Solution for MEG inverse problem using Signal Space Separation and Magnetic Field Tomography

Tadashi Kitahara, Satoshi Honda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Magnetic Field Tomography (MFT) is a source localization method for Magnetoencephalography (MEG), a non-invasive method to observe the brain activity. MFT just requires the source to be a linear combination of lead fields that describe the distribution of the sensitivity of each sensor, while other commonly used MEG source localization methods such as equivalent current dipole (ECD) fitting or the beamformer require some more inappropriate assumptions. However, less requirements on the source results in a huge amount of computational load in MFT. In this paper, the reduction of the computational load for MFT was achieved by considering the coefficients of multipolar expansion as the measurements of virtual sensors. These coefficients are obtained by performing Signal Space Separation (SSS) in which the exclusion of external magnetic field generated by the external sensor arrays is enabled. Based on our simulation, the calculation time was reduced from 6 hours to about 10 seconds preserving the source localization ability.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
Pages178-185
Number of pages8
Volume1371
DOIs
Publication statusPublished - 2011
Event2011 International Symposium on Computational Models for Life Sciences, CMLS-11 - Toyama City, Japan
Duration: 2011 Oct 112011 Oct 13

Other

Other2011 International Symposium on Computational Models for Life Sciences, CMLS-11
CountryJapan
CityToyama City
Period11/10/1111/10/13

Fingerprint

tomography
magnetic fields
sensors
coefficients
exclusion
preserving
brain
dipoles
requirements
expansion
sensitivity
simulation

Keywords

  • Inverse problem
  • Magnetic field tomography(MFT)
  • Magnetoencephalography(MEG)
  • Signal space separation(SSS)

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Kitahara, T., & Honda, S. (2011). Solution for MEG inverse problem using Signal Space Separation and Magnetic Field Tomography. In AIP Conference Proceedings (Vol. 1371, pp. 178-185) https://doi.org/10.1063/1.3596641

Solution for MEG inverse problem using Signal Space Separation and Magnetic Field Tomography. / Kitahara, Tadashi; Honda, Satoshi.

AIP Conference Proceedings. Vol. 1371 2011. p. 178-185.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kitahara, T & Honda, S 2011, Solution for MEG inverse problem using Signal Space Separation and Magnetic Field Tomography. in AIP Conference Proceedings. vol. 1371, pp. 178-185, 2011 International Symposium on Computational Models for Life Sciences, CMLS-11, Toyama City, Japan, 11/10/11. https://doi.org/10.1063/1.3596641
Kitahara, Tadashi ; Honda, Satoshi. / Solution for MEG inverse problem using Signal Space Separation and Magnetic Field Tomography. AIP Conference Proceedings. Vol. 1371 2011. pp. 178-185
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