Effect of β in random walk approach for LV contour extraction

In today´s world, increasing life expectation have made the heart failures of important concern. For clinical diagnosis, parameters for the condition of heart are needed. Accurate and fast image segmentation algorithms are of paramount importance prior to the calculation of these parameters. An automatic method for segmenting the cardiac magnetic resonance (CMR) images is always desired to increase the accuracy. We prefer random walk method due to its noise robustness and unconditional approach over other segmentation algorithms. Performance of the method solely depends on the selection of the free parameter ß, which uses to be decided manually. The accuracy of the output significantly depends on this parameter. In this work, we present a method to decide its value automatically enhancing the accuracy of the performance.