Iterative minimum norm methods for MEG inverse problem

Tadashi Kitahara, Satoshi Honda

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

Abstract

Magnetoencephalography (MEG) is one of the non-invasive monitoring methods developed for monitoring the human brain activities. Among large numbers of algorithms developed to solve the MEG inverse proplem, this paper focues on the class of weighted minimum norm (WMN) methods with which less prior information of sources is required, and modifications for each of so-called magnetic field tomography (MFT) and source affine image reconstruction (SAFFIRE) are described.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages2039-2044
Number of pages6
ISBN (Print)9781467322591
Publication statusPublished - 2012 Jan 1
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012 Aug 202012 Aug 23

Publication series

NameProceedings of the SICE Annual Conference

Other

Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
CountryJapan
CityAkita
Period12/8/2012/8/23

Keywords

  • MEG
  • Magnetic field tomography
  • SAFFIRE

ASJC Scopus subject areas

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

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  • Cite this

    Kitahara, T., & Honda, S. (2012). Iterative minimum norm methods for MEG inverse problem. In 2012 Proceedings of SICE Annual Conference, SICE 2012 (pp. 2039-2044). [6318348] (Proceedings of the SICE Annual Conference). Society of Instrument and Control Engineers (SICE).