Paper Abstract and Keywords |
Presentation |
2010-03-09 15:25
Construction of head voxel models for EEG source estimation
-- Automated noise threshold identification of MR images based on the EM algorithm -- Teruyoshi Sasayama (Kyoto Univ./JSPS), Tomoaki Iida, Takenori Oida, Shoji Hamada, Tetsuo Kobayashi (Kyoto Univ.) NC2009-98 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Utilization of custom-made real head subjects’ models is expected to enhance the reliability of EEG (electroencephalogram) source estimation by calculating EEG lead field matrices. We need to determine the intensity threshold of the MR (magnetic resonance) images to classify the noise and head regions when custom-made real head models are made from MR images. Since it is sometimes difficult to determine the threshold manually, we propose a noise threshold identification procedure using EM (Expectation-Maximization) algorithm. Using the procedure, we could construct head voxel models. In addition, EEG lead field matrices between gray-matter voxels and EEG electrodes were calculated using head voxel models constructed by manual, Otsu’s method, and the proposed method. We compared the EEG distributions generated from an equivalent current dipole placed in the primary motor cortex using the three different matrices. The result indicates that there is no big difference among those three EEG distributions. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
electroencephalogram (EEG) / magnetic resonance imaging (MRI) / EM (Expectation-Maximization) algorithm / source estimation / brain-machine interface (BMI) / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 461, NC2009-98, pp. 61-66, March 2010. |
Paper # |
NC2009-98 |
Date of Issue |
2010-03-02 (NC) |
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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NC2009-98 |
Conference Information |
Committee |
NC MBE |
Conference Date |
2010-03-09 - 2010-03-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tamagawa University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General |
Paper Information |
Registration To |
NC |
Conference Code |
2010-03-NC-MBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Construction of head voxel models for EEG source estimation |
Sub Title (in English) |
Automated noise threshold identification of MR images based on the EM algorithm |
Keyword(1) |
electroencephalogram (EEG) |
Keyword(2) |
magnetic resonance imaging (MRI) |
Keyword(3) |
EM (Expectation-Maximization) algorithm |
Keyword(4) |
source estimation |
Keyword(5) |
brain-machine interface (BMI) |
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1st Author's Name |
Teruyoshi Sasayama |
1st Author's Affiliation |
Kyoto University/The Japan Society for the Promotion of Science (Kyoto Univ./JSPS) |
2nd Author's Name |
Tomoaki Iida |
2nd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
3rd Author's Name |
Takenori Oida |
3rd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
4th Author's Name |
Shoji Hamada |
4th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
5th Author's Name |
Tetsuo Kobayashi |
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Kyoto University (Kyoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2010-03-09 15:25:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2009-98 |
Volume (vol) |
vol.109 |
Number (no) |
no.461 |
Page |
pp.61-66 |
#Pages |
6 |
Date of Issue |
2010-03-02 (NC) |
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