Statistical-based linear vessel structure detection in medical images

Linear structures such as blood vessels in medical images are important features for computer-aided diagnosis and follow-up of many diseases. In this letter a new tracking-based segmentation method is proposed to detect blood vessels in retinal angiorams. Bayesian segmentation with the maximum a posteriori (MAP) probability criterion is used for that purpose. First promising results are presented and discussed.