A Modified Nonlinear Optimization Method for MEG Source Localization
Magnetoencephalography (MEG) is a noninvastve technique for investigating neuronal activity in the living human brain, being of good time and spatial resolution. This paper discusses MEGs basic theory. The key question in the analysis is the search for the unknown sources by analysis of the measured magnetic field data. In view of this inverse problem not having the unique solution, adding some restrictions can make the unique inverse solution possible. In this paper, nonlinear optimization methods are used to estimate the dipole parameters. Here, in order to improve the convergent speed and accuracy, we present a new synthesis method. Computer simulation demonstrates the effectiveness of the proposed method.
Hu Jing Hu Jie
College of Information Engineering, Zhejiang University of Technology Hangzhou, China, 310032;Depart First Affiliated Hospital, Zhejiang University College of Medicine Hangzhou, China, 310006
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
1277-1282
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）