| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2019-05-17 11:20 Personalized head models from MRI using convolutional neural networks Essam Rashed, Jose Gomez-Tames, Akimasa Hirata (NITech)  EST2019-3 Link to ES Tech. Rep. Archives: EST2019-3 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Transcranial magnetic stimulation (TMS) is a non-invasive clinical technique used for treatment of several neurological diseases. The brain induced electric field is known for inter- /intra- subject variabilities, which make it difficult to accurately adjust TMS parameters for different subjects. Therefore, a computer simulation is frequently used to simulate different TMS setups using models generated from anatomical images (e.g. MRI) of the examined subject. Human head models are generated by segmentation of MRI images into different anatomical tissues with isotropic electric conductivity each. This process is time-consuming and requires a special experience to segment a relatively large number of tissues. In this paper, we propose a deep convolution neural network for human head segmentation that is convenient for simulation of electrical field distribution, such as TMS. The proposed network is used to generate personalized head models from MRI with high accuracy. Results indicate that the personalized head models generated using the proposed method demonstrate strong matching with those achieved from manually segmented ones. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Convolutional neural network / deep learning / image segmentation / transcranial magnetic stimulation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 42, EST2019-3, pp. 9-12, May 2019. | |
| Paper # | EST2019-3 | |
| 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 | EST2019-3 Link to ES Tech. Rep. Archives: EST2019-3 |
|
| 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 | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Personalized head models from MRI using convolutional neural networks |
| Sub Title (in English) | |
| Keyword(1) | Convolutional neural network |
| Keyword(2) | deep learning |
| Keyword(3) | image segmentation |
| Keyword(4) | transcranial magnetic stimulation |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Essam Rashed |
| 1st Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 2nd Author's Name | Jose Gomez-Tames |
| 2nd Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 3rd Author's Name | Akimasa Hirata |
| 3rd Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2019-05-17 11:20:00 |
| Presentation Time | 25 minutes |
| Registration for | EST |
| Paper # | EST2019-3 |
| Volume (vol) | vol.119 |
| Number (no) | no.42 |
| Page | pp.9-12 |
| #Pages | 4 |
| Date of Issue | 2019-05-10 (EST) |
[Return to Top Page]