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Paper Abstract and Keywords
Presentation 2014-01-27 13:30
Retinal Images Analysis for Glaucoma Aided Diagnosis -- Decision of Cup Contour Based on Blood Vessel Bends Detection --
Yuji Hatanaka, Yuuki Nagahata, Susumu Okumura, Kazunori Ogohara (Univ. of Shiga Pref.), Chisako Muramatsu, Akira Sawada, Tetsuya Yamamoto, Hiroshi Fujita (Gifu Univ.) MI2013-105
Abstract (in Japanese) (See Japanese page) 
(in English) Retinal image examination is useful for early detection of glaucoma, which is a leading cause of permanent blindness. In order to evaluate the presence of glaucoma, ophthalmologists may determine the cup and disc areas and diagnose glaucoma using a vertical cup-to-disc (C/D) ratio and a rim-to-disc (R/D) ratio. However, quantitative determination of the cup area is very difficult, thus we have been developing an automated vertical C/D ratio and R/D ratio. The purpose of this study is to improve a cup contour by using automated blood vessel bends detection; thereby a blood vessel detection based on a density gradient vectors concentration was added. Using forty four images, including thirty two glaucoma images, the AUCs of vertical C/D ratio and R/D ratio by proposed method were 0.966 and 0.936, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) Glaucoma / C/D ratio / R/D ratio / Retina / Detection / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-105, pp. 265-268, Jan. 2014.
Paper # MI2013-105 
Date of Issue 2014-01-19 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MI  
Conference Date 2014-01-26 - 2014-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computer Assisted Diagnosis and Therapy Based on Computational Anatomy, etc. 
Paper Information
Registration To MI 
Conference Code 2014-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Retinal Images Analysis for Glaucoma Aided Diagnosis 
Sub Title (in English) Decision of Cup Contour Based on Blood Vessel Bends Detection 
Keyword(1) Glaucoma  
Keyword(2) C/D ratio  
Keyword(3) R/D ratio  
Keyword(4) Retina  
Keyword(5) Detection  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuji Hatanaka  
1st Author's Affiliation The University of Shiga Prefecture (Univ. of Shiga Pref.)
2nd Author's Name Yuuki Nagahata  
2nd Author's Affiliation The University of Shiga Prefecture (Univ. of Shiga Pref.)
3rd Author's Name Susumu Okumura  
3rd Author's Affiliation The University of Shiga Prefecture (Univ. of Shiga Pref.)
4th Author's Name Kazunori Ogohara  
4th Author's Affiliation The University of Shiga Prefecture (Univ. of Shiga Pref.)
5th Author's Name Chisako Muramatsu  
5th Author's Affiliation Gifu University (Gifu Univ.)
6th Author's Name Akira Sawada  
6th Author's Affiliation Gifu University (Gifu Univ.)
7th Author's Name Tetsuya Yamamoto  
7th Author's Affiliation Gifu University (Gifu Univ.)
8th Author's Name Hiroshi Fujita  
8th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2014-01-27 13:30:00 
Presentation Time 45 minutes 
Registration for MI 
Paper # MI2013-105 
Volume (vol) vol.113 
Number (no) no.410 
Page pp.265-268 
#Pages 4 
Date of Issue 2014-01-19 (MI) 

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