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Paper Abstract and Keywords
Presentation 2021-05-17 10:00
[Short Paper] Regression of Induced Electric Field for TMS by using Neural Network and Governing Equation
Toyohiro Maki (NITech), Yoshikazu Ugawa, Takenobu Murakami (Fukushima Medical Univ.), Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NITech) MI2021-1
Abstract (in Japanese) (See Japanese page) 
(in English) TMS (Transcranial Magnetic Stimulation) is a method which stimulate the neurons in the brain by using a coil. Since stimulated area is difference from coil positions, to identify the coil position and orientation is an important factor for TMS. An electric field distribution induced by the coil is an important criteria to identify the positions. The induced electric field in the head is physically simulated from a 3D conductor model. The conductivity model is constructed from applying a given conductivity value to segmented brain areas (eg. gray matter, white matter) by using MR images. In conventional method, the segmentation is time-consuming because of complexity of brain and diversity of subjects, hence real time simulation of the electric field is not disable. Thus, we propose a method which estimate the electric field in real time by using neural network. The neural network has a problem that outputs of the network are not always satisfied with Maxwell's equation. Therefore, we add a regularization term to loss function to constrain the output of the network.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural Network / Transcranial Magnetic Stimulation / Magnetic Resonance Image / Electric Field Estimation / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 21, MI2021-1, pp. 1-2, May 2021.
Paper # MI2021-1 
Date of Issue 2021-05-10 (MI) 
ISSN 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 MI2021-1

Conference Information
Committee MI  
Conference Date 2021-05-17 - 2021-05-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Processing, etc 
Paper Information
Registration To MI 
Conference Code 2021-05-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Regression of Induced Electric Field for TMS by using Neural Network and Governing Equation 
Sub Title (in English)  
Keyword(1) Neural Network  
Keyword(2) Transcranial Magnetic Stimulation  
Keyword(3) Magnetic Resonance Image  
Keyword(4) Electric Field Estimation  
Keyword(5)  
Keyword(6)  
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1st Author's Name Toyohiro Maki  
1st Author's Affiliation Nagoya Institute of Technology (NITech)
2nd Author's Name Yoshikazu Ugawa  
2nd Author's Affiliation Fukushima Medical University (Fukushima Medical Univ.)
3rd Author's Name Takenobu Murakami  
3rd Author's Affiliation Fukushima Medical University (Fukushima Medical Univ.)
4th Author's Name Tatsuya Yokota  
4th Author's Affiliation Nagoya Institute of Technology (NITech)
5th Author's Name Akimasa Hirata  
5th Author's Affiliation Nagoya Institute of Technology (NITech)
6th Author's Name Hidekata Hontani  
6th Author's Affiliation Nagoya Institute of Technology (NITech)
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Speaker Author-1 
Date Time 2021-05-17 10:00:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2021-1 
Volume (vol) vol.121 
Number (no) no.21 
Page pp.1-2 
#Pages 2 
Date of Issue 2021-05-10 (MI) 

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