Presentation 2008-03-12
A Point-source Fidelity Solution of Bioelectromagnetic Inverse Problem
Yasushi TERAZONO, Ayumu MATANI, Norio FUJIMAKI,
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Abstract(in English) Bioelectromagnetic inverse problem is one of the primal issues in the analysis of noninvasive bioelectromagnetic measurements like MEG and EEG. It is an estimation of current source distribution in the brain given measured data. We introduce an estimation method suitable for sparse sources. The method assures correct reconstruction of any point-source in vector fields. It is an extension of conventional weighted l_1-norm minimization to appropriately evaluate vector fields, and can be expressed as an second order cone programming. Correct reconstruction of point-sources with the proposed method is mathematically proved, and numerical comparison between the proposed and conventional method is shown.
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Keyword(in English) inverse problem / MEG / sparse / norm / vector field / point-source / fidelity
Paper # NC2007-116
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Committee NC
Conference Date 2008/3/5(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Point-source Fidelity Solution of Bioelectromagnetic Inverse Problem
Sub Title (in English)
Keyword(1) inverse problem
Keyword(2) MEG
Keyword(3) sparse
Keyword(4) norm
Keyword(5) vector field
Keyword(6) point-source
Keyword(7) fidelity
1st Author's Name Yasushi TERAZONO
1st Author's Affiliation NiCT Kobe Advanced Research Center()
2nd Author's Name Ayumu MATANI
2nd Author's Affiliation Graduate School of Frontier Sciences, the University of Tokyo
3rd Author's Name Norio FUJIMAKI
3rd Author's Affiliation NiCT Kobe Advanced Research Center
Date 2008-03-12
Paper # NC2007-116
Volume (vol) vol.107
Number (no) 542
Page pp.pp.-
#Pages 6
Date of Issue