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首页> 外文期刊>Journal of biomedical optics >Automated determination of cup-to-disc ratio for classification of glaucomatous and normal eyes on stereo retinal fundus images
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Automated determination of cup-to-disc ratio for classification of glaucomatous and normal eyes on stereo retinal fundus images

机译：自动确定立体视眼底图像上青光眼和正常眼的杯盘比

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摘要

Early diagnosis of glaucoma, which is the second leading cause of blindness in the world, can halt or slow the progression of the disease. We propose an automated method for analyzing the optic disc and measuring the cup-to-disc ratio (CDR) on stereo retinal fundus images to improve ophthalmologists' diagnostic efficiency and potentially reduce the variation on the CDR measurement. The method was developed using 80 retinal fundus image pairs, including 25 glaucomatous, and 55 nonglaucomatous eyes, obtained at our institution. A disc region was segmented using the active contour method with the brightness and edge information. The segmentation of a cup region was performed using a depth map of the optic disc, which was reconstructed on the basis of the stereo disparity. The CDRs were measured and compared with those determined using the manual segmentation results by an expert ophthalmologist. The method was applied to a new database which consisted of 98 stereo image pairs including 60 and 30 pairs with and without signs of glaucoma, respectively. Using the CDRs, an area under the receiver operating characteristic curve of 0.90 was obtained for classification of the glaucomatous and nonglaucomatous eyes. The result indicates potential usefulness of the automated determination of CDRs for the diagnosis of glaucoma.
机译：青光眼的早期诊断是世界上第二个失明的主要原因，它可以阻止或减缓疾病的发展。我们提出了一种自动化的方法来分析视盘并测量立体视网膜眼底图像上的杯盘比（CDR），以提高眼科医生的诊断效率并潜在地减少CDR测量值的变化。该方法是使用我们机构获得的80对视网膜眼底图像对开发的，其中包括25眼青光眼和55眼非青光眼。使用主动轮廓法将光盘区域与亮度和边缘信息进行分割。使用视盘的深度图进行杯状区域的分割，该深度图是根据立体视差重建的。测量CDR，并将其与专业眼科医生使用手动分割结果确定的CDR进行比较。该方法被应用到一个新的数据库中，该数据库由98对立体图像组成，包括60对和30对有和没有青光眼迹象的立体图像。使用CDR，获得了接收器工作特性曲线下的0.90区域，用于对青光眼和非青光眼进行分类。结果表明自动确定CDR的潜力可用于诊断青光眼。

著录项

  • 来源
    《Journal of biomedical optics》 |2011年第9期|p.096009.1-096009.7|共7页
  • 作者

    Chisako Muramatsu; Toshiaki Nakagawa; Akira Sawada; Yuji Hatanaka; Tetsuya Yamamoto; Hiroshi Fujita;

  • 作者单位

    Gifu University, Graduate School of Medicine, Department of Intelligent Image Information 1-1 Yanagido,Gifu 501-1194, Japan;

    Kowa Company, Ltd., Electronics and Optics Division, Research & Development Section, Hamamatsu Factory,1-3-1 Shin-Miyakoda, Kita-ku, Hamamatsu-shi, Shizuoka 431-2103, Japan;

    Gifu Universtiy, Graduate School of Medicine, Department of Ophthalmology, 1 -1 Yanagido, Gifu 501-1194, Japan;

    University of Shiga Prefecture, School of Engineering, Department of Electronic System Engineering,2500 Hassakacho, Hikone, Shiga 522-8533, Japan;

    Gifu Universtiy, Graduate School of Medicine, Department of Ophthalmology, 1 -1 Yanagido, Gifu 501-1194, Japan;

    Gifu University, Graduate School of Medicine, Department of Intelligent Image Information 1-1 Yanagido,Gifu 501-1194, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    stereo retinal fundus images; glaucoma; cup-to-disc ratio; computer-aided diagnosis;

    机译：立体视网膜眼底图像;青光眼;杯碟比;计算机辅助诊断;

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