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Semiautomatic leakage analyzing system for time series fluorescein ocular fundus angiography |
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| Authors: | Shinichi Tamura Kokichi Tanaka Seiji Ohmori Kozo Okazaki Akira Okada Mitsuru Hoshi |
| Affiliation: | 1. Department of Information and Computer Sciences, Faculty of Engineering Science, Osaka University, Toyonaka, Osaka 560, Japan;2. Department of Internal Medicine, Osaka Police Hospital, Tennoji-ku, Osaka 543, Japan;3. Department of Electrical Engineering, Faculty of Engineering, Tottori University, Tottori, Tottori 680, Japan;4. The First Department of Medicine, Osaka University Medical School, Fukushima-ku, Osaka 553, Japan;5. Department of Medicine, Osaka Kosei-Nenkin Hospital, Fukushima-ku, Osaka 553, Japan |
| Abstract: | An algorithm for measuring an index of leakage in fluorescein fundus angiography is presented. The number of pixels whose gray level exceeds an automatically determined slice level is calculated. An automatic blood vessel elimination technique is introduced. Further, a method of measuring the short term change of leakage from a time series of the fluorescein fundus angiographs is described. Our system can also deal with the time series images obtained on different occasions (long term change).The features of this paper are: (1) this paper deals with double time sequence images (short and long term); (2) an automatic blood vessel recognition algorithm is employed. |
| Keywords: | Image processing Pattern recognition Time series images Blood vessel elimination Ocular fundus photograph Diabetic retinopathy Fluorescein fundus angiography |
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