Analysis and Classification of Stenosis Severity from Coronary Angiogram Images

Currently angiogram is the golden standard methodology used for evaluating coronary artery disease (CAD). CAD helps the physician to assess percentage of stenosis or block in blood vessel. The density of the contrast agent that passes through blood is different along the blood vessel. So to calculate the density variation, a quantitative method is used. This helps to determine the percentage of stenosis. Frames of images are extracted from the angiogram and Region of Interest (ROI) are segmented from each frame. Length and diameter of segmented blood vessel is calculated. Neural network classifier is used for determining stenosis percentage based on statistical parameters. Also the dye density along the blood vessel is calculated using volume information. The severity of stenosis is determined based on the density of dye at different blood vessel segments.