A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences
The segmentation and tracking of coronary arteries (CAs) are critical steps for the computation of biophysical measurements in pediatric interventional cardiology. In the literature, most methods are focused on either segmenting the vessel lumen or on tracking the vessel centerline. However, they do not simultaneously combine the segmentation and tracking of a specific CA. This paper introduces a novel algorithm for CA segmentation and tracking from 2D X-ray angiography sequences. The proposed algorithm is based on the Temporal Vessel Walker (TVW) segmentation method, which combines graph-based formulation and temporal priors.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Faten M'hiri, Luc Duong, Christian Desrosiers, Mohamed Leye, Joaquim Mir รณ, Mohamed Cheriet Source Type: research