摘要：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.
