Experimental comparison of vasculature segmentation methods

Vessel segmentation algorithms play a very important role in vascular disease diagnosis and prediction. Current vessel segmentation research uses mostly images of large vessels, which are relatively easy to extract, but segmenting microvasculature is more challenging and very important for analysing vascular disease such as Alzheimer's Diseases. The aim of this paper is to report experimental results of several common vessel image segmentation methods. Retinal vessel image database DRIVE is used for 2D experiments and a micro-CT image is used for 3D experiments.