• DocumentCode
    88577
  • Title

    Practical Realization of Magnetic Resonance Conductivity Tensor Imaging (MRCTI)

  • Author

    Degirmenci, Erdem ; Eyuboglu, B. Murat

  • Author_Institution
    Middle East Tech. Univ., Ankara, Turkey
  • Volume
    32
  • Issue
    3
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    601
  • Lastpage
    608
  • Abstract
    Magnetic resonance conductivity tensor imaging (MRCTI) is an emerging modality which reconstructs images of anisotropic conductivity distribution within a volume conductor. Images are reconstructed based on magnetic flux density distribution induced by an externally applied probing current, together with a resultant surface potential value. The induced magnetic flux density distribution is measured using magnetic resonance current density imaging techniques. In this study, MRCTI data acquisition is experimentally implemented and anisotropic conductivity images of test phantoms are reconstructed using recently proposed MRCTI reconstruction algorithms.
  • Keywords
    bioelectric potentials; biomedical MRI; data acquisition; image reconstruction; magnetic flux; medical image processing; phantoms; surface potential; MRI; anisotropic conductivity distribution; data acquisition; externally applied probing current; image reconstruction; magnetic flux density distribution; magnetic resonance conductivity tensor imaging; magnetic resonance current density imaging; phantoms; resultant surface potential value; volume conductor; Conductivity; Current density; Density measurement; Image reconstruction; Magnetic flux density; Phantoms; Anisotropic conductivity; conductivity tensor; electrical impedance; imaging; magnetic resonance; reconstruction; tomography; Electric Conductivity; Electric Impedance; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Phantoms, Imaging;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2012.2231872
  • Filename
    6376207