Automatic segmentation of left ventricular myocardium tissue in series of full short axis MRI

We proposed a new method for computer-based segmentation of myocardium tissue of left ventricular in series of full short axis MRI. First we locate the cardiac region in full short axis MRI data and then left ventricular cavity is searched and segmented in that region. Using this new approach, great result has been obtained in determination of left ventricular cavity. After finding the left ventricular cavity, the myocardium tissue is separated from other parts using a dilating circle starting from the left ventricular cavity. Separating myocardium tissue in short axis MRI data may lead to a very good analytic tool for interpretation of heart problems and analyzing left ventricular. In addition to preciseness, the proposed method is fully adaptive and has no dependence on a particular image. Beside it is deploys computational effective algorithm which results in an easy and direct implementation using a simple DSP hardware.