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
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.
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