The purpose of this study is to segment coronary arteries in cardiac multislice CT(MSCT) images by sub-dividing the region containing the coronary arteries into a series of small regions of interest(ROI) and analyzing the local shape and intensity feature.First,a Hessian-matrix-based local vessel enhancement(LVE) is performed to enhance the image contrast.Then,the enhanced vascular structures are segmented with an adaptive region growing(ARG) algorithm,which can adjust the threshold in every ROI accordingly...