Vessel tracking in peripheral CTA datasets-an overview

Abstract

We describe the results of the literature review focused on the peripheral vessel segmentation in 3D medical datasets, acquired by computer tomography angiography (CTA) of the human leg. The fundamental aim of such a segmentation task is a robust method for the detection of main vessels in the leg that simultaneously preserves the vessel calcification (the sediment is called plaque) and allows localization of vessel narrowings (called stenoses). This segmentation has to be free from artifacts, i.e., without false detections of stenoses and without false omitting of any stenotic part. The paper collects seven methods applicable for vessel segmentation.