Modified random walk approach for left ventricular contour extraction from cardiac MR images

From a proper diagnosis point of view, an accurate and fast image segmentation algorithms are of paramount importance prior to the calculation of the diagnostic parameters. A precise method for segmenting the cardiac magnetic resonance (CMR) images is always desired to increase the accuracy. We prefer random walk method, as it is robust to noise and does not require any pre-knowledge about the input image, on which the segmentation is to be performed. This paper suggests a new approach towards CMR image segmentation using modified random walk approach which improves the over-all performance of the fixed random walk approach. The average number of steps and computational time in this method are much less than that of a fixed random walk with better segmentation results.