Current density reconstruction with multi-scale grid approach

被引：0

作者：

Han, JM ^{[1
]}

Lee, IB ^{[1
]}

Hahm, JH ^{[1
]}

Kim, YJ ^{[1
]}

Park, KS ^{[1
]}

机构：

[1] Seoul Natl Univ, Interdisciplinary Program Biomed Engn, Seoul, South Korea

来源：

PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE | 2001年 / 23卷

关键词：

inverse problem; electroencephalograhpy; current dipole; grid;

D O I：

暂无

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

The computational cost of solving electroencephal o-graphic (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 algorithm 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.

引用

页码：921 / 922

页数：2

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