Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
504633 | Computerized Medical Imaging and Graphics | 2006 | 8 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
M. Lynch, O. Ghita, P.F. Whelan,