title: A retinal vessel boundary tracking method based on Bayesian theory and multi-scale line detection.
abstract: A retinal vessel tracking method based on Bayesian theory and multi-scale line detection is proposed in this paper. The optic disk is located by a PCA method and the initial points of tracking are identified. In each step, candidate points for vessel edges are selected on a semi-ellipse. Three types of vessel structure are considered in the tracking: normal vessel, branching, and crossing. To determine the new pair of edge points, the characteristics of the vessel intensity profiles along both the cross section and the longitudinal direction are considered in the tracking. A Gaussian model is assumed in the cross section and multi-scale line detection is employed in the longitudinal direction. The advantage of the proposed method is that two dimensional vessel information is employed, which makes it work better than methods using one dimensional information only. Our method is tested on the REVIEW database and a comparison study is performed. Experimental results show that the proposed method is precise and robust in tracking vessel edges.
authors: Beijing Institute of Technology, Beijing, China. Electronic address: splendid0417@126.com.
authors: Jia
authors: J
authors: Zhang
authors: Beijing Institute of Technology, Beijing, China. Electronic address: huiqili@bit.edu.cn.
authors: Huiqi
authors: H
authors: Li
authors: Beijing Institute of Technology, Beijing, China. Electronic address: qingnie@bit.edu.cn.
authors: Qing
authors: Q
authors: Nie
authors: Bioinformatics Institute, A*STAR, Singapore. Electronic address: chengli@bii.a-star.edu.sg.
authors: Li
authors: L
authors: Cheng
mesh_terms: D001499:Bayes Theorem; D005654:Fundus Oculi; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D012171:Retinal Vessels / Q000033:anatomy & histology* / Q000473:pathology; D041623:Tomography, Optical Coherence
keywords: Bayesian theory; Multi-scale line detection; Retinal image; Vessel tracking