Review of Image Processing Techniques to Diagnose Coronary Artery Disease
Keywords:
Coronary Artery Diseases, Image processing, cuckoo algorithm, Hassian metrics, fuzzy c-mean clustering, Receiver Operating Characteristic, Area Under the CurveAbstract
Coronary Artery Disease (CAD) is one of the emerging causes of death all over the world , stenosis is a condition related to the narrowing of a vessel or artery. Medical images processing have become increasingly used within the framework of medical care from the diagnose to treatment. As known the segmentation and accuracy of the algorithm lead to successful diagnoses of the images. This paper concerned with detection of Coronary Artery stenosis by proposing three different image processing algorithms, Cuckoo’s algorithm , Hassian based Frangi Vesselness Filter and Fuzzy C-mean clustering algorithm. 15 patient images has been chosen to carry out the experimental study. Then the performance and the effectiveness of the three different methods evaluated and compared using Receiver operating characteristic chart based on the conditional probabilities sensitivity and specificity.
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