Title :
Analysis of the MEG source localization method combining signal space separation and magnetic field tomography
Author :
Kitahara, Tadashi ; Honda, Satoshi
Author_Institution :
Grad. Sch. of Sci. & Technol., Keio Univ., Fujisawa, Japan
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 :
magnetoencephalography; medical signal processing; neurophysiology; numerical analysis; signal denoising; MEG source localization method; Tikhonov regularization; localization ability; magnetic field tomography; massive computational loading; noise; numerical simulation; regularization method; signal space separation; Estimation; Indexes; Inverse problems; Lead; Magnetic separation; Tomography; Magnetic Field Tomography (MFT); Magnetoencephalography (MEG); Signal Space Separation (SSS);
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8
