• DocumentCode
    545996
  • Title

    Hybridized axonal field model for signal estimation in magnetic resonance imaging

  • Author

    Anwar, Syed Muhammad ; Cook, Greg ; Paley, Martyn

  • Author_Institution
    Commun. Res. Group, Univ. of Sheffield, Sheffield, UK
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    1300
  • Lastpage
    1303
  • Abstract
    The aim of this study is to computationally estimate local magnetic fields from evoked axons to support previously reported experimental evidence of direct neuronal detection (DND) of axonal firing using magnetic resonance imaging (MRI). The hypothesis tested is that the fields resulting from the electrical activity of axons can perturb the main field of the scanner, thereby producing visible image artefacts so that direct imaging of brain functioning may be possible. In this work magnetic fields are calculated for multiple axons using a hybrid model of the electro-physiological parameters of the human optic nerve and a complete 3 dimensional solution of the differential form of Poisson´s equation.
  • Keywords
    Poisson equation; biomedical MRI; magnetic fields; medical image processing; DND; MRI; Poisson equation; axonal firing; brain functioning; direct neuronal detection; electro-physiological parameter; human optic nerve; hybridized axonal field model; local magnetic field estimation; magnetic resonance imaging; signal estimation; Brain modeling; Computational modeling; Equations; Magnetic resonance imaging; Mathematical model; Nerve fibers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EUCAP), Proceedings of the 5th European Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4577-0250-1
  • Type

    conf

  • Filename
    5781745