title: Optic disc and cup segmentation from color fundus photograph using graph cut with priors.
abstract: For automatic segmentation of optic disc and cup from color fundus photograph, we describe a fairly general energy function that can naturally fit into a global optimization framework with graph cut. Distinguished from most previous work, our energy function includes priors on the shape & location of disc & cup, the rim thickness and the geometric interaction of "disc contains cup". These priors together with the effective optimization of graph cut enable our algorithm to generate reliable and robust solutions. Our approach is able to outperform several state-of-the-art segmentation methods, as shown by a set of experimental comparisons with manual delineations and a series of results of correlations with the assessments of a merchant-provided software from Optical Coherence Tomography (OCT) regarding several cup and disc parameters.
authors.affiliation: Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
authors.forename: Yuanjie
authors.initials: Y
authors.lastname: Zheng
authors.affiliation: Department of Ophthalmology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
authors.forename: Dwight
authors.initials: D
authors.lastname: Stambolian
authors.affiliation: Department of Ophthalmology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
authors.forename: Joan
authors.initials: J
authors.lastname: O'Brien
authors.affiliation: Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
authors.forename: James C
authors.initials: JC
authors.lastname: Gee
mesh_terms: D000465:Algorithms; D003116:Color; D003124:Colorimetry / Q000379:methods*; D005901:Glaucoma / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D009898:Optic Disk / Q000033:anatomy & histology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D042262:Retinoscopy / Q000379:methods*; D012680:Sensitivity and Specificity; D012984:Software; D013382:Subtraction Technique; D041623:Tomography, Optical Coherence / Q000379:methods*