An automatic branch and stenoses detection in computed tomography angiography

Çetin, Süheyla and Ünal, Gözde and Değertekin, Muzaffer (2012) An automatic branch and stenoses detection in computed tomography angiography. In: 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012), Barcelona, Spain

[thumbnail of an_automatic_branch_and_stenoses_detection_in_computed_tomography_angiography.2065.pdf] PDF
an_automatic_branch_and_stenoses_detection_in_computed_tomography_angiography.2065.pdf

Download (576kB)

Abstract

In this work, we present an automatic branch and stenoses de- tection method that is capable of detecting all types of plaques in Computed Tomography Angiography (CTA) modality. Our method is based on the vessel extraction algorithm we pro- posed in [1], and detects branches and stenoses in a very fast way. We demonstrate the performance of our branch detection method on 3 complex tubular structured synthetic datasets for quantitative validation. Additionally, we show the preliminary results of stenoses detection algorithm on 11 CTA volumes, which are qualitatively evaluated by a cardiol- ogist expert.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: CTA , branch detection , coronary arteries , segmentation , stenosis detection , tubular structures , vessel trees
Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Gözde Ünal
Date Deposited: 24 Oct 2012 14:21
Last Modified: 26 Apr 2022 09:07
URI: https://research.sabanciuniv.edu/id/eprint/19852

Actions (login required)

View Item
View Item