A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Automatic initialization algorithm for carotid artery segmentation in CTA images
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Automatic segmentation of the aortic dissection membrane from 3d CTA images
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
Blood vessel segmentation methodologies in retinal images - A survey
Computer Methods and Programs in Biomedicine
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In this paper, we describe the results of the literature re-viewfocused on the peripheral vessel segmentation in 3Dmedical datasets, acquired by Computer tomography angiography(CTA) of the human leg.The fundamental aim of such a segmentation task is arobust method for the detection of main vessels in the legthat simultaneously preserves the vessel calcification (thesediment is called plaque) and allows localization of vesselnarrowings (called stenoses). This segmentation has to befree from artifacts, i.e., without false detections of stenosesand without false omitting of any stenotic part. The papercollects seven methods applicable for vessel segmentation.