Advanced Search
Volume 23 Issue 10
Oct.  2001
Turn off MathJax
Article Contents
Huo Xiaolin, Lou Zhengguo, Li Jun, Wang Yuanmei. A METHOD OF LOCALIZATION OF MEG BASED ON THE MINIMUM-DIPOLE SOLUTIONS[J]. Journal of Electronics & Information Technology, 2001, 23(10): 937-942.
Citation: Huo Xiaolin, Lou Zhengguo, Li Jun, Wang Yuanmei. A METHOD OF LOCALIZATION OF MEG BASED ON THE MINIMUM-DIPOLE SOLUTIONS[J]. Journal of Electronics & Information Technology, 2001, 23(10): 937-942.

A METHOD OF LOCALIZATION OF MEG BASED ON THE MINIMUM-DIPOLE SOLUTIONS

  • Received Date: 1999-10-15
  • Rev Recd Date: 2000-04-07
  • Publish Date: 2001-10-19
  • The localization of multiple current dipoles is a difficult problem for the inverse study of MEG. A method of localization of multiple current dipoles based on the minimum-dipole number solutions is investigated. The revised simulated annealing algorithm as the optimization strategy is used in the simulation experiment. The result shows that the method is efficient to the localization of multiple current dipoles.
  • loading
  • Matti Hamalaien, et al., Magnetoencephalography-Theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev. Mod. Phys, 1993, 65(2), 413-497.[2]B. N. Cuffin, Biomagnetism: Applications and Theory, H. Weinberg, G. Stroink, T. Katila, Eds New York, Pergamon, 1985, 9-18.[3]Jukka Sarvas, Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem, Phys. Med. Biol, 1987, 32(1), 11-22.[4]Kensuke Sekihara, Maximum-likelihood estimation of current-dipole parameters for data obtained using multichannel magnetometer, IEEE Trans. on Biomed. Eng., 1992, 39(6), 558-561.[5]Kensuke Sekihara, Details of simulated annealing algorithm to estimate parameters of multiple current dipoles using biomagnetic data, IEEE Trans. on Med. Imaging, 1992, 11(2), 293 299.[6]Hideaki Haneishi, et al., Multiple current dipole estimation using simulated annealing, IEEE Trans. on Biomed. Eng, 1994, 41(11), 1004-1009.[7]S. Kirkpatrick, et al., Optimization by simulated annealing.[J]. Science.1983,220:671-[8]康立山等.非数值并行算法(第一册),北京,科学出版社,1997,169-192.[9]杨若黎等,一种高效的模拟退火全局优化算法,系统工程与实践,1997,33(5),29-35.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2015) PDF downloads(429) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return