title: Automatic segmentation and measurement of vasculature in retinal fundus images using probabilistic formulation.
abstract: The automatic analysis of retinal blood vessels plays an important role in the computer-aided diagnosis. In this paper, we introduce a probabilistic tracking-based method for automatic vessel segmentation in retinal images. We take into account vessel edge detection on the whole retinal image and handle different vessel structures. During the tracking process, a Bayesian method with maximum a posteriori (MAP) as criterion is used to detect vessel edge points. Experimental evaluations of the tracking algorithm are performed on real retinal images from three publicly available databases: STARE (Hoover et al., 2000), DRIVE (Staal et al., 2004), and REVIEW (Al-Diri et al., 2008 and 2009). We got high accuracy in vessel segmentation, width measurements, and vessel structure identification. The sensitivity and specificity on STARE are 0.7248 and 0.9666, respectively. On DRIVE, the sensitivity is 0.6522 and the specificity is up to 0.9710.
authors.affiliation: Institut Fresnel, Ecole Centrale de Marseille, Aix-Marseille Université, Domaine Universitaire de Saint-Jérôme, 13397 Marseille, France.
authors.forename: Yi
authors.initials: Y
authors.lastname: Yin
authors.affiliation: Institut Fresnel, Ecole Centrale de Marseille, Aix-Marseille Université, Domaine Universitaire de Saint-Jérôme, 13397 Marseille, France.
authors.forename: Mouloud
authors.initials: M
authors.lastname: Adel
authors.affiliation: Institut Fresnel, Ecole Centrale de Marseille, Aix-Marseille Université, Domaine Universitaire de Saint-Jérôme, 13397 Marseille, France.
authors.forename: Salah
authors.initials: S
authors.lastname: Bourennane
mesh_terms: D000465:Algorithms; D001331:Automation; D001499:Bayes Theorem; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted; D005654:Fundus Oculi; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016011:Normal Distribution; D011336:Probability; D015203:Reproducibility of Results; D012160:Retina / Q000473:pathology*; D012171:Retinal Vessels / Q000473:pathology*; D012680:Sensitivity and Specificity; D012984:Software