Automated determination of cup-to-disc ratio for classification of glaucomatous and normal eyes on stereo retinal fundus images

  • Muramatsu C
  • Nakagawa T
  • Sawada A
  • et al.
30Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

Abstract

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. © 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

Cite

CITATION STYLE

APA

Muramatsu, C., Nakagawa, T., Sawada, A., Hatanaka, Y., Yamamoto, T., & Fujita, H. (2011). Automated determination of cup-to-disc ratio for classification of glaucomatous and normal eyes on stereo retinal fundus images. Journal of Biomedical Optics, 16(9), 096009. https://doi.org/10.1117/1.3622755

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free