A Novel Approach of Fuzzy Logic Based Edge Detection for Coronary Angiogram Using Virtual Instrumentation

ABSTRACT Arteriosclerosis is a coronary artery disease (CAD) that is caused due to the deposition of plaque in the walls of arteries by which the arteries narrows down (stenosis) and the blood flow gets restricted. Computed Topographic angiography (CTA) has been used in clinical diagnosis and it is very difficult to visualize the blood vessels and the stenosis due to the presence of bones and tissues. This paper proposes an approach of fuzzy logic based edge detection to detect the edges of the coronary artery. The proposed method is compared with Roberts, Prewitt, Sobel and canny edge operators and the simulation results reveals that the proposed method gives better edges than the other method. The analysis of the proposed method has been evaluated on various CT angiography images qualitatively using Laboratory virtual instrument engineering workbench (Lab VIEW) software environment.