AN INTERACTIVE SYSTEM FOR SEGMENTATION OF ROI IN SCINTIGRAPHY IMAGING

Cardiovascular diseases are increasing day by day and can cause death in severe conditions. Scintigraphic images are useful in identification of cardiovascular diseases which mainly involves the identification of left and right ventricle. For segmenting right and left ventricle, we proposed an interactive variable system, in which user can perform the operations and can visualize the changes in display. Proposed system works in four parts, which involves preprocessing, edge detection, iteration process, and segmenting the region of interest. Contours are used in preprocessing because there are a few images of scintigraphy that are monochrome, otherwise all the images are in the form of contours. In edge detection, four kinds of detection operators are used namely canny, sobel, prewitt and robert operator. An active contour region based, i.e., chan-vese model is used in iteration process, and thresholding and sigma operators are of major concern in identifying the region of interest from the cardiac images. The proposed system is tested on 1500 images of SCD database and improvement in results can be seen visually in the GUI made in MATLAB 2016b.