title: Segmentation of cardiac cine-MR images and myocardial deformation assessment using level set methods.
abstract: In this paper, we present an original method to assess the deformations of the left ventricular myocardium on cardiac cine-MRI. First, a segmentation process, based on a level set method is directly applied on a 2D + t dataset to detect endocardial contours. Second, the successive segmented contours are matched using a procedure of global alignment, followed by a morphing process based on a level set approach. Finally, local measurements of myocardial deformations are derived from the previously determined matched contours. The validation step is realized by comparing our results to the measurements achieved on the same patients by an expert using the semi-automated HARP reference method on tagged MR images.
authors.affiliation: Laboratoire Images, Signaux et Systèmes Intelligents (LISSI) Université Paris XII-Val de Marne 61, avenue du Général de Gaulle, 94010 Créteil cedex, France. chenoune@univ-paris12.fr
authors.forename: Y
authors.initials: Y
authors.lastname: Chenoune
authors.forename: E
authors.initials: E
authors.lastname: Deléchelle
authors.forename: E
authors.initials: E
authors.lastname: Petit
authors.forename: T
authors.initials: T
authors.lastname: Goissen
authors.forename: J
authors.initials: J
authors.lastname: Garot
authors.forename: A
authors.initials: A
authors.lastname: Rahmouni
mesh_terms: D000465:Algorithms; D005602:France; D006330:Heart Defects, Congenital / Q000175:diagnosis*; D006352:Heart Ventricles / Q000002:abnormalities; D006801:Humans; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D009206:Myocardium