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Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography
2008
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filtering, it relies on a constrained, medial-based geometric model and on an original sampling scheme for the selection of tracking hypotheses. A key property of this new sampling scheme is the ability to take into account a distribution of hypotheses broader than similar methods such as classical particle filters, while
doi:10.1109/isbi.2008.4540984
dblp:conf/isbi/LesageABF08
fatcat:luymqiu62rbdjhu6tzuyw4kuxa