• DocumentCode
    2961048
  • Title

    Linearly constrained minimum variance beamformers, synthetic aperture magnetometry, and MUSIC in MEG applications

  • Author

    Vrba, J. ; Robinson, S.E.

  • Author_Institution
    CTF Syst. Inc., Port Coquitlam, BC, Canada
  • Volume
    1
  • fYear
    2000
  • fDate
    Oct. 29 2000-Nov. 1 2000
  • Firstpage
    313
  • Abstract
    MUSIC and minimum variance beamformers operated without specific determination of the source orientation (LCMV) or including the orientation (SAM) are methods for discriminating among uncorrelated MEG sources by point-by-point search through the brain volume. Both beamformer types give similar dipole positions, however SAM exhibits better spatial resolution than the LCMV. For spontaneous brain activity when averaging is not possible and in the presence of multiple sources, SAM performs well, while MUSIC is sensitive to the subspace partitioning, and no clear indication about the correct partitioning can be obtained from the eigenspectra.
  • Keywords
    covariance matrices; inverse problems; magnetoencephalography; medical signal processing; signal classification; signal resolution; MUSIC; covariance matrix; dipole positions; eigenspectra; linearly constrained minimum variance beamformers; multiple signal classification; multiple sources; spatial resolution; spontaneous brain activity; subspace partitioning; synthetic aperture magnetometry; uncorrelated MEG sources; Analytical models; Brain modeling; Covariance matrix; Epilepsy; Imaging phantoms; Multiple signal classification; Noise measurement; Power measurement; Signal to noise ratio; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-6514-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2000.910969
  • Filename
    910969