Paper Abstract and Keywords |
Presentation |
2014-11-18 10:50
An Age Estimation Method Using Local Features of Brain MRI Images and Its Evaluation Chihiro Kondo, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ. of Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2014-45 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
It is well known that brain tissues have age-related morphological changes through a set of statistical analysis using large-scale brain MRI image databases. This fact allows us to estimate the age of a subject from brain MRI images by evaluating brain morphological changes with healthy aging. This paper proposes an age estimation method using local features extracted from T1-weighted MRI images. The brain local features are defined by volumes of brain tissues separated into 90 local regions defined by the Automated Anatomical Labeling atlas. We evaluate performance of the proposed method using 1,146 T1-weighted MRI images from the Aoba Brain Imaging Project and the Tsurugaya Project. We also analyze effectiveness of each local region for age estimation and discuss its medical implication. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
MRI / T1-weighted image / age estimation / brain aging / local features / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 311, MI2014-45, pp. 11-16, Nov. 2014. |
Paper # |
MI2014-45 |
Date of Issue |
2014-11-11 (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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MI2014-45 |
Conference Information |
Committee |
MI |
Conference Date |
2014-11-18 - 2014-11-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Interdisciplinary research on medical imaging, etc. |
Paper Information |
Registration To |
MI |
Conference Code |
2014-11-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Age Estimation Method Using Local Features of Brain MRI Images and Its Evaluation |
Sub Title (in English) |
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Keyword(1) |
MRI |
Keyword(2) |
T1-weighted image |
Keyword(3) |
age estimation |
Keyword(4) |
brain aging |
Keyword(5) |
local features |
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1st Author's Name |
Chihiro Kondo |
1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
2nd Author's Name |
Koichi Ito |
2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
3rd Author's Name |
Kai Wu |
3rd Author's Affiliation |
South China University of Technology (South China Univ. of Tech.) |
4th Author's Name |
Kazunori Sato |
4th Author's Affiliation |
Tohoku University (Tohoku Univ.) |
5th Author's Name |
Yasuyuki Taki |
5th Author's Affiliation |
Tohoku University (Tohoku Univ.) |
6th Author's Name |
Hiroshi Fukuda |
6th Author's Affiliation |
Tohoku Pharmaceutical University (Tohoku Pharmaceutical Univ.) |
7th Author's Name |
Takafumi Aoki |
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Tohoku University (Tohoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2014-11-18 10:50:00 |
Presentation Time |
25 minutes |
Registration for |
MI |
Paper # |
MI2014-45 |
Volume (vol) |
vol.114 |
Number (no) |
no.311 |
Page |
pp.11-16 |
#Pages |
6 |
Date of Issue |
2014-11-11 (MI) |
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