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 publication2011 International Symposium on Computational Models for Life Sciences, CMLS-11
Pages178-185
Number of pages8
DOIs
Publication statusPublished - 2011 Jul 13
Event2011 International Symposium on Computational Models for Life Sciences, CMLS-11 - Toyama City, Japan
Duration: 2011 Oct 112011 Oct 13

Publication series

NameAIP Conference Proceedings
Volume1371
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

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

Keywords

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

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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