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

fYear

2011

fDate

13-18 Sept. 2011

Firstpage

2341

Lastpage

2344

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);

fLanguage

English

Publisher

ieee

Conference_Titel

SICE Annual Conference (SICE), 2011 Proceedings of

Conference_Location

Tokyo

ISSN

pending

Print_ISBN

978-1-4577-0714-8

Type

conf

Filename

6060365