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
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Official URL: http://dx.doi.org/10.1109/ISBI.2012.6235615
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 |
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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 |