The paper collects seven methods applicable in the task of 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 artefacts, i.e., without false detections of stenoses and without false omitting of any stenotic part. The methods described have been collected by a literature review focused on the vessel segmentation.