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| 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 |
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| 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 | |
| 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 | MI2012-123 |
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| 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 |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 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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| Speaker | Author-1 |
| Date Time | 2013-01-25 15:45:00 |
| Presentation Time | 15 minutes |
| Registration for | MI |
| Paper # | MI2012-123 |
| Volume (vol) | vol.112 |
| Number (no) | no.411 |
| Page | pp.317-321 |
| #Pages | 5 |
| Date of Issue | 2013-01-17 (MI) |
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