Automated microaneurysm detection method based on double ring filter in retinal fundus images

Atsushi Mizutani; Chisako Muramatsu; Yuji Hatanaka; Shinsuke Suemori; Takeshi Hara; Hiroshi Fujita

doi:10.1117/12.813468

4 March 2009 Automated microaneurysm detection method based on double ring filter in retinal fundus images

Atsushi Mizutani, Chisako Muramatsu, Yuji Hatanaka, Shinsuke Suemori, Takeshi Hara, Hiroshi Fujita

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Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72601N (2009) https://doi.org/10.1117/12.813468
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

The presence of microaneurysms in the eye is one of the early signs of diabetic retinopathy, which is one of the leading causes of vision loss. We have been investigating a computerized method for the detection of microaneurysms on retinal fundus images, which were obtained from the Retinopathy Online Challenge (ROC) database. The ROC provides 50 training cases, in which "gold standard" locations of microaneurysms are provided, and 50 test cases without the gold standard locations. In this study, the computerized scheme was developed by using the training cases. Although the results for the test cases are also included, this paper mainly discusses the results for the training cases because the "gold standard" for the test cases is not known. After image preprocessing, candidate regions for microaneurysms were detected using a double-ring filter. Any potential false positives located in the regions corresponding to blood vessels were removed by automatic extraction of blood vessels from the images. Twelve image features were determined, and the candidate lesions were classified into microaneurysms or false positives using the rule-based method and an artificial neural network. The true positive fraction of the proposed method was 0.45 at 27 false positives per image. Forty-two percent of microaneurysms in the 50 training cases were considered invisible by the consensus of two co-investigators. When the method was evaluated for visible microaneurysms, the sensitivity for detecting microaneurysms was 65% at 27 false positives per image. Our computerized detection scheme could be improved for helping ophthalmologists in the early diagnosis of diabetic retinopathy.

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Atsushi Mizutani, Chisako Muramatsu, Yuji Hatanaka, Shinsuke Suemori, Takeshi Hara, and Hiroshi Fujita "Automated microaneurysm detection method based on double ring filter in retinal fundus images", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72601N (4 March 2009); https://doi.org/10.1117/12.813468

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