Analysis of the MEG source localization method combining 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 MEG localization method which requires least inappropriate assumptions but most computational load. To reduce the massive computational load of MFT, the combination method of MFT with Signal Space Separation (SSS) was proposed in our previous work. In this paper, the localization ability of the combination of MFT and SSS (MFT+SSS) is evaluated more precisely. Simple Numerical simulations revealed the improvement of the localization of MFT+SSS. Besides that, weighted Tikhonov regularization for the ill-posed SSS inversion is proposed. This regularization method establishes a remarkable robustness against the measurement noise.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages2341-2344
Number of pages4
Publication statusPublished - 2011
Event50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011 - Tokyo, Japan
Duration: 2011 Sep 132011 Sep 18

Other

Other50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011
CountryJapan
CityTokyo
Period11/9/1311/9/18

Fingerprint

Tomography
Magnetic fields
Computer simulation

Keywords

  • Magnetic Field Tomography (MFT)
  • Magnetoencephalography (MEG)
  • Signal Space Separation (SSS)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Kitahara, T., & Honda, S. (2011). Analysis of the MEG source localization method combining signal space separation and magnetic field tomography. In Proceedings of the SICE Annual Conference (pp. 2341-2344). [6060365]

Analysis of the MEG source localization method combining signal space separation and magnetic field tomography. / Kitahara, Tadashi; Honda, Satoshi.

Proceedings of the SICE Annual Conference. 2011. p. 2341-2344 6060365.

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

Kitahara, T & Honda, S 2011, Analysis of the MEG source localization method combining signal space separation and magnetic field tomography. in Proceedings of the SICE Annual Conference., 6060365, pp. 2341-2344, 50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011, Tokyo, Japan, 11/9/13.
Kitahara T, Honda S. Analysis of the MEG source localization method combining signal space separation and magnetic field tomography. In Proceedings of the SICE Annual Conference. 2011. p. 2341-2344. 6060365
Kitahara, Tadashi ; Honda, Satoshi. / Analysis of the MEG source localization method combining signal space separation and magnetic field tomography. Proceedings of the SICE Annual Conference. 2011. pp. 2341-2344
@inproceedings{6623508fdb07443588228519ac1c9618,
title = "Analysis of the MEG source localization method combining signal space separation and magnetic field tomography",
abstract = "Magnetic Field Tomography (MFT) is a MEG localization method which requires least inappropriate assumptions but most computational load. To reduce the massive computational load of MFT, the combination method of MFT with Signal Space Separation (SSS) was proposed in our previous work. In this paper, the localization ability of the combination of MFT and SSS (MFT+SSS) is evaluated more precisely. Simple Numerical simulations revealed the improvement of the localization of MFT+SSS. Besides that, weighted Tikhonov regularization for the ill-posed SSS inversion is proposed. This regularization method establishes a remarkable robustness against the measurement noise.",
keywords = "Magnetic Field Tomography (MFT), Magnetoencephalography (MEG), Signal Space Separation (SSS)",
author = "Tadashi Kitahara and Satoshi Honda",
year = "2011",
language = "English",
isbn = "9784907764395",
pages = "2341--2344",
booktitle = "Proceedings of the SICE Annual Conference",

}

TY - GEN

T1 - Analysis of the MEG source localization method combining signal space separation and magnetic field tomography

AU - Kitahara, Tadashi

AU - Honda, Satoshi

PY - 2011

Y1 - 2011

N2 - Magnetic Field Tomography (MFT) is a MEG localization method which requires least inappropriate assumptions but most computational load. To reduce the massive computational load of MFT, the combination method of MFT with Signal Space Separation (SSS) was proposed in our previous work. In this paper, the localization ability of the combination of MFT and SSS (MFT+SSS) is evaluated more precisely. Simple Numerical simulations revealed the improvement of the localization of MFT+SSS. Besides that, weighted Tikhonov regularization for the ill-posed SSS inversion is proposed. This regularization method establishes a remarkable robustness against the measurement noise.

AB - Magnetic Field Tomography (MFT) is a MEG localization method which requires least inappropriate assumptions but most computational load. To reduce the massive computational load of MFT, the combination method of MFT with Signal Space Separation (SSS) was proposed in our previous work. In this paper, the localization ability of the combination of MFT and SSS (MFT+SSS) is evaluated more precisely. Simple Numerical simulations revealed the improvement of the localization of MFT+SSS. Besides that, weighted Tikhonov regularization for the ill-posed SSS inversion is proposed. This regularization method establishes a remarkable robustness against the measurement noise.

KW - Magnetic Field Tomography (MFT)

KW - Magnetoencephalography (MEG)

KW - Signal Space Separation (SSS)

UR - http://www.scopus.com/inward/record.url?scp=81255150914&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=81255150914&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:81255150914

SN - 9784907764395

SP - 2341

EP - 2344

BT - Proceedings of the SICE Annual Conference

ER -