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| 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 |
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| 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 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 | MI2013-109 |
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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 |
| Keyword(6) | |
| 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 | Author-1 |
| Date Time | 2014-01-27 13:30:00 |
| Presentation Time | 45 minutes |
| Registration for | MI |
| Paper # | MI2013-109 |
| Volume (vol) | vol.113 |
| Number (no) | no.410 |
| Page | pp.285-290 |
| #Pages | 6 |
| Date of Issue | 2014-01-19 (MI) |
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