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Paper Abstract and Keywords
Presentation 2019-01-22 09:35
Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing
Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Hideyuki Kato, Yoshihiko Ooka (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.) MI2018-59
Abstract (in Japanese) (See Japanese page) 
(in English) Robust principal component analysis (RPCA) can extract vessel information from consecutive digital angiographic images. However, standard RPCA also provided artifacts around vessel regions whose contrast was low. Although RPCA was improved by additional restriction terms, processing time increased. In this study, we accelerated the improved PRCA for clinical application. The accelerated PRCA could generate vessel extraction image within about 10 seconds whereas conventional environment required more than 3 hours. The difference between generated images by both environments was evaluated and we confirmed that no significant difference was observed.
Keyword (in Japanese) (See Japanese page) 
(in English) X-ray image / Angiographic image / RPCA / Parallel processing / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 412, MI2018-59, pp. 1-4, Jan. 2019.
Paper # MI2018-59 
Date of Issue 2019-01-15 (MI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 2019-01-22 - 2019-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2019-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing 
Sub Title (in English)  
Keyword(1) X-ray image  
Keyword(2) Angiographic image  
Keyword(3) RPCA  
Keyword(4) Parallel processing  
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1st Author's Name Morio Kawabe  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Yuri Kokura  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Takashi Ohnishi  
3rd Author's Affiliation Chiba University (Chiba Univ.)
4th Author's Name Hideyuki Kato  
4th Author's Affiliation Chiba University (Chiba Univ.)
5th Author's Name Yoshihiko Ooka  
5th Author's Affiliation Chiba University (Chiba Univ.)
6th Author's Name Tomoya Sakai  
6th Author's Affiliation Nagasaki University (Nagasaki Univ.)
7th Author's Name Hideaki Haneishi  
7th Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2019-01-22 09:35:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2018-59 
Volume (vol) vol.118 
Number (no) no.412 
Page pp.1-4 
#Pages
Date of Issue 2019-01-15 (MI) 


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