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Paper Abstract and Keywords
Presentation 2013-01-25 15:45
Row-Action Type Image Reconstruction Method for Total Variation Regularization
Hirotaka Oomori, Hiroyuki Kudo, Taizo Suzuki (Univ of Tsukuba) MI2012-123
Abstract (in Japanese) (See Japanese page) 
(in English) In X-ray computed tomography(CT), image reconstruction method from incomplete projection data is a well-known ill-posed inverse problem and the research of this problem has been actively carried out. However, in the most conventional row-action reconstruction method, such as ART method, it is difficult to get a reconstruction image with good accuracy from incomplete projection data because ART method cannot be uniquely determined resolution of the reconstruction image. To avoid this problem, we propose the row-action reconstruction method using total variation regularization and show its effectiveness from the simulation experiments. The propose method can be adapted total variation regularization to the row-action reconstruction by using the frame work of the proximal splitting.
Keyword (in Japanese) (See Japanese page) 
(in English) image reconstruction / row-action reconstruction / total variation regularization / proximal splitting / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 411, MI2012-123, pp. 317-321, Jan. 2013.
Paper # MI2012-123 
Date of Issue 2013-01-17 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MI2012-123

Conference Information
Committee MI  
Conference Date 2013-01-24 - 2013-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computational anatomy and its application to computer assisted diagnosis and therapy, etc 
Paper Information
Registration To MI 
Conference Code 2013-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Row-Action Type Image Reconstruction Method for Total Variation Regularization 
Sub Title (in English)  
Keyword(1) image reconstruction  
Keyword(2) row-action reconstruction  
Keyword(3) total variation regularization  
Keyword(4) proximal splitting  
1st Author's Name Hirotaka Oomori  
1st Author's Affiliation University of Tsukuba (Univ of Tsukuba)
2nd Author's Name Hiroyuki Kudo  
2nd Author's Affiliation University of Tsukuba (Univ of Tsukuba)
3rd Author's Name Taizo Suzuki  
3rd Author's Affiliation University of Tsukuba (Univ of Tsukuba)
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Date Time 2013-01-25 15:45:00 
Presentation Time 15 
Registration for MI 
Paper # IEICE-MI2012-123 
Volume (vol) IEICE-112 
Number (no) no.411 
Page pp.317-321 
#Pages IEICE-5 
Date of Issue IEICE-MI-2013-01-17 

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