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Review on Various Approaches for Extraction of Blood Vessel and its Components from Angiogram Images

The Blood vessel consists of many components like blood capillaries, arteries, veins, arterioles. Components of blood vessels are connected with different tissues. Visualization of components of blood vessels from angiogram images is necessary for medical diagnosis and medical research purposes. But due to variation in contrast at different parts of blood vessels, noise found in background of vessels, crossing and overlapping of blood vessels in angiogram images causes difficulty for vessel extraction. To handle these difficulties during vessel extraction proper image processing operations needed to be performed like image masking, filters, image blur, apply of threshold methods and various morphological operations are necessary to remove those noise, extract structure of vessels from angiogram images later visualization of reconstructed image after processing unprocessed image is necessary for performing medical research on blood vessels and its components. This paper is reviewing on different approaches used for vessel extraction, its features and demerits in every approaches with respect to vessel enhancement and vessel segmentation.