• DocumentCode
    1402847
  • Title

    Imaging Electric Properties of Biological Tissues by RF Field Mapping in MRI

  • Author

    Zhang, Xiaotong ; Zhu, Shanan ; He, Bin

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    29
  • Issue
    2
  • fYear
    2010
  • Firstpage
    474
  • Lastpage
    481
  • Abstract
    The electric properties (EPs) of biological tissue, i.e., the electric conductivity and permittivity, can provide important information in the diagnosis of various diseases. The EPs also play an important role in specific absorption rate calculation, a major concern in high-field MRI, as well as in nonmedical areas such as wireless telecommunications. The high-field MRI system is accompanied by significant wave propagation effects, and the RF radiation is dependent on the EPs of biological tissue. On the basis of the measurement of the active transverse magnetic component of the applied RF field (known as B1-mapping technique), we propose a dual-excitation algorithm, which uses two sets of measured B1 data to noninvasively reconstruct the EPs of biological tissues. The finite-element method was utilized in 3-D modeling and B1 field calculation. A series of computer simulations were conducted to evaluate the feasibility and performance of the proposed method on a 3-D head model within a TEM coil and a birdcage coil. Using a TEM coil, when noise free, the reconstructed EP distribution of tissues in the brain has relative errors of 12%-28% and correlated coefficients of greater than 0.91. Compared with other B1-mapping-based reconstruction algorithms, our approach provides superior performance without the need for iterative computations. The present simulation results suggest that good reconstruction of EPs from B1 mapping can be achieved.
  • Keywords
    bioelectric phenomena; biological tissues; biomagnetism; biomedical MRI; brain; electrical conductivity; finite element analysis; image reconstruction; medical image processing; permittivity; 3-D head model; 3-D modeling; B1 field calculation; MRI; RF field mapping; TEM coil; biological tissues; birdcage coil; brain; disease diagnosis; dual-excitation algorithm; electric conductivity; finite-element method; image reconstruction; permittivity; specific absorption rate calculation; Biological tissues; Coils; Conductivity; Diseases; Finite element methods; Image reconstruction; Magnetic field measurement; Magnetic resonance imaging; Permittivity; Radio frequency; ${rm B}_{1}$-mapping; electric properties (EPs); electrical impedance imaging; magnetic resonance electric properties tomography (MREPT); Algorithms; Artifacts; Brain; Cerebrospinal Fluid; Computer Simulation; Electric Impedance; Electrophysiology; Finite Element Analysis; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Radio Waves; Scalp; Skull;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2009.2036843
  • Filename
    5405651