A Review of Blood Vessel Segmentation Techniques

Due to the increasing demand for competent vessel segmentation techniques, it is important to review some of the available blood vessel segmentation techniques. This paper presents a survey of state-of-art vessel segmentation techniques. In this paper, blood vessel segmentation techniques are categorized into three classes. These are; model based segmentation approaches, tracking based segmentation approaches and pattern recognition approaches. The three categories identified are never independent. Some of the methods are combined with others to aid segmentation. A contextual analysis is done exploring techniques in-terms of strengths and weaknesses. The summary highlights research gaps that need attention.