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Paper Abstract and Keywords
Presentation 2017-01-18 14:15
Development of optical imaging of osteoarthritis knee joint cartilage using 1.0 T MRI and image analysis free software
Asuka Tamura, Yutaro Arai (MIT), Shin Ishihara, Junichi Hata, Kenta Ishii (NITGC), Haruka Ogawa, Mizuho Kobayashi (MIT), Masaaki Aoki (NEOMAX), Satoshi Tsurumi (NITGC), Hiroko Hoshi (MIT) MI2016-81
Abstract (in Japanese) (See Japanese page) 
(in English) Osteoarthritis (OA) is a disease caused by articular cartilage degeneration and destruction. MRI is used as one of the diagnostic methods for OA. While MRI, under 1.5 T, is widely used, there is no correlating analysis imaging system. Here, we tried to develop an image analysis program by viewing the chondrocyte area of a rat knee joint using 1.0 T MRI images. Images of healthy and OA knee joint chondrocyte with 1.0 T MRI showed sharper quality using proton density-weighted spin echo method. Image analysis by OpenCV program could view the cartilage area of the knee joint as a white signal strength with the help of MRI images. In addition, the signal strengths for the OA knee joint were lower as compared with that of the normal knee joint cartilage. This analysis could take into account both absolute evaluation of chondrocyte regions and comparative validation white and black balance, chondrocyte and non-chondrocyte regions.
These results presented a possibility of diagnosis of OA knee joint cartilage in optimum conditions with 1.0 T MRI imaging, and the development of an inexpensive image analysis method.
Keyword (in Japanese) (See Japanese page) 
(in English) MRI / Osteoarthritis / proton density-weighted image / evaluation of cartilage region / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 393, MI2016-81, pp. 39-44, Jan. 2017.
Paper # MI2016-81 
Date of Issue 2017-01-11 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 2017-01-18 - 2017-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tenbusu Naha 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2017-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of optical imaging of osteoarthritis knee joint cartilage using 1.0 T MRI and image analysis free software 
Sub Title (in English)  
Keyword(1) MRI  
Keyword(2) Osteoarthritis  
Keyword(3) proton density-weighted image  
Keyword(4) evaluation of cartilage region  
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1st Author's Name Asuka Tamura  
1st Author's Affiliation Maebashi Institute of Technology (MIT)
2nd Author's Name Yutaro Arai  
2nd Author's Affiliation Maebashi Institute of Technology (MIT)
3rd Author's Name Shin Ishihara  
3rd Author's Affiliation National Institute of Technology, Gunma College (NITGC)
4th Author's Name Junichi Hata  
4th Author's Affiliation National Institute of Technology, Gunma College (NITGC)
5th Author's Name Kenta Ishii  
5th Author's Affiliation National Institute of Technology, Gunma College (NITGC)
6th Author's Name Haruka Ogawa  
6th Author's Affiliation Maebashi Institute of Technology (MIT)
7th Author's Name Mizuho Kobayashi  
7th Author's Affiliation Maebashi Institute of Technology (MIT)
8th Author's Name Masaaki Aoki  
8th Author's Affiliation NEOMAX ENGINEERING Co.,Ltd. (NEOMAX)
9th Author's Name Satoshi Tsurumi  
9th Author's Affiliation National Institute of Technology, Gunma College (NITGC)
10th Author's Name Hiroko Hoshi  
10th Author's Affiliation Maebashi Institute of Technology (MIT)
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Speaker Author-1 
Date Time 2017-01-18 14:15:00 
Presentation Time 40 minutes 
Registration for MI 
Paper # MI2016-81 
Volume (vol) vol.116 
Number (no) no.393 
Page pp.39-44 
#Pages
Date of Issue 2017-01-11 (MI) 


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