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Paper Abstract and Keywords
Presentation 2017-03-10 11:20
MRI Acceleration by Super Resolution
Ayaka Nakashima, Masanori Kawakita, Yutaka Jitsumatsu (Kyushu Univ.), Shigehide Kuhara (Kyorin Univ.), Jun'ichi Takeuchi (Kyushu Univ.) IT2016-124 ISEC2016-114 WBS2016-100
Abstract (in Japanese) (See Japanese page) 
(in English) MR imaging currently takes a long imaging time in some applications such as 3D imaging and faster imaging speed is required. Several acceleration techniques have been proposed, and recently one of the most promising approaches is compressed sensing. This method successfully reduces the data acquisition time sufficiently to be used for clinical use. However, this does not lead to reduction of total examination time because the reconstruction time becomes longer up to about thirty to fifty minutes and it’s too long for clinical use. In this work, we discuss Super Resolution via Deep Neural Network approach to reduce the total examination time.
Keyword (in Japanese) (See Japanese page) 
(in English) Magnetic Reasonance Imaging / Super-Resolution / Deep Neural Network / Convolution Neural Network / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 504, IT2016-124, pp. 161-166, March 2017.
Paper # IT2016-124 
Date of Issue 2017-03-02 (IT, ISEC, WBS) 
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 IT2016-124 ISEC2016-114 WBS2016-100

Conference Information
Committee ISEC WBS IT  
Conference Date 2017-03-09 - 2017-03-10 
Place (in Japanese) (See Japanese page) 
Place (in English) TOKAI University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) joint meeting of IT, ISEC, and WBS 
Paper Information
Registration To IT 
Conference Code 2017-03-ISEC-WBS-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) MRI Acceleration by Super Resolution 
Sub Title (in English)  
Keyword(1) Magnetic Reasonance Imaging  
Keyword(2) Super-Resolution  
Keyword(3) Deep Neural Network  
Keyword(4) Convolution Neural Network  
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1st Author's Name Ayaka Nakashima  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Masanori Kawakita  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Yutaka Jitsumatsu  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Shigehide Kuhara  
4th Author's Affiliation Kyorin University (Kyorin Univ.)
5th Author's Name Jun'ichi Takeuchi  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2017-03-10 11:20:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2016-124, ISEC2016-114, WBS2016-100 
Volume (vol) vol.116 
Number (no) no.504(IT), no.505(ISEC), no.506(WBS) 
Page pp.161-166 
#Pages 6 
Date of Issue 2017-03-02 (IT, ISEC, WBS) 

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