Multi-source localization by genetic algorithm using MEG

Takahiro Nagano; Yusuke Ohno; Naoto Uesugi; Hitoshi Ikeda; Atsushi Ishiyama; Naoko Kasai

doi:10.1109/20.717694

Multi-source localization by genetic algorithm using MEG

Takahiro Nagano^*, Yusuke Ohno, Naoto Uesugi, Hitoshi Ikeda, Atsushi Ishiyama, Naoko Kasai

^*Corresponding author for this work

School of Advanced Science and Engineering

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

Abstract

We developed a method to estimate multi-dipole sources in human brain by using Genetic Algorithm for source localization of the olfactory magnetoencephalography (MEG). Two current dipoles in each hemisphere of the brain are supposed as a source model. To investigate the ability of this method, source localization in simulation was performed by the presented method. As a result, if the noise level is restricted under 2 percent (S/N = 20), the source localization of the simulation was obtained with the error less than 1cm.

Original language	English
Pages (from-to)	2972-2975
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	34
Issue number	5 PART 1
DOIs	https://doi.org/10.1109/20.717694
Publication status	Published - 1998

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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AU - Nagano, Takahiro

AU - Ohno, Yusuke

AU - Uesugi, Naoto

AU - Ikeda, Hitoshi

AU - Ishiyama, Atsushi

AU - Kasai, Naoko

PY - 1998

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AB - We developed a method to estimate multi-dipole sources in human brain by using Genetic Algorithm for source localization of the olfactory magnetoencephalography (MEG). Two current dipoles in each hemisphere of the brain are supposed as a source model. To investigate the ability of this method, source localization in simulation was performed by the presented method. As a result, if the noise level is restricted under 2 percent (S/N = 20), the source localization of the simulation was obtained with the error less than 1cm.

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JF - IEEE Transactions on Magnetics

IS - 5 PART 1

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Multi-source localization by genetic algorithm using MEG

Abstract

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