Eye Fundus Image Analysis System for Early Detection of Cerebrovascular Disorder
| Project/Area Number |
24650121
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Fuzzy Logic Systems Institute |
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Principal Investigator |
UCHINO Eiji 一般財団法人ファジィシステム研究所, 理事長 (30168710)
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| Co-Investigator(Kenkyū-buntansha) |
SUETAKE Noriaki 山口大学, 大学院理工学研究科, 准教授 (80334051)
TOKUNAGA Kazuhiro 水産大学校, 海洋機械工学科, 助教 (00432956)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 眼底画像 / 網膜血管 / 動脈硬化 / 脳血管障害 / 拍動 / Scheie分類 |
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| Outline of Final Research Achievements |
It is possible to predict the cerebrovascular disorder by the information of the retinal blood vessels obtained from the eye fundus camera. In this study, we first aimed to develop the image analysis system of the retinal blood vessels as a screening system that easily predicts the degree of hardening of the arteries of the brain blood vessels.
In 2012-2013, we succeeded the evaluation of the arteriovenous crossing, and the automatic detection of the narrowing of the artery. Also, in 2014, a large amount of the eye fundus images and moving images was applied to the proposed methods. As a result, the proposed methods could process those images that could not be analyzed by the conventional methods. The superiorities of the proposed methods were confirmed. The prototype of the image analysis system for eye fundus blood vessels has been realized for a future practical use.
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Report
(4 results)
Research Products
(8 results)
