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Paper Abstract and Keywords
Presentation 2014-01-26 13:30
Registration Algorithm of Fundus Oculi for 3-D Optical Coherence Tomography Images
Kyosuke Togashi, Miki Sakamoto (Yamagata Univ.), Gaku Takeuchi, Masahiro Akiba (TOPCON), Takeshi Yabana, Kazuko Omodaka, Morin Ryu, Wataru Kobayashi, Yu Yokoyama (Tohoku Univ.), Yasufumi Fukuma (TOPCON), Toru Nakazawa, Tetsuya Yuasa (Tohoku Univ.) MI2013-80
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, retinal nerve fiber layer (RNFL) thickness measurement from retinal optical coherence tomography (OCT) images has been widely used as an important clinical index to indicate a glaucoma progression. While a long-term follow-up of RNFL thickness is effective tool for glaucoma diagnosis, a precise registration is indispensable for OCT images acquired at different date. In this study, we propose a registration algorithm to correct random shifts occurring whenever imaging based on a projection image generated from the 3-D OCT retinal images. For speeding-up, the algorithm was implemented by processing in Fourier space based on properties of Fourier transform with rotation and translation, which is referred to as phase-only correlation method. For the stable detection of shift, several preprocessing to raw data, such as background correction to homogenize different imaging conditions, zero-padding to resize the registration image from a rectangular to a square image size, and Hanning-windowing to suppress unnecessary higher frequency-components, were carefully applied before registration. We demonstrated the effectiveness of the proposed method using an actual retina image (512×885×64) of a healthy volunteer acquired by 3-D OCT-2000 manufactured by TOPCON, Japan. The measurement was repeated 10 times, and the degree of agreement in RNFL thickness measured was evaluated with root mean square (RMS). The average RMS before and after preregistration were 4.7±1.6 and 2.6±0.3 μm, respectively. From this result, it can be concluded that the proposed method improved the precision approximately twofold. In addition, the processing time was approximately 0.3 s for a single data set, which will fall inside a permissible range of clinical use. Proposed technique may become a useful tool for glaucoma diagnosis.
Keyword (in Japanese) (See Japanese page) 
(in English) optical coherence tomography / phase-only correlation / glaucoma / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-80, pp. 133-137, Jan. 2014.
Paper # MI2013-80 
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) Registration Algorithm of Fundus Oculi for 3-D Optical Coherence Tomography Images 
Sub Title (in English)  
Keyword(1) optical coherence tomography  
Keyword(2) phase-only correlation  
Keyword(3) glaucoma  
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1st Author's Name Kyosuke Togashi  
1st Author's Affiliation Yamagata University (Yamagata Univ.)
2nd Author's Name Miki Sakamoto  
2nd Author's Affiliation Yamagata University (Yamagata Univ.)
3rd Author's Name Gaku Takeuchi  
3rd Author's Affiliation TOPCON CORPORATION (TOPCON)
4th Author's Name Masahiro Akiba  
4th Author's Affiliation TOPCON CORPORATION (TOPCON)
5th Author's Name Takeshi Yabana  
5th Author's Affiliation Tohoku University (Tohoku Univ.)
6th Author's Name Kazuko Omodaka  
6th Author's Affiliation Tohoku University (Tohoku Univ.)
7th Author's Name Morin Ryu  
7th Author's Affiliation Tohoku University (Tohoku Univ.)
8th Author's Name Wataru Kobayashi  
8th Author's Affiliation Tohoku University (Tohoku Univ.)
9th Author's Name Yu Yokoyama  
9th Author's Affiliation Tohoku University (Tohoku Univ.)
10th Author's Name Yasufumi Fukuma  
10th Author's Affiliation TOPCON CORPORATION (TOPCON)
11th Author's Name Toru Nakazawa  
11th Author's Affiliation Tohoku University (Tohoku Univ.)
12th Author's Name Tetsuya Yuasa  
12th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2014-01-26 13:30:00 
Presentation Time 45 minutes 
Registration for MI 
Paper # MI2013-80 
Volume (vol) vol.113 
Number (no) no.410 
Page pp.133-137 
#Pages
Date of Issue 2014-01-19 (MI) 


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