Journal
IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume 22, Issue 8, Pages 951-958Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2003.815900
Keywords
blood vessels; retinal imaging; optical image processing; segmentation
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Funding
- NEI NIH HHS [EY13235-11] Funding Source: Medline
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We describe an automated method to locate the optic nerve in images of the ocular fundus. Our method uses a novel algorithm we call fuzzy convergence to determine the origination of the blood vessel network. We evaluate our method using 31 images of healthy retinas and 50 images of diseased retinas, containing such diverse symptoms as tortuous vessels, choroidal neovascularization, and hemorrhages that completely obscure the actual nerve. On this difficult data set, our method achieved 89% correct detection. We also compare our method against three simpler methods, demonstrating the performance improvement. All our images and data are freely available for other researchers to use in evaluating related methods.
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