Automatic Vascular Segmentation on Angio Images

Abstract

Cardiovascular disease is one of today's major health problems. These diseases are the result of constriction or blockage of coronary vessels feeding heart. Diagnosis of Cardiovascular contraction is determined visually by physicians with angio imaging method. Visually defined vascular diseases may give subjective results. Vessel constrictions in angiograms are automatically determined by vascular segmentation to help physicians diagnose cardiovascular stenosis and to minimize subjective results. In present study, adaptive thresholding method and frangi filter were applied to the pre-processed angiogram images. After this application, the noise cleaning method on the determined cardiovascular image was performed and the vein structure was detected with high accuracy rate and low calculation time.