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Left-ventricle myocardium segmentation using a coupled level-set with a priori knowledge

โœ Scribed by M. Lynch; O. Ghita; P.F. Whelan


Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
476 KB
Volume
30
Category
Article
ISSN
0895-6111

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โœฆ Synopsis


This paper presents a coupled level-set segmentation of the myocardium of the left ventricle of the heart using a priori information. From a fast marching initialisation, two fronts representing the endocardium and epicardium boundaries of the left ventricle are evolved as the zero level-set of a higher dimension function. We introduce a novel and robust stopping term using both gradient and region-based information. The segmentation is supervised both with a coupling function and using a probabilistic model built from training instances. The robustness of the segmentation scheme is evaluated by performing a segmentation on four unseen data-sets containing high variation and the performance of the segmentation is quantitatively assessed.


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## Abstract A novel numerical scheme is developed by coupling the level set method with the adaptive mesh refinement in order to analyse moving interfaces economically and accurately. The finite element method (FEM) is used to discretize the governing equations with the generalized simplified marke