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| Presentation | 2019-05-17 15:40 [Invited Talk] Simulation Data Driven Construction of Real-Time Estimator of Electric Fields Induced in the Brain by Transcranial Magnetic Stimulation Coil Hidekata Hontani, Toyohiro Maki, Tatsuya Yokota (NITech), Illkka Laakso (Aalto Univ.), Akimasa Hirata (NITech)  EST2019-7 Link to ES Tech. Rep. Archives: EST2019-7 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | By putting a TMS (Transcranial Magnetic Stimulation) coil on the head, one can electrically stimulate local portions of the brain. It is important for applying TMSs to neurosurgeries to accurately estimate the stimulated locations of the brain. Given the 3D distribution of the electrical characteristics such as the impedance inside the head, one can simulate the 3D electric field induced by the TMS coil. Each organ of the head such as the gray matter and the skull has different electrical characteristics and their 3D distribution in the patient’s head should be inferred by analyzing the MR image of the head. This accurate MR image analysis currently requires manual operation and is very time consuming. In this article, we introduce our study on construction of a deep neural network that can directly estimate the 3D electric field in real-time induced by the TMS coil. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | simulation / deep neural network / TMS / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 42, EST2019-7, pp. 29-29, May 2019. | |
| Paper # | EST2019-7 | |
| Date of Issue | 2019-05-10 (EST) | |
| 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 | EST2019-7 Link to ES Tech. Rep. Archives: EST2019-7 |
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| Conference Information | |
| Committee | EST |
| Conference Date | 2019-05-17 - 2019-05-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya Inst. Tech. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Simulation techniques, etc. |
| Paper Information | |
| Registration To | EST |
| Conference Code | 2019-05-EST |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Simulation Data Driven Construction of Real-Time Estimator of Electric Fields Induced in the Brain by Transcranial Magnetic Stimulation Coil |
| Sub Title (in English) | |
| Keyword(1) | simulation |
| Keyword(2) | deep neural network |
| Keyword(3) | TMS |
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| 1st Author's Name | Hidekata Hontani |
| 1st Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 2nd Author's Name | Toyohiro Maki |
| 2nd Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 3rd Author's Name | Tatsuya Yokota |
| 3rd Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 4th Author's Name | Illkka Laakso |
| 4th Author's Affiliation | Aalto University (Aalto Univ.) |
| 5th Author's Name | Akimasa Hirata |
| 5th Author's Affiliation | Nagoya Institute of Technology (NITech) |
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| Speaker | Author-1 |
| Date Time | 2019-05-17 15:40:00 |
| Presentation Time | 45 minutes |
| Registration for | EST |
| Paper # | EST2019-7 |
| Volume (vol) | vol.119 |
| Number (no) | no.42 |
| Page | p.29 |
| #Pages | 1 |
| Date of Issue | 2019-05-10 (EST) |
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