DocumentCode
575190
Title
Iterative minimum norm methods for MEG inverse problem
Author
Kitahara, Tadashi ; Honda, Satoshi
Author_Institution
Dept. of Appl. Phys. & Physico-Inf., Keio Univ., Yokohama, Japan
fYear
2012
fDate
20-23 Aug. 2012
Firstpage
2039
Lastpage
2044
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.
Keywords
image reconstruction; inverse problems; iterative methods; magnetoencephalography; medical image processing; tomography; MEG inverse problem; MFT; SAFFIRE; human brain activity monitoring; iterative minimum norm methods; magnetic field tomography; magnetoencephalography; noninvasive monitoring method; source affine image reconstruction; weighted minimum norm method; Current distribution; Equations; Estimation; Inverse problems; Magnetic resonance imaging; Mathematical model; Noise; MEG; Magnetic field tomography; SAFFIRE;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location
Akita
ISSN
pending
Print_ISBN
978-1-4673-2259-1
Type
conf
Filename
6318348
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