| Presentation | 2010-03-09 Construction of head voxel models for EEG source estimation : Automated noise threshold identification of MR images based on the EM algorithm Teruyoshi SASAYAMA, Tomoaki IIDA, Takenori OIDA, Shoji HAMADA, Tetsuo KOBAYASHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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 EEC distributions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Key words electroencephalogram (EEC) / magnetic resonance imaging (MRI) / EM (Expectation-Maximization) algorithm / source estimation / brain-machine interface (BMI) |
| Paper # | NC2009-98 |
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| Committee | NC |
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| Conference Date | 2010/3/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| 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 : Automated noise threshold identification of MR images based on the EM algorithm |
| Sub Title (in English) | |
| Keyword(1) | Key words electroencephalogram (EEC) |
| Keyword(2) | magnetic resonance imaging (MRI) |
| Keyword(3) | EM (Expectation-Maximization) algorithm |
| Keyword(4) | source estimation |
| Keyword(5) | brain-machine interface (BMI) |
| 1st Author's Name | Teruyoshi SASAYAMA |
| 1st Author's Affiliation | Graduate School of Engineering, Kyoto University:Japan Society for the Promotion of Science() |
| 2nd Author's Name | Tomoaki IIDA |
| 2nd Author's Affiliation | Graduate School of Engineering, Kyoto University |
| 3rd Author's Name | Takenori OIDA |
| 3rd Author's Affiliation | Graduate School of Engineering, Kyoto University |
| 4th Author's Name | Shoji HAMADA |
| 4th Author's Affiliation | Graduate School of Engineering, Kyoto University |
| 5th Author's Name | Tetsuo KOBAYASHI |
| 5th Author's Affiliation | Graduate School of Engineering, Kyoto University |
| Date | 2010-03-09 |
| Paper # | NC2009-98 |
| Volume (vol) | vol.109 |
| Number (no) | 461 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |