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
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;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1
