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| Paper Abstract and Keywords | ||
| Presentation | 2018-05-18 16:00 [Short Paper] Ryoma Bise (Kyushu Univ.), Zheng Yinqiang, Imari Sato (NII)  SIP2018-17 IE2018-17 PRMU2018-17 MI2018-17 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Photoacoustic imaging (PAI) is a new imaging technology that can non-invasively visualize blood vessels inside biological tissues, and it has been gaining attention since the visualized blood vessel structures relate to various diseases such as cancer. In the process of imaging large body parts through multi-scan fusion, the patient often moves during scanning, and it makes the image quality deteriorated. Therefore, accurate alignment of multiple shot volumes is required to improve the image quality. However, current methods do not work well for aligning the shot volumes because of severe noise and corruption. In this paper, we propose a novel registration method that achieves better alignment while effectively decomposing the shot volumes into the low-rank foreground (blood vessels), dense background (noise), and sparse complement (corruption) components. The results of experiments using a challenging real dataset demonstrate the efficacy of the proposed method, which significantly improved image quality, and had the best alignment accuracy among the state-of-the-art methods tested. |
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| Keyword | (in Japanese) | (See Japanese page) |
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| Reference Info. | IEICE Tech. Rep., vol. 118, no. 35, PRMU2018-17, pp. 75-79, May 2018. | |
| Paper # | PRMU2018-17 | |
| Date of Issue | 2018-05-10 (SIP, IE, PRMU, 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 | SIP2018-17 IE2018-17 PRMU2018-17 MI2018-17 |
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| Conference Information | |
| Committee | PRMU MI IE SIP |
| Conference Date | 2018-05-17 - 2018-05-18 |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | PRMU |
| Conference Code | 2018-05-PRMU-MI-IE-SIP |
| Language | Japanese without English title) |
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| 1st Author's Name | Ryoma Bise |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Zheng Yinqiang |
| 2nd Author's Affiliation | National Institute of Informatics (NII) |
| 3rd Author's Name | Imari Sato |
| 3rd Author's Affiliation | National Institute of Informatics (NII) |
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| Speaker | Author-1 |
| Date Time | 2018-05-18 16:00:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | SIP2018-17, IE2018-17, PRMU2018-17, MI2018-17 |
| Volume (vol) | vol.118 |
| Number (no) | no.33(SIP), no.34(IE), no.35(PRMU), no.36(MI) |
| Page | pp.75-79 |
| #Pages | 5 |
| Date of Issue | 2018-05-10 (SIP, IE, PRMU, MI) |
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