• DocumentCode
    863012
  • Title

    Noninvasive Imaging of Head-Brain Conductivity Profiles

  • Author

    Xiaotong Zhang ; Dandan Yan ; Shanan Zhu ; Bin He

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou
  • Volume
    27
  • Issue
    5
  • fYear
    2008
  • Firstpage
    78
  • Lastpage
    83
  • Abstract
    Magnetic resonance electrical impedance tomography (MREIT) is a recently introduced noninvasive conductivity imaging modality, which combines the magnetic resonance current density imaging (MRCDI) and the traditional electrical impedance tomography (EIT) techniques. MREIT is aimed at providing high-spatial-resolution images of electrical conductivity because it avoids solving the well-known ill-posed problem in the traditional EIT. In this article, we review our research activities in MREIT imaging of head-brain tissue conductivity profiles. We have developed several imaging algorithms and conducted a series of computer simulations for MREIT imaging of the head-brain tissues. Our work suggests that MREIT brain imaging may become a useful tool in imaging conductivity distributions of the brain and head.
  • Keywords
    bioelectric potentials; biomedical MRI; brain; electric impedance imaging; electrical conductivity; MREIT imaging; electrical conductivity; head-brain conductivity profiles; magnetic resonance current density imaging; magnetic resonance electrical impedance tomography; noninvasive conductivity imaging; Computer simulation; Conductivity; Current density; Humans; Impedance; Magnetic field measurement; Magnetic flux density; Magnetic heads; Magnetic resonance imaging; Tomography; Brain; Brain Mapping; Electric Conductivity; Head; Humans; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Plethysmography, Impedance;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/MEMB.2008.923953
  • Filename
    4625403