• DocumentCode
    2193792
  • Title

    Dipole Source Localization in Magnetocardiography

  • Author

    Jiang, Shiqin ; Chi, Ming ; Zhang, Lei ; Luo, Ming ; Wang, Lemin

  • Author_Institution
    Tongji Univ., Shanghai
  • fYear
    2007
  • fDate
    12-14 Oct. 2007
  • Firstpage
    320
  • Lastpage
    322
  • Abstract
    Dipole source localization (DSL) is complicated as it involves solving electromagnetic inverse problems in Magnetocardiography (MCG). The accuracy of the inverse solutions depends upon the adequacy of the forward model and the DSL algorithm used. We have developed two simplified models based on double magnetic dipoles source and a single current dipole source respectively. In this paper, the inverse solutions of DSL using Levenberg-Marquart (LM) algorithm and Nelder-Mead algorithm (NM) were discussed. Numeral simulations were performed using the MCG data generated from two different graphical models, which were reconstructed in terms of the parameter character of the real MCG measurements. An analysis of the average localization error in the ST-T segment at different noise levels and with different initial values was given. Our results indicated that the NM algorithm for both models works effectively in the case of initial values having 10% random noise. Furthermore, the localization accuracy less than 1 mm has been achieved in our research.
  • Keywords
    inverse problems; magnetic moments; magnetocardiography; Levenberg-Marquart algorithm; MCG; Nelder-Mead algorithm; dipole source localization; electromagnetic inverse problems; magnetic dipoles source; magnetocardiography; noise levels; single current dipole source; Biological system modeling; Current measurement; DSL; Graphical models; Humans; Integrated circuit modeling; Inverse problems; Magnetic field measurement; Magnetic resonance imaging; Noise level;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 2007. NFSI-ICFBI 2007. Joint Meeting of the 6th International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-0949-5
  • Electronic_ISBN
    978-1-4244-0949-5
  • Type

    conf

  • DOI
    10.1109/NFSI-ICFBI.2007.4387764
  • Filename
    4387764