• DocumentCode
    3587707
  • Title

    Fast magnetic resonance parametric imaging via structured low-rank matrix reconstruction

  • Author

    Eliasi, Parisa Amiri ; Li Feng ; Otazo, Ricardo ; Rangan, Sundeep

  • Author_Institution
    Dept. of Electr. & Comput. Eng., NYU WIRELESS, New York, NY, USA
  • fYear
    2014
  • Firstpage
    423
  • Lastpage
    428
  • Abstract
    Magnetic Resonance Parametric Imaging is a recently-proposed method that permits quantitative determination of MR parameters such as the T1 and T2 relaxation times. In contrast to conventional MRI, one or more encoding parameters in the RF excitation are randomly varied over the scan and tissue parameters are inferred from the temporal response to the excitation. This work presents a novel low-rank model-based parametric matrix estimation method for joint reconstruction and parameter estimation suitable for highly accelerated (i.e. highly undersampled) scans. The method is demonstrated on T2 cardiac breath-hold imaging with varying spin echo times.
  • Keywords
    biological tissues; biomedical MRI; cardiology; image reconstruction; matrix algebra; parameter estimation; spin echo (EPR); MR parameters; MRI; RF excitation; cardiac breath-hold imaging; encoding parameters; fast magnetic resonance parametric imaging; low-rank model-based parametric matrix estimation method; parameter estimation; structured low-rank matrix reconstruction; temporal response; tissue parameters; varying spin echo times; Acceleration; Encoding; Image reconstruction; Magnetic resonance imaging; Minimization; Optimization; MRI; T1 mapping; T2 mapping; compressed sensing; image reconstruction; low-rank decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2014 48th Asilomar Conference on
  • Print_ISBN
    978-1-4799-8295-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.2014.7094477
  • Filename
    7094477