• DocumentCode
    1558747
  • Title

    Inversion of simulated evoked potentials to charge distribution inside the human brain using an algebraic reconstruction technique

  • Author

    Uzunoglu, N.K. ; Ventouras, E. ; Papageorgiou, C. ; Rabavilas, A. ; Stefanis, C.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tech. Univ. of Athens, Greece
  • Volume
    10
  • Issue
    3
  • fYear
    1991
  • fDate
    9/1/1991 12:00:00 AM
  • Firstpage
    479
  • Lastpage
    484
  • Abstract
    An analytic method is presented to estimate the evolution of electrical charge distribution inside the human brain related to the evoked potentials observed on the head surface. A three-layer concentric spherical human head model is adopted to express the relation between the observed potentials on the head surface and the spatial charge distribution inside the brain. An integral equation associated with the three-layer concentric head model Green´s function is employed. Assuming the electric potentials are measured on the head surface, the charge distributions inside the human brain are computed by solving an inverse problem. The Green´s function integral equation is inverted by using an algebraic reconstruction technique widely employed in X-ray tomography imaging. The accuracy of the proposed technique is examined by employing computer simulations and by checking the self-consistency of the algorithm
  • Keywords
    bioelectric potentials; brain models; 3-layer concentric spherical human head model; Green´s function; X-ray tomography imaging; algebraic reconstruction technique; algorithm self-consistency; human brain charge distribution; integral equation; simulated evoked potentials inversion; spatial charge distribution; Brain modeling; Charge measurement; Current measurement; Electric potential; Electric variables measurement; Green´s function methods; Head; Humans; Integral equations; Surface reconstruction;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.97599
  • Filename
    97599