Hutter J, Hofmann H, Grimm R, Greiser A, Saake M, Hornegger J, Dörfler A, Schmitt P (2012)
Publication Type: Conference contribution
Publication year: 2012
Publisher: Springer Verlag
Book Volume: 7511 LNCS
Pages Range: 511-518
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: FRA
ISBN: 9783642334177
DOI: 10.1007/978-3-642-33418-4_63
In current clinical practice, examinations of the carotid artery bifurcation are commonly carried out with Computed Tomography Angiography (CTA) or contrast-enhanced Magnetic Resonance Angiography (ceMRA). Quantitative information about vessel morphology, extracted from segmentations, is promising for diagnosis of vessel pathologies. However, both above-mentioned techniques require the administration of contrast media. In contrary, non-ce MRA methods such as Time-of-Flight (TOF) provide fully non-invasive imaging without any exogenous contrast agent. The diagnostic value of TOF MRA, however, for assessment of the carotid bifurcation area can be hampered due to its susceptibility to irregular blood flow patterns. Conventional methods for lumen segmentation are very sensitive to such signal voids and produce inaccurate results. In this work, a novel, fully automatic 3D segmentation algorithm is proposed which uses prior knowledge about irregular flow patterns. The presented technique has been successfully tested on eleven volunteer datasets as well as in a patient case, offering the comparison to CTA images. The sensitivity could be increased by 29.2% to 85.6% compared to standard level set methods. The root mean squared error in diameter measurements was reduced from 4.85mm to 1.44 mm.
APA:
Hutter, J., Hofmann, H., Grimm, R., Greiser, A., Saake, M., Hornegger, J.,... Schmitt, P. (2012). Prior-based automatic segmentation of the carotid artery lumen in TOF MRA (PASCAL). In Georg Langs, Le Lu, Bjoern H. Menze, Georg Langs, Zhuowen Tu, Bjoern H. Menze, Nicholas Ayache, Hervé Delingette, Antonio Criminisi, Albert Montillo, Polina Golland, Kensaku Mori (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 511-518). FRA: Springer Verlag.
MLA:
Hutter, Jana, et al. "Prior-based automatic segmentation of the carotid artery lumen in TOF MRA (PASCAL)." Proceedings of the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, FRA Ed. Georg Langs, Le Lu, Bjoern H. Menze, Georg Langs, Zhuowen Tu, Bjoern H. Menze, Nicholas Ayache, Hervé Delingette, Antonio Criminisi, Albert Montillo, Polina Golland, Kensaku Mori, Springer Verlag, 2012. 511-518.
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