Quantitative depth analysis of optic nerve head using stereo retinal fundus image pair

被引:38
作者
Nakagawa, Toshiaki [1 ]
Suzuki, Takayoshi [2 ]
Hayashi, Yoshinori [3 ]
Mizukusa, Yutaka [4 ]
Hatanaka, Yuji [5 ]
Ishida, Kyoko [1 ]
Hara, Takeshi [1 ]
Fujita, Hiroshi [1 ]
Yamamoto, Tetsuya [1 ]
机构
[1] Gifu Univ, Grad Sch Med, Gifu 5011194, Japan
[2] Kowa Co Ltd, Kitu Ku, Shizuoka 4312103, Japan
[3] TAK Co Ltd, Gifu 5030803, Japan
[4] Kowa Co Ltd, Tokyo 1820021, Japan
[5] Univ Shiga Prefecture, Shiga 5228533, Japan
关键词
retinal fundus image; stereo image; depth measurement; optic nerve head; glaucoma;
D O I
10.1117/1.3041711
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Depth analysis of the optic nerve head (ONH) in the retinal fundus is important for the early detection of glaucoma. In this study, we investigate an automatic reconstruction method for the quantitative depth measurement of the ONH from a stereo retinal fundus image pair. We propose a technique to obtain the depth value from the stereo retinal fundus image pair, which mainly consists of five steps: 1. cutout of the ONH region from the stereo retinal fundus image pair, 2. registration of the stereo image pair, 3. disparity measurement, 4. noise reduction, and 5. quantitative depth calculation. Depth measurements of 12 normal eyes are performed using the stereo fundus camera and the Heidelberg Retina Tomograph (HRT), which is a confocal laser-scanning microscope. The depth values of the ONH obtained from the stereo retinal fundus image pair were in good accordance with the value obtained using HRT (r=0.80 +/- 0.15). These results indicate that our proposed method could be a useful and easy-to-handle tool for assessing the cup depth of the ONH in routine diagnosis as well as in glaucoma screening. (c) 2008 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3041711]
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Cost-effective instrumentation for quantitative depth measurement of optic nerve head using stereo fundus image pair and image cross correlation techniques
    Vieira de Carvalho, Luis Alberto
    Carvalho, Valeria
    OPHTHALMIC TECHNOLOGIES XXIV, 2014, 8930
  • [2] Comparison of the depth of an optic nerve head obtained using stereo retinal images and HRT
    Nakagawa, Toshiaki
    Hayashi, Yoshinori
    Hatanaka, Yuji
    Aoyama, Akira
    Hara, Takeshi
    Kakogawa, Masakatsu
    Fujita, Hiroshi
    Yamamoto, Tetsuya
    MEDICAL IMAGING 2007: PHYSIOLOGY, FUNCTION, AND STRUCTURE FROM MEDICAL IMAGES, 2007, 6511
  • [3] Automated Localization of Optic Nerve Head in a Fundus Image using Computer Vision Techniques
    Issac, Ashish
    Soorya, M.
    Dutta, Malay Kishore
    2017 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN COMPUTING AND COMMUNICATION TECHNOLOGIES (ICETCCT), 2017, : 72 - 77
  • [4] Determination of cup and disc ratio of optical nerve head for diagnosis of glaucoma on stereo retinal fundus image pairs
    Muramatsu, Chisako
    Nakagawa, Toshiaki
    Sawada, Akira
    Hatanaka, Yuji
    Hara, Takeshi
    Yamamoto, Tetsuya
    Fujita, Hiroshi
    MEDICAL IMAGING 2009: COMPUTER-AIDED DIAGNOSIS, 2009, 7260
  • [5] ODFormer: Semantic fundus image segmentation using Transformer for optic nerve head detection
    Wang, Jiayi
    Mao, Yi-An
    Ma, Xiaoyu
    Guo, Sicen
    Shao, Yuting
    Lv, Xiao
    Han, Wenting
    Christopher, Mark
    Zangwill, Linda M.
    Bi, Yanlong
    Fan, Rui
    INFORMATION FUSION, 2024, 112
  • [6] Optimal segmentation of the optic nerve head from stereo retinal images
    Merickel, Michael B., Jr.
    Wu, Xiaodong
    Sonka, Milan
    Abramoff, Michael
    MEDICAL IMAGING 2006: PHYSIOLOGY, FUNCTION, AND STRUCTURE FROM MEDICAL IMAGES PTS 1 AND 2, 2006, 6143
  • [7] Early detection of glaucoma using fully automated disparity analysis of optic nerve head (ONH) from stereo fundus images
    Sharma, Archie
    Corona, Enrique
    Mitra, Sunanda
    Nutter, Brian S.
    MEDICAL IMAGING 2006: IMAGE PROCESSING, PTS 1-3, 2006, 6144
  • [8] 3D reconstruction of the optic nerve head using stereo fundus images for computer-aided diagnosis of glaucoma
    Tang, Li
    Kwon, Young H.
    Alward, Wallace L. M.
    Greenlee, Emily C.
    Lee, Kyungmoo
    Garvin, Mona K.
    Abramoff, Michael D.
    MEDICAL IMAGING 2010: COMPUTER - AIDED DIAGNOSIS, 2010, 7624
  • [9] Optic cup segmentation of stereo retinal fundus images using virtual reality
    Arnay, Rafael
    Hernandez-Aceituno, Javier
    Diaz-Aleman, Tinguaro
    Sigut, Jose
    Alayon, Silvia
    Fumero, Francisco
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (04) : 9669 - 9683
  • [10] Applying a Set of Gabor Filter to 2D-Retinal Fundus Image to Detect the Optic Nerve Head (ONH)
    Belgacem, Rached
    Trabelsi, Hedi
    Malek, Ines
    Jabri, Imed
    ANNALS OF MEDICAL AND HEALTH SCIENCES RESEARCH, 2018, 8 : 48 - 58