Development of three-dimensionally measuring instrument of ocular fundus

眼底三维测量仪的研制

• 批准号: 04452105
• 负责人: YOSHIMURA Takeaki
• 金额: $ 3.58万
• 依托单位: Kobe University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (B)
• 财政年份: 1992
• 资助国家: 日本
• 起止时间: 1992 至 1993
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-04452105/
• 关键词: 3-D Measurement of Ocular Fundus; Diagnosis of Glaucoma; Grating Projection Method; C; D Ratio and Rim Width; Visual Field Defects; Neural Network; ニューラルネットワーク; 乳頭陥凹; 眼底カメラ

In order to achieve clinical diagnosis of glaucomatous eyes at early stage, new developments of the three dimensionally measuring ocular fundus camera and the data processing system of images obtained by a pattern projected method have been done in this reserch project. The results are shown as follows :1. The improvements of the comercial ocular fundus camera (Kowa, type fx-50c) have achieved to take grating images of high contrast, even if its system is applied to any patients.2. Developments of the image processing system have achieved to analyze automatically the contour map of an optic nerve head. Consequently, the standard deviation of the excavation depth was obtained within 15%.3. By analysing two parameters of the cup-disc area ratio (C/D ratio) and the average depth of the cup area, it is found that the amount deduced from the two parameters does not depends on the different patients and can estimeate the grade of the glaucoma.4. The narrowing of the rim width strongly depends on the field defects at the corresponding direction.5. The neural network is possible to do the resulting estimation of 10 parameters, which is the rim widths at the 8 directions, the average depth and the C/D ratio. The results can estimate the glaucomatous eye at early stage without visual field defects.

为了实现青光眼的早期临床诊断，本课题研制了三维测量眼底照相机和图形投影法图像数据处理系统。研究结果如下：1.商业眼底照相机（Kowa，fx-50 c型）的改进已经实现了拍摄高对比度的光栅图像，即使其系统应用于任何患者。图像处理系统的发展已经实现了对视神经乳头轮廓图的自动分析。因此，开挖深度的标准偏差在15%以内.通过对杯盘面积比（C/D比）和杯区平均深度两个参数的分析，发现这两个参数所推算的量与不同的患者无关，可以用来估计肿瘤的分级.边缘宽度的变窄强烈地依赖于相应方向上的场缺陷。神经网络可以对8个方向的边缘宽度、平均深度和C/D比等10个参数进行估计。该结果可对无视野缺损的青光眼眼进行早期评估。

项目成果

T.Yoshimura, H.Nakatani and N.Suzuki: "Estimation of Glaucomatous Visual Field Defects from Optic Disc Excavation with a Neural Network" Japanese Journal of Visual Science. Vol.134, No.2. 76-81 (1993)

T.Yoshimura、H.Nakatani 和 N.Suzuki：“用神经网络估计视盘挖掘中的青光眼视野缺陷”日本视觉科学杂志。

中谷一: "緑内障における乳頭陥凹とGoldman視野" あたらしい眼科. 9. 801-806 (1992)

Hajime Nakatani：“青光眼中的乳头凹陷和 Goldman 视野”《新眼科学》9. 801-806 (1992)。

H.Nakatani, T.Yoshimura and N.Suzuki: "Relationship between Disc Cup Lines and Glaucomatous Visual Field" Journal of the Eye. Vol.9, No.5. 801-806 (1992)

H.Nakatani、T.Yoshimura 和 N.Suzuki：“视盘杯线与青光眼视野之间的关系”《眼科杂志》。

吉村武晃: "緑内障早期診断への格子投影法の応用開発" 病体生理. 11. 518-523 (1992)

Takeaki Yoshimura：“网格投影法在青光眼早期诊断中的应用进展”病理生理学 11. 518-523 (1992)。

吉村武晃: "ニューラルネットワークを利用した乳頭陥凹形状からの緑内障評価法" 視覚の科学. 14. 76-81 (1993)

Takeaki Yoshimura：“使用神经网络的基于乳头凹陷形状的青光眼评估方法”《视觉科学》14. 76-81 (1993)。