Precise Lumen Segmentation in Coronary Computed Tomography Angiography

Lugauer F, Zheng Y, Hornegger J, Kelm BM (2014)

Publication Type: Conference contribution, Original article

Publication year: 2014

Publisher: Springer International Publishing

Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Series: Lecture Notes in Computer Science

City/Town: Cambridge, MA, USA

Pages Range: 137-147

Conference Proceedings Title: Medical Computer Vision: Algorithms for Big Data

Event location: Cambridge, MA, USA

ISBN: 978-3-319-13971-5

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Lugauer14-PLS.pdf

DOI: 10.1007/978-3-319-13972-2_13

Abstract

Coronary computed tomography angiography (CCTA) allows for non-invasive identification and grading of stenoses by evaluating the degree of narrowing of the blood-filled vessel lumen. Recently, methods have been proposed that simulate coronary blood flow using computational fluid dynamics (CFD) to compute the fractional flow reserve non-invasively. Both grading and CFD rely on a precise segmentation of the vessel lumen from CCTA.We propose a novel, model-guided segmentation approach based on a Markov random field formulation with convex priors which assures the preservation of the tubular structure of the coronary lumen. Allowing for various robust smoothness terms, the approach yields very accurate lumen segmentations even in the presence of calcified and non-calcified plaques. Evaluations on the public Rotterdam segmentation challenge demonstrate the robustness and accuracy of our method: on standardized tests with multi-vendor CCTA from 30 symptomatic patients, we achieve superior accuracies as compared to both state-of-the-art methods and medical experts.

Authors with CRIS profile

Felix Lugauer Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Involved external institutions

Siemens AG, Sector Corporate Technology DE Germany (DE) Siemens Corporate Research US United States (USA) (US)

How to cite

APA:

Lugauer, F., Zheng, Y., Hornegger, J., & Kelm, B.M. (2014). Precise Lumen Segmentation in Coronary Computed Tomography Angiography. In Medical Computer Vision: Algorithms for Big Data (pp. 137-147). Cambridge, MA, USA: Cambridge, MA, USA: Springer International Publishing.

MLA:

Lugauer, Felix, et al. "Precise Lumen Segmentation in Coronary Computed Tomography Angiography." Proceedings of the International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA Cambridge, MA, USA: Springer International Publishing, 2014. 137-147.

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