Abstract

The study of heart disease is important because of urgency of diagnosis. In the meantime, the discussion of image processing and diagnosis is important in medical angiography images, a quick diagnosis before surgery. All of these are for preventing delayin surgery. Therefore, in this study, diagnostic methods using cuckoo algorithm and medical engineering optimization methods is proposed. we presented an optimal bio inspired diagnostic model. The Coronary angiography using dedicated X-ray imaging systems has long been the preferred modality for diagnosis and treatment of Coronary Artery Disease (CAD) and its concomitants. Experimental results on several test images of patients with various techniques are presented. The results of our fast bio inspired diagnostic model performed well. Using bio-inspired algorithm as cuckoo optimization in order to edge detection including noise reduction has been done. the angiogram interpretation has been discussed with medical consultant.