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Paper Abstract and Keywords
Presentation 2014-01-27 13:30
Comparison between a Renormalization Method for Linear Regression and a Bayes Method for Denoizing with respect to Improvement of Dynamic PET Image Analysis
Takahiro Kozawa, Hidekata Hontani (Nagoya Inst. of Tech.), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMIG), Yuichi Kimura (Kinki Univ) MI2013-109
Abstract (in Japanese) (See Japanese page) 
(in English) The tissue time activity curve (tTAC) represents a time variation of radioactivity of ligand in the brain derived from brain PET imaging, and is used for receptor analysis in combination with the time activity curve in arterial plasma. However, it is known that the noises in measured tTAC seriously deteriorates analysis accuracy. In order to improve the performance, we propose two methods: Bayesian approach to denoise tTAC and the renormalization approach for the Logan Graphical Analysis. We found the first method improves the performance better.
Keyword (in Japanese) (See Japanese page) 
(in English) PET / kinetic analysis / noise reduction / Bayes estimation / Renormalization Method / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-109, pp. 285-290, Jan. 2014.
Paper # MI2013-109 
Date of Issue 2014-01-19 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee MI  
Conference Date 2014-01-26 - 2014-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computer Assisted Diagnosis and Therapy Based on Computational Anatomy, etc. 
Paper Information
Registration To MI 
Conference Code 2014-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Comparison between a Renormalization Method for Linear Regression and a Bayes Method for Denoizing with respect to Improvement of Dynamic PET Image Analysis 
Sub Title (in English)  
Keyword(1) PET  
Keyword(2) kinetic analysis  
Keyword(3) noise reduction  
Keyword(4) Bayes estimation  
Keyword(5) Renormalization Method  
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Keyword(7)  
Keyword(8)  
1st Author's Name Takahiro Kozawa  
1st Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
2nd Author's Name Hidekata Hontani  
2nd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
3rd Author's Name Kazuya Sakaguchi  
3rd Author's Affiliation Kitasato University (Kitasato Univ)
4th Author's Name Muneyuki Sakata  
4th Author's Affiliation Tokyo Metropolitan Institute of Gerontology (TMIG)
5th Author's Name Yuichi Kimura  
5th Author's Affiliation Kinki University (Kinki Univ)
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Speaker
Date Time 2014-01-27 13:30:00 
Presentation Time 45 
Registration for MI 
Paper # IEICE-MI2013-109 
Volume (vol) IEICE-113 
Number (no) no.410 
Page pp.285-290 
#Pages IEICE-6 
Date of Issue IEICE-MI-2014-01-19 


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