CORONARY ARTERY DISEASE DETECTION USING CT ANGIOGRAPHY

Abstract

There is an ever-increasing interest in the development of automatic medical diagnosis systems due to the advancement in computing technology and also to improve the service by medical community. The knowledge about health and disease is required for reliable and accurate medical diagnosis. Digital information is acquired at different scales, quickly and efficiently by means of image processing techniques. So the algorithms can be developed for computer-aided medical diagnosis based on image processing technology. In this thesis, a design and algorithm of coronary artery disease detection system using computed tomography angiography images for the screening of coronary artery disease is proposed. The thesis proposes algorithms for image preprocessing, noise removal and area calculation and evaluation to detect coronary artery disease. The developed method is tested on different available databases i.e. collected from two hospitals. Three parameters are used to check the validity of proposed algorithms i.e. visual inspection, accuracy, and calculation time. The proposed method for coronary artery disease detection achieves an average accuracy of 83.8%.