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Paper Abstract and Keywords
Presentation 2015-03-03 10:46
Row-Action-Type Method for Total-Variation Regularization and its Application to CT Image Reconstruction
Fukashi Yamazaki, Takuya Nemoto, Keita Takaki, Hiroyuki Kudo (Tsukuba Univ.) MI2014-95
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an exact row-action-type total variation(TV) minimization algorithm which is faster than conventional methods. In inverse problem, it is well-known that the TV regularization is effective because it yields good results for ill-posed problem. There exist generalizations of the iterative soft-thresholding algorithm and Chambolle-Pock algorithm to optimize the TV norm exactly. However, these methods are simultaneous-iterative-type algorithm. It means that their convergence is slower compared with row-action-type algorithms. In order to solve this problem, this paper proposes a new row-action-type algorithm to minimize the TV-norm exactly using the framework called proximal splitting. Experimental results show that the convergence speed of the propose method is much faster than the conventional simultaneous iterative methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Image reconstruction / Row-action type / Total variation / Proximal splitting / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 482, MI2014-95, pp. 199-204, March 2015.
Paper # MI2014-95 
Date of Issue 2015-02-23 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
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)
Download PDF MI2014-95

Conference Information
Committee MI  
Conference Date 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Miyahira 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Creation of multidisciplinary computational anatomy, Forefront of medical image engineering, General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2015-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Row-Action-Type Method for Total-Variation Regularization and its Application to CT Image Reconstruction 
Sub Title (in English)  
Keyword(1) Image reconstruction  
Keyword(2) Row-action type  
Keyword(3) Total variation  
Keyword(4) Proximal splitting  
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1st Author's Name Fukashi Yamazaki  
1st Author's Affiliation Tsukuba University (Tsukuba Univ.)
2nd Author's Name Takuya Nemoto  
2nd Author's Affiliation Tsukuba University (Tsukuba Univ.)
3rd Author's Name Keita Takaki  
3rd Author's Affiliation Tsukuba University (Tsukuba Univ.)
4th Author's Name Hiroyuki Kudo  
4th Author's Affiliation Tsukuba University (Tsukuba Univ.)
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Speaker Author-1 
Date Time 2015-03-03 10:46:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2014-95 
Volume (vol) vol.114 
Number (no) no.482 
Page pp.199-204 
#Pages 6 
Date of Issue 2015-02-23 (MI) 

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