title: Left-ventricle myocardium segmentation using a coupled level-set with a priori knowledge.
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.
authors.affiliation: Vision Systems Group, Dublin City University, Dublin 9, Ireland. lynchm@eeng.dcu.ie
authors.forename: M
authors.initials: M
authors.lastname: Lynch
authors.forename: O
authors.initials: O
authors.lastname: Ghita
authors.forename: P F
authors.initials: PF
authors.lastname: Whelan
mesh_terms: D006352:Heart Ventricles / Q000033:anatomy & histology*; D006801:Humans; D021621:Imaging, Three-Dimensional; D011336:Probability