Current density reconstruction with multi-scale grid approach

Author

Han, J.-M. ; Lee, I.B. ; Hahm, J.H. ; Kim, Y.J. ; Park, K.S.

Author_Institution

Inst. of Biomed. Eng., Seoul Nat. Univ., South Korea

Volume

1

fYear

2001

fDate

2001

Firstpage

921

Abstract

The computational cost of solving an electroencephalographic (EEG) or magnetoencephalographic (MEG) inverse problem is extremely high due to the inversion of a matrix configured with a priori information. The matrix size is proportional to the number of points in source grid. We present a multi-scale grid approach to solve the inverse problem using FOCUSS algorithms which is one of the current density reconstruction (CDR) methods and tested the algorithm with simulated EEG data. The multi-scale grid approach dramatically reduces grid points without loss of the resolution.

Keywords

current density; electroencephalography; inverse problems; magnetoencephalography; medical signal processing; signal reconstruction; EEG inverse problem; FOCUSS algorithms; MEG inverse problem; a priori information; computational cost; current density reconstruction; electrodiagnostics; grid points reduction; multi-scale grid approach; simulated EEG data; Biomedical engineering; Biomedical measurements; Brain modeling; Current density; Current measurement; Electroencephalography; Inverse problems; Magnetic field measurement; Magnetic heads; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1019097

Filename

1019097