title: A self-adaptive distance regularized level set evolution method for optical disk segmentation.
abstract: The optic disc (OD) is one of the important anatomic structures on the retina, the changes of which shape and area may indicate disease processes, thus needs computerized quantification assistance. In this study, we proposed a self-adaptive distance regularized level set evolution method for OD segmentation without the periodically re-initializing steps in the level set function execution to a signed distance function during the evolution. In that framework, preprocessing of an image was performed using Fourier correlation coefficient filtering to obtain initial boundary as the beginning contour, then, an accurate boundary of the optic disc was obtained using the self-adaptive distance regularized level set evolution method. One hundred eye fundus color numerical images from public database were selected to validate our algorithm. Therefore, we believe that such automatic OD segmentation method could assist the ophthalmologist to segment OD more efficiently, which is of significance for future computer-aided early detection of glaucoma and retinopathy diseases.
authors.affiliation: Department of Medical Informatics, Medical School of Nantong University, Jiangsu 226001, China Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Fudan University, Shanghai 200032, China.
authors.forename: Huiqun
authors.initials: H
authors.lastname: Wu
authors.affiliation: Department of Medical Informatics, Medical School of Nantong University, Jiangsu 226001, China.
authors.forename: Xingyun
authors.initials: X
authors.lastname: Geng
authors.affiliation: Department of Medical Informatics, Medical School of Nantong University, Jiangsu 226001, China.
authors.forename: Xiaofeng
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Department of Medical Informatics, Medical School of Nantong University, Jiangsu 226001, China.
authors.forename: Mingyan
authors.initials: M
authors.lastname: Qiu
authors.affiliation: Department of Medical Informatics, Medical School of Nantong University, Jiangsu 226001, China.
authors.forename: Kui
authors.initials: K
authors.lastname: Jiang
authors.affiliation: Department of Medical Image Engineering, Medical School of Nantong University, Jiangsu 226001,China.
authors.forename: Lemin
authors.initials: L
authors.lastname: Tang
authors.affiliation: Department of Medical Informatics, Medical School of Nantong University, Jiangsu 226001, China.
authors.forename: Jiancheng
authors.initials: J
authors.lastname: Dong
mesh_terms: D000465:Algorithms; D005583:Fourier Analysis; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009898:Optic Disk / Q000166:cytology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D042262:Retinoscopy / Q000379:methods*; D012680:Sensitivity and Specificity
keywords: Optic disk; imaging informatics; level set evolution; retinal imaging