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Paper Abstract and Keywords
Presentation 2012-07-19 15:40
Bayesian Inference Approach to Visualize Neuroreceptor Density using Positron Emission Tomography without Arterial Blood Sampling
Takahiro Kozawa, Hidekata Hontani (NIT), Kazuya Sakaguchi (Kitasato Univ), Muneyuki Sakata (TMGHIG), Yuichi Kimura (NIRS) MI2012-26
Abstract (in Japanese) (See Japanese page) 
(in English) A Bayesian approach to de-noise tissue time activity curves (tTAC) is proposed in order to quantitatively visualize neuroreceptor density. Given the measurements, the method estimates the posterior probability distribution of the de-noised tTAC. No arterial blood sampling is required for the estimation. Instead, the prior probability distribution of the time activity curve in arterial plasma is used derived from population based clinical data set. A set of artificial noise-free tTACs is generated based on a compartment model for obtaining the prior distribution of the tTAC, and is used for the computation of the posterior distribution. In order to improve the confidence of the estimates, the method refers to the information of regions of interests (ROIs) in the measured PET images. The performance of the proposed method is demonstrated by the results of simulation experiments: The residual square error of the estimated tTAC was reduced about 58% by using the information of ROIs.
Keyword (in Japanese) (See Japanese page) 
(in English) PET / kinetic analysis / noise reduction / Bayes estimation / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 142, MI2012-26, pp. 29-34, July 2012.
Paper # MI2012-26 
Date of Issue 2012-07-12 (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)
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Conference Information
Committee MI  
Conference Date 2012-07-19 - 2012-07-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Yamagata Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) New paradigm of brain function measurement 
Paper Information
Registration To MI 
Conference Code 2012-07-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bayesian Inference Approach to Visualize Neuroreceptor Density using Positron Emission Tomography without Arterial Blood Sampling 
Sub Title (in English)  
Keyword(1) PET  
Keyword(2) kinetic analysis  
Keyword(3) noise reduction  
Keyword(4) Bayes estimation  
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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 2012-07-19 15:40:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2012-26 
Volume (vol) vol.112 
Number (no) no.142 
Page pp.29-34 
#Pages 6 
Date of Issue 2012-07-12 (MI) 

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