• DocumentCode
    913556
  • Title

    A modified linear estimation approach for solving biomagnetic inverse problems

  • Author

    Brauer, Hartmut ; Kosch, Olaf ; Tenner, Uwe ; Wiechmann, Heiko ; Arlt, Anne

  • Author_Institution
    Tech. Univ. Ilmenau, Germany
  • Volume
    32
  • Issue
    3
  • fYear
    1996
  • fDate
    5/1/1996 12:00:00 AM
  • Firstpage
    1298
  • Lastpage
    1301
  • Abstract
    A computer simulation study of the biomagnetic inverse problem was performed. A realistically shaped, multi-compartment boundary element model of the human body was used to localize dipolar current sources within the heart. The minimum-norm solution of the often used Linear Estimation Approach (LEA) was modified to improve localization accuracy. By multiplying the lead field matrix with two new weighting matrices and implementing a procedure for shifting the reconstructed current dipoles the authors could avoid the well-known blurring effect which can be observed if the common LEA is used. The new modified linear estimation approach (MLEA) was applied to localization of different dipole configurations. It can be used to reconstruct volume sources as well
  • Keywords
    biomagnetism; boundary-elements methods; digital simulation; inverse problems; physiological models; biomagnetic inverse problems; blurring effect; computer simulation study; dipolar current sources localization; dipole configurations localization; human body; lead field matrix; modified linear estimation approach; realistically shaped multicompartment boundary element model; reconstructed current dipoles shifting; volume sources reconstruction; weighting matrices; Bioelectric phenomena; Biological system modeling; Biomagnetics; Computer simulation; Conductivity; Current density; Electric potential; Estimation theory; Heart; Humans; Inverse problems; Magnetic field measurement; Magnetic fields;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.497483
  • Filename
    497483