4-D Motion Field Estimation by Combined Multiple Heart Phase Registration (CMHPR) for Cardiac C-arm Data

Müller K, Rohkohl C, Lauritsch G, Schwemmer C, Heidbüchel H, De Buck S, Nuyens D, Kyriakou Y, Köhler C, Hornegger J (2012)

Publication Status: Accepted

Publication Type: Conference contribution, Conference Contribution

Publication year: 2012

Original Authors: Müller Kerstin, Rohkohl Christopher, Lauritsch Günter, Schwemmer Chris, Heidbüchel Hein, De Buck Stijn, Nuyens Dieter, Kyriakou Yiannis, Köhler Christoph, Hornegger, Joachim

Pages Range: 3707-3712

Conference Proceedings Title: 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

Event location: Anaheim, CA

URI: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Mueller12-4MF.pdf

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.

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Involved external institutions

Siemens AG, Healthcare Sector Germany (DE) Katholieke Universiteit Leuven (KUL) / Catholic University of Leuven Belgium (BE)

How to cite

APA:

Müller, K., Rohkohl, C., Lauritsch, G., Schwemmer, C., Heidbüchel, H., De Buck, S.,... Hornegger, J. (2012). 4-D Motion Field Estimation by Combined Multiple Heart Phase Registration (CMHPR) for Cardiac C-arm Data. In IEEE (Eds.), 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (pp. 3707-3712). Anaheim, CA, US.

MLA:

Müller, Kerstin, et al. "4-D Motion Field Estimation by Combined Multiple Heart Phase Registration (CMHPR) for Cardiac C-arm Data." Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Anaheim, CA Ed. IEEE, 2012. 3707-3712.

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