• DocumentCode
    534623
  • Title

    A simulation study on induced current magnetic resonance electrical impedance tomography of anisotropic brain tissues

  • Author

    Liu, Yang ; Dai, Songshi

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Xiamen Univ. of Technol., Xiamen, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    75
  • Lastpage
    77
  • Abstract
    An induced current magnetic resonance electrical conductivity tomography (IC-MREIT) algorithm was developed to reconstruct the anisotropic electrical conductivity distribution of the human brain. The IC-MREIT J-substitution algorithm was adopted to reconstruct isotropic conductivity which was used as the initial information to reconstruct the anisotropic conductivity distribution iteratively. The simulation results conducted on a three-sphere head model suggest that the proposed algorithm can reconstruct the anisotropic conductivity distribution of brain tissues with good accuracy and is robust to measurement noise.
  • Keywords
    biological tissues; biomedical MRI; brain; electric impedance imaging; electrical conductivity; neurophysiology; J-substitution algorithm; anisotropic brain tissues; anisotropic conductivity distribution; anisotropic electrical conductivity distribution; human brain; induced current magnetic resonance electrical conductivity tomography algorithm; induced current magnetic resonance electrical impedance tomography; isotropic conductivity; noise; three-sphere head model; Brain modeling; Conductivity; Head; Image reconstruction; Impedance; Magnetic resonance; Tomography; anisotropic conductivity; brain tissue; induced current magnetic resonance electrical impedance tomography; magnetic resonance electrical impedance tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639651
  • Filename
    5639651