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| 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 |
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| 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 |
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| 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 |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 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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