Vessel tractography using an intensity based tensor model

Çetin, Süheyla and Ünal, Gözde and Demir, Ali and Yezzi, Anthony Joseph and Değertekin, Muzaffer (2011) Vessel tractography using an intensity based tensor model. In: MICCAI-CVII International Workshop on Computing and Visualization for (Intra)Vascular Imaging, Toronto, Canada

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In this paper, we propose a novel tubular structure segmen- tation method, which is based on an intensity-based tensor that fits to a vessel. Our model is initialized with a single seed point and it is ca- pable of capturing whole vessel tree by an automatic branch detection algorithm. The centerline of the vessel as well as its thickness is extracted. We demonstrated the performance of our algorithm on 3 complex contrast varying tubular structured synthetic datasets for quantitative validation. Additionally, extracted arteries from 10 CTA (Computed Tomography An- giography) volumes are qualitatively evaluated by a cardiologist expert’s visual scores.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: segmentation, CTA, tubular structures, branch detection, vessel trees, coronary arteries, tensor estimation, tractography, tensor
Subjects: Q Science > QA Mathematics > QA076 Computer software
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Gözde Ünal
Date Deposited: 05 Jan 2012 21:19
Last Modified: 26 Apr 2022 09:02

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