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%.
