AbstractQuantitative evaluation of cardiac function from cardiac magnetic resonance (CMR) images requires the identification of the myocardial walls. This generally requires the clinician to view the image and interactively trace the contours. The myocardial wall of the left ventricle in CMR images, obtained from subjects having serious diseases, is obscure, henceforth, its detection is a tough task. In this paper, an approach to outlining the left ventricular contour is proposed. The utilization of a random walk approach is shown in order to extract the blood pool boundary or endocardium (the inner side of the left ventricular myocardial wall). Inaccurate segmentation is resulted, while applying the approach to ischemic CMR images, because this type of images bear multilabeled blood pool and the manual seed(s) selection in these images introduces variability in the results. In view of this, the paper presents two modifications in the algorithm: (1) automatic seed(s) selection and (2) introduction of Lapl...