TY - GEN
T1 - Iterative minimum norm methods for MEG inverse problem
AU - Kitahara, Tadashi
AU - Honda, Satoshi
PY - 2012/1/1
Y1 - 2012/1/1
N2 - 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.
AB - 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.
KW - MEG
KW - Magnetic field tomography
KW - SAFFIRE
UR - http://www.scopus.com/inward/record.url?scp=84869387337&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:84869387337
SN - 9781467322591
T3 - Proceedings of the SICE Annual Conference
SP - 2039
EP - 2044
BT - 2012 Proceedings of SICE Annual Conference, SICE 2012
PB - Society of Instrument and Control Engineers (SICE)
T2 - 2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
Y2 - 20 August 2012 through 23 August 2012
ER -