| Presentation | 2021-05-17 [Short Paper] Regression of Induced Electric Field for TMS by using Neural Network and Governing Equation Toyohiro Maki, Yoshikazu Ugawa, Takenobu Murakami, Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Neural Network / Transcranial Magnetic Stimulation / Magnetic Resonance Image / Electric Field Estimation |
| Paper # | MI2021-1 |
| Date of Issue | 2021-05-10 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2021/5/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | On-Line |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Processing, etc |
| Chair | Yoshiki Kawata(Tokushima Univ.) |
| Vice Chair | Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.) |
| Secretary | Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo) |
| Assistant | Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Medical Imaging |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] 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 |
| 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) |
| Date | 2021-05-17 |
| Paper # | MI2021-1 |
| Volume (vol) | vol.121 |
| Number (no) | MI-21 |
| Page | pp.pp.1-2(MI), |
| #Pages | 2 |
| Date of Issue | 2021-05-10 (MI) |