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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
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.
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

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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Paper Information
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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