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オゴハラ カズノリ
OGOHARA Kazunori
小郷原 一智 所属 京都産業大学 理学部 宇宙物理・気象学科 職種 准教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2016 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | Artery and Vein Diameter Ratio Measurement Based on Improvement of Arteries and Veins Segmentation on Retinal Images |
| 執筆形態 | その他 |
| 掲載誌名 | 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
| 出版社・発行元 | IEEE |
| 巻・号・頁 | 2016-October,pp.1336-1339 |
| 著者・共著者 | Yuji Hatanaka,Hirokazu Tachiki,Kazunori Ogohara,Chisako Muramatsu,Susumu Okumura,Hiroshi Fujita |
| 概要 | Retinal arteriolar narrowing is decided based on the artery and vein diameter ratio (AVR). Previous methods segmented blood vessels and classified arteries and veins by color pixels in the centerlines of blood vessels. AVR was definitively determined through measurement of artery and vein diameters. However, this approach was not sufficient for cases with close contact between the artery of interest and an imposing vein. Here, an algorithm for AVR measurement via new classification of arteries and veins is proposed. In this algorithm, additional steps for an accurate segmentation of arteries and veins, which were not identified using the previous method, have been added to better identify major veins in the red channel of a color image. To identify major arteries, a decision tree with three features was used. As a result, all major veins and 90.9% of major arteries were correctly identified, and the absolute mean error in AVRs was 0.12. The proposed method will require further testing with a greater number of images of arteriolar narrowing before clinical application. |
| DOI | 10.1109/EMBC.2016.7590954 |
| ISSN | 1557-170X |
| Put Code(ORCID) | 52343326 |
| PermalinkURL | http://www.scopus.com/inward/record.url?eid=2-s2.0-85009115758&partnerID=MN8TOARS |
| researchmap用URL | http://orcid.org/0000-0001-7666-4442 |