Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods

Authors:
Chisako Muramatsu;Toshiaki Nakagawa;Akira Sawada;Yuji Hatanaka;Takeshi Hara;Tetsuya Yamamoto;Hiroshi Fujita
Affiliations:
Department of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan;Research & Development Section, Electronics & Optics Division, Kowa Company, Ltd., Hamamatsu Factory, 1-3-1 Shin-Miyakoda, Kita-ku, Hamamatsu-shi, Shizuoka 431-2103, Japan;Department of Ophthalmology, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan;Department of Electronic Systems Engineering, School of Engineering, The University of Shiga Prefecture, 2500 Hassakacho, Hikone, Shiga 522-8533, Japan;Department of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan;Department of Ophthalmology, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan;Department of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
Venue:
Computer Methods and Programs in Biomedicine
Year:
2011

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Abstract

The automatic determination of the optic disc area in retinal fundus images can be useful for calculation of the cup-to-disc (CD) ratio in the glaucoma screening. We compared three different methods that employed active contour model (ACM), fuzzy c-mean (FCM) clustering, and artificial neural network (ANN) for the segmentation of the optic disc regions. The results of these methods were evaluated using new databases that included the images captured by different camera systems. The average measures of overlap between the disc regions determined by an ophthalmologist and by using the ACM (0.88 and 0.87 for two test datasets) and ANN (0.88 and 0.89) methods were slightly higher than that by using FCM (0.86 and 0.86) method. These results on the unknown datasets were comparable with those of the resubstitution test; this indicates the generalizability of these methods. The differences in the vertical diameters, which are often used for CD ratio calculation, determined by the proposed methods and based on the ophthalmologist's outlines were even smaller than those in the case of the measure of overlap. The proposed methods can be useful for automatic determination of CD ratios.