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Paper Abstract and Keywords
Presentation 2012-01-19 10:30
Bayesian Approach for the Denoising to PET Dynamic Data without Arterial Blood Sampling
Takahiro Kozawa, Hidekata Hontani (NIT), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMGHIG), Yuichi Kimura (NIRS) MI2011-79
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we propose a new method for denoising tissue time activity curve (tTAC) measured from brain PET images. tTAC is a curve representing time variation of radioactivity of ligand in the brain and used receptor analysis in combination with the plasma time activity curve (pTAC), which is obtained by drawing arterial blood. Large amount of noise in measured tTAC reduces accuracy of the estimation, so the accuracy of the estimation is improved by denoising tTAC. It is known that noise free tTAC is represented by the observed pTAC and the compartment model, which is derived from the behavior of ligand. The authors have proposed a method for denoising tTAC by using the measured pTAC and the compartment model. The drawback of the method was that it used the pTAC, which is not easy to measure. The proposed method expands the method: it denoises tTACs without using measured pTAC. In this article, we shows some results of fundamental experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) PET / denoising / kinetic analysis / total distribution volume / Bayes estimation / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 389, MI2011-79, pp. 11-16, Jan. 2012.
Paper # MI2011-79 
Date of Issue 2012-01-12 (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 2012-01-19 - 2012-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2012-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bayesian Approach for the Denoising to PET Dynamic Data without Arterial Blood Sampling 
Sub Title (in English)  
Keyword(1) PET  
Keyword(2) denoising  
Keyword(3) kinetic analysis  
Keyword(4) total distribution volume  
Keyword(5) Bayes estimation  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Takahiro Kozawa  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Hidekata Hontani  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
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 Geriatric Hospital and Institute of Gerontology (TMGHIG)
5th Author's Name Yuichi Kimura  
5th Author's Affiliation National Institute of Radiological Sciences (NIRS)
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Speaker Author-1 
Date Time 2012-01-19 10:30:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2011-79 
Volume (vol) vol.111 
Number (no) no.389 
Page pp.11-16 
#Pages 6 
Date of Issue 2012-01-12 (MI) 

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