• DocumentCode
    636233
  • Title

    Cramér-Rao bound for Intravoxel Incoherent Motion Diffusion Weighted Imaging fitting

  • Author

    Qinwei Zhang ; Yi-Xiang Wang ; Ma, Heather T. ; Jing Yuan

  • Author_Institution
    Dept. of Imaging & Interventional Radiol., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    511
  • Lastpage
    514
  • Abstract
    The precision of parameter estimation for Intravoxel Incoherent Motion Diffusion Weighted Imaging (IVIM-DWI) was investigated by examining their Cramér-Rao bounds (CRBs) under the presence of Rician noise. Monte Carlo (MC) simulation was also conducted to validate the CRB results. The estimation uncertainties of true diffusion coefficient (D) and perfusion fraction (f0) could reach 3.89% and 11.65% respectively with typical parameter values at a moderate signal-to-noise ratio (SNR) of 40. However, to estimate pseudo diffusion coefficient (D*) within 10% uncertainty requires SNR>122. The results also showed that the estimation precision of each parameter is not only dependent on SNR but also their true values, while this mutual dependency is complicated. Under some particular cases, estimation uncertainty for certain parameters might be smaller than 5% at a moderate SNR of 40. However, the simultaneous precise estimation for all three parameters is theoretically difficult and highly SNR demanding.
  • Keywords
    Monte Carlo methods; biodiffusion; biomedical MRI; noise; parameter estimation; Cramer-Rao bound; IVIM-DWI; Monte Carlo simulation; Rician noise; estimation uncertainty; intravoxel incoherent motion diffusion weighted imaging fitting; parameter estimation; perfusion fraction; pseudodiffusion coefficient estimation; signal-to-noise ratio; Estimation; Imaging; Monte Carlo methods; Rician channels; Signal to noise ratio; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6609549
  • Filename
    6609549