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Paper Abstract and Keywords
Presentation 2019-03-06 15:50
PET Image Reconstruction by use of Dictionary Learning
Naohiro OKumura, Hayaru Shouno (UEC) NC2018-85
Abstract (in Japanese) (See Japanese page) 
(in English) Nowadays, Positron Emission Tomography (PET) scan is focused in the field of pathological diagnosis.In order to obtain a clear image in the PET scan, it is necessary to increase the S/N ratio, which leads to an increase in exposure dose at the time of observation.For this reason, it is desired to increase the S/N ratio of the image while suppressing the exposure dose.In this research, we applied a dictionary learning approach based on sparse representation against this problem.The observation signal in PET scans is represented in sinogram. We applied a dictionary learning for the sinogram representations, and tried to reduce observation noise by use of the dictionary.
Keyword (in Japanese) (See Japanese page) 
(in English) PET image reconstruction / Sparse coding / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 470, NC2018-85, pp. 221-226, March 2019.
Paper # NC2018-85 
Date of Issue 2019-02-25 (NC) 
ISSN 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 NC2018-85

Conference Information
Committee NC MBE  
Conference Date 2019-03-04 - 2019-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Electro Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2019-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) PET Image Reconstruction by use of Dictionary Learning 
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Keyword(1) PET image reconstruction  
Keyword(2) Sparse coding  
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1st Author's Name Naohiro OKumura  
1st Author's Affiliation University of Electro-Communications (UEC)
2nd Author's Name Hayaru Shouno  
2nd Author's Affiliation University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2019-03-06 15:50:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2018-85 
Volume (vol) vol.118 
Number (no) no.470 
Page pp.221-226 
#Pages 6 
Date of Issue 2019-02-25 (NC) 

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