Title :
Multi-source localization by genetic algorithm using MEG
Author :
Nagano, Takahiro ; Ohno, Yusuke ; Uesugi, Naoto ; Ikeda, Hitoshi ; Ishiyama, Atsushi ; Kasai, Naoko
Author_Institution :
Dept. of Electr. Electron. & Comput. Eng., Waseda Univ., Tokyo, Japan
fDate :
9/1/1998 12:00:00 AM
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 1 cm
Keywords :
genetic algorithms; magnetoencephalography; MEG; current dipole; genetic algorithm; human brain; multi-source localization; olfactory magnetoencephalography; simulation; Brain modeling; Coils; Density measurement; Genetic algorithms; Laboratories; Magnetic field measurement; Magnetic fields; Magnetic flux density; Olfactory; SQUIDs;
Journal_Title :
Magnetics, IEEE Transactions on
