed = {unknown}, title = {{Using} a wireless motion controller for {3D} medical image catheter interactions}, venue = {Lake Buena Vista, FL}, volume = {7261}, year = {2009} } @article{faucris.109910284, abstract = {Purpose: Several cell detection approaches which deal with bright-field microscope images utilize defocusing to increase image contrast. The latter is related to the physical light phase through the transport of intensity equation (TIE). Recently, it was shown that it is possible to approximate the solution of the TIE using a low-pass monogenic signal framework. The purpose of this paper is to show that using the local phase of the aforementioned monogenic signal instead of the defocused image improves the cell/background classification accuracy. Materials and methods: The paper statement was tested on an image database composed of three cell lines: adherent CHO, adherent L929, and Sf21 in suspension. Local phase and local energy images were generated using the low-pass monogenic signal framework with axial derivative images as input. Machine learning was then employed to investigate the discriminative power of the local phase. Three classifier models were utilized: random forest (RF), support vector machine (SVM) with a linear kernel, and SVM with a radial basis function (RBF) kernel. Results: The improvement, averaged over cell lines, of classifying 5 x 5 sized patches extracted from the local phase image instead of the defocused image was 7.3 % using the RF, 11.6 % using the linear SVM, and 10.2 % when a RBF kernel was employed instead of the linear one. Furthermore, the feature images can be sorted by increasing discriminative power as follows: at-focus signal, local energy, defocused signal, local phase. The only exception to this order was the superiority of local energy over defocused signal for suspended cells. Conclusions: Local phase computed using the low-pass monogenic signal framework considerably outperforms the defocused image for the purpose of pixel-patch cell/background classification in bright-field microscopy. © 2013 CARS.}, author = {Mualla, Firas and Schöll, Simon and Sommerfeldt, Björn and Maier, Andreas and Steidl, Stefan and Buchholz, Rainer and Hornegger, Joachim}, doi = {10.1007/s11548-013-0969-5}, faupublication = {yes}, journal = {International Journal of Computer Assisted Radiology and Surgery}, keywords = {Bright-field microscopy; Cell detection; Local phase; Machine learning; Monogenic signal; Transport of intensity equation}, note = {UnivIS-Import:2015-03-09:Pub.2014.tech.IMMD.IMMD5.usingt}, pages = {379-386}, peerreviewed = {Yes}, title = {{Using} the {Low}-{Pass} {Monogenic} {Signal} {Framework} for {Cell}/{Background} {Classification} on {Multiple} {Cell} {Lines} in {Bright}-{Field} {Microscope} {Images}}, url = {https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Mualla14-UTL.pdf}, volume = {9}, year = {2014} } @inproceedings{faucris.108056784, address = {Heidelberg}, author = {Mualla, Firas and Schöll, Simon and Sommerfeldt, Björn and Hornegger, Joachim}, booktitle = {Proceedings des Workshops Bildverarbeitung für die Medizin 2013}, date = {2013-03-03}, editor = {Meinzer Hans-Peter, Deserno Thomas Martin}, faupublication = {yes}, pages = {170-174}, publisher = {Springer}, title = {{Using} the {Monogenic} {Signal} for {Cell}-{Background} {Classification} in {Bright}-{Field} {Microscope} {Images}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Mualla13-UTM.pdf}, venue = {Heidelberg}, year = {2013} } @inproceedings{faucris.121408584, address = {Berlin}, author = {Hahn, Dieter and Wolz, Gabriele and Sun, Yiyong and Sauer, Frank and Hornegger, Joachim and Kuwert, Torsten and Xu, Chenyang}, booktitle = {Bildverarbeitung für die Medizin 2006}, date = {2006-03-19/2006-03-21}, doi = {10.1007/3-540-32137-3{\_}45}, editor = {Handels H., Ehrhardt J., Horsch A., Meinzer H.-P., Tolxdorff T.}, faupublication = {yes}, pages = {221-225}, peerreviewed = {unknown}, publisher = {Springer}, title = {{Utilizing} {Salient} {Region} {Features} for {3D} {Multi}-{Modality} {Medical} {Image} {Registration}}, url = {http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2006/Hahn06-USR.pdf}, venue = {Hamburg}, year = {2006} } @inproceedings{faucris.120318484, abstract = {