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International Journal of Biomedical Imaging
Volume 2009 (2009), Article ID 983794, 8 pages
http://dx.doi.org/10.1155/2009/983794
Research Article

Segmentation of Myocardial Boundaries in Tagged Cardiac MRI Using Active Contours: A Gradient-Based Approach Integrating Texture Analysis

1Equipe Traitement de l'Information et Système (ETIS), UMR CNRS 8051, 6 avenue du Ponceau, F-95000 Cergy, France
2Applied Digital Signal and Image Processing Research Centre (ADSIP), University of Central Lancashire, Preston PR1 2HE, UK

Received 3 February 2009; Accepted 24 March 2009

Academic Editor: Jie Tian

Copyright © 2009 Aymeric Histace et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The noninvasive assessment of cardiac function is of first importance for the diagnosis of cardiovascular diseases. Among all medical scanners only a few enables radiologists to evaluate the local cardiac motion. Tagged cardiac MRI is one of them. This protocol generates on Short-Axis (SA) sequences a dark grid which is deformed in accordance with the cardiac motion. Tracking the grid allows specialists a local estimation of cardiac geometrical parameters within myocardium. The work described in this paper aims to automate the myocardial contours detection in order to optimize the detection and the tracking of the grid of tags within myocardium. The method we have developed for endocardial and epicardial contours detection is based on the use of texture analysis and active contours models. Texture analysis allows us to define energy maps more efficient than those usually used in active contours methods where attractor is often based on gradient and which were useless in our case of study, for quality of tagged cardiac MRI is very poor.