Performance analysis of labeling technique for coronary arteries in angiogram images

The medical imaging analysis is the process to view and understand the internal structure and function of the physiological system in medical diagnostic and therapeutic applications. Coronary artery angiography is playing a decisive role to determine the presence of cardiac diseases and the consequences for a therapeutic approach. So, the coronary angiography is remained for determining the extent, location and severity of the cardiac diseases. Automatically segmenting the coronary arteries in X-ray angiogram images has been an active area of research over the past several years and is an important task in medical imaging. Here mathematical morphological operations are used for segmenting the arteries. This method was implemented for a variety of clinical images. The results indicate the feasibility of achieving robust and consistently accurate image segmentation through this method.