NDLI: Improved automated optic cup segmentation based on detection of blood vessel bends in retinal fundus images

Content Provider	IEEE Xplore Digital Library
Author	Hatanaka, Y. Nagahata, Y. Muramatsu, C. Okumura, S. Ogohara, K. Sawada, A. Ishida, K. Yamamoto, T. Fujita, H.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. Syst. Eng., Univ. of Shiga Prefecture, Hikone, Japan (Hatanaka, Y.; Okumura, S.; Ogohara, K.) \|\| Grad. Sch. of Eng., Univ. of Shiga Prefecture, Hikone, Japan (Nagahata, Y.) \|\| Dept. of Intell. Image Inf., Gifu Univ., Gifu, Japan (Muramatsu, C.; Fujita, H.) \|\| Dept. of Ophthalmology, Gifu Univ., Gifu, Japan (Sawada, A.; Yamamoto, T.) \|\| Dept. of Ophthalmology, Toho Univ., Tokyo, Japan (Ishida, K.)
Abstract	Glaucoma is a leading cause of permanent blindness. Retinal imaging is useful for early detection of glaucoma. In order to evaluate the presence of glaucoma, ophthalmologists may determine the cup and disc areas and diagnose glaucoma using a vertical optic cup-to-disc (C/D) ratio and a rim-to-disc (R/D) ratio. Previously we proposed a method to determine cup edge by analyzing a vertical profile of pixel values, but this method provided a cup edge smaller than that of an ophthalmologist. This paper describes an improved method using the locations of the blood vessel bends. The blood vessels were detected by a concentration feature determined from the density gradient. The blood vessel bends were detected by tracking the blood vessels from the disc edge to the primary cup edge, which was determined by our previous method. Lastly, the vertical C/D ratio and the R/D ratio were calculated. Using forty-four images, including 32 glaucoma images, the AUCs of both the vertical C/D ratio and R/D ratio by this proposed method were 0.966 and 0.936, respectively.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	126
Ending Page	129
File Size	813065
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943545
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical imaging Retina Blood vessels Biomedical optical imaging Image segmentation Image edge detection
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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