• DocumentCode
    2705945
  • Title

    Three dimensional MREIT for breast cancer detection on open MRI scanners

  • Author

    Li, Gang ; Chen, Ruijuan ; Hao, Liling ; Lin, Ling

  • Author_Institution
    State Key Lab. of Precision Meas., Technol. & Instrum, Tianjin Univ., Tianjin, China
  • fYear
    2012
  • fDate
    6-8 June 2012
  • Firstpage
    446
  • Lastpage
    450
  • Abstract
    Magnetic resonance electrical impedance tomography (MREIT) is a novel, noninvasive functional imaging technology that is hopeful to be applied in the diagnosis of early breast cancer. Based on the Open MRI scanners with a vertical magnetic field, the sensitivity reconstruction algorithm is developed to three dimensional space for MREIT. To cut down the computing time, the sensitivity matrix equation is solved by the Generalized Minimal Residual Krylov method for breast imaging. Simulation results with a hemisphere model show the validity and precision of the reconstruction. Phantom results based on an Open 0.36T MRI scanner show a promising application prospect for breast cancer detection by Open MREIT.
  • Keywords
    biomedical MRI; cancer; electric impedance imaging; image reconstruction; matrix algebra; medical image processing; object detection; breast cancer detection; breast cancer diagnosis; breast imaging; generalized minimal residual Krylov method; hemisphere model; magnetic resonance electrical impedance tomography; noninvasive functional imaging technology; open MRI scanners; sensitivity matrix equation; sensitivity reconstruction algorithm; three dimensional MREIT; vertical magnetic field; Breast cancer; Conductivity; Image reconstruction; Impedance; Magnetic resonance imaging; Open MRI; breast cancer; magnetic resonance electrical impedance tomography; three dimensional imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2012 International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4673-2238-6
  • Electronic_ISBN
    978-1-4673-2236-2
  • Type

    conf

  • DOI
    10.1109/ICInfA.2012.6246847
  • Filename
    6246847