Conference contribution
(Original article)


Precise Lumen Segmentation in Coronary Computed Tomography Angiography


Publication Details
Author(s): Lugauer F, Zheng Y, Hornegger J, Kelm B
Title edited volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher: Springer International Publishing
Publishing place: Cambridge, MA, USA
Publication year: 2014
Title of series: Lecture Notes in Computer Science
Conference Proceedings Title: Medical Computer Vision: Algorithms for Big Data
Pages range: 137-147
ISBN: 978-3-319-13971-5
ISSN: 0302-9743

Event details
Event: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014
Event location: Cambridge, MA, USA
Start date of the event: 18/09/2014
End date of the event: 18/09/2014

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.



How to cite
APA: Lugauer, F., Zheng, Y., Hornegger, J., & Kelm, B. (2014). Precise Lumen Segmentation in Coronary Computed Tomography Angiography. In Medical Computer Vision: Algorithms for Big Data (pp. 137-147). 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.

BibTeX: Download
Share link
Last updated on 2017-03-28 at 02:53
PDF downloaded successfully