利用結(jié)合局域優(yōu)化的遺傳算法求解腦磁逆問題
Genetic algorithm combined with local optimization in MEG\s inverse solution
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摘要: 腦磁逆問題的求解是腦磁研究中的一個(gè)關(guān)鍵問題，其中對多電流偶極子源參數(shù)的推斷一般采用非線性全局優(yōu)化方法，但收斂速率較慢。為提高計(jì)算速率，該文采用結(jié)合局域優(yōu)化的遺傳算法，既克服了局域優(yōu)化的局部極小問題，又可以加快收斂速率，基于真實(shí)頭模型的仿真計(jì)算表明該方法是有效的。
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關(guān)鍵詞:
- 腦磁圖;逆問題;優(yōu)化法;邊界元法
Abstract: MEGs inversion is an important aspect in MEG studies. Generally, global optimization methods are usually used on estimating parameters of multidipole source, but these methods are of low convergence speed. To increase the computing speed, a strategy based on genetic algorithm combined with local optimization is adopted. This method has the ability of overcoming the problem of local minima, and has fast convergence speed. Computer simulation with real brain-shaped head model demonstrated the efficiency of the proposed strategy. -
M. Hamalainen, R. Hari, et al., Magnetoencephalography theory, instrumentation, and applications to noninvasive studies of the working human brain, Rev. Mod. Phys, 1993, 65(2), 413-497.[2]R. Hari, O. V. Lounasmaa, Recording and interpretation of cerebral magnetic fields.[J]. Science.1989,244:432-[3]N. Forss, Magnetoencephalography..(MEG) in epilepsy surgery , ActaNeurochur, [suppl], 1997,58, 81-84.[4]B.N. Cuffin, Effects of fissures in the brain on electroencephalograms and magnetoencephalograms, J. Appl. Phys, 1985, 57(1), 146-153.[5]K. Uutela, M. Hamalainen, R. Salmelin,Global optimization in the localization of neuromagnetic sources, IEEE Trans. on Biomed. Eng., 1998, 45(6), 716-723.[6]M. Hamalainen, J. Sarvas, Feasibility of the homogeneous head model in the interpretation of neuromagnetic fields, Phys. Med. Biol., 1987, 32(1), 91-97.[7]J.C. Mosher, R. M. Leahy, P. S. Lewis, EEG and MEG: Forward solutions for inverse methods.IEEE Trans. on Biomed. Eng., 1999, 46(3), 245-259. -
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