Magnetic Resonance Imaging
Volume 28, Issue 7 , Pages 982-994, September 2010

Adaptive smoothing of high angular resolution diffusion-weighted imaging data by generalized cross-validation improves Q-ball orientation distribution function reconstruction

  • Nader S. Metwalli

      Affiliations

    • Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University, Atlanta, GA 30322, USA
    • Interdisciplinary Bioengineering Program, Georgia Institute of Technology, Atlanta, GA 30322, USA
    • Department of Biomedical Engineering, Cairo University, Giza, Egypt
    • ,
  • Xiaoping P. Hu

      Affiliations

    • Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University, Atlanta, GA 30322, USA
    • ,
  • John D. Carew

      Affiliations

    • Interdisciplinary Bioengineering Program, Georgia Institute of Technology, Atlanta, GA 30322, USA
    • R. S. Dickson Institute for Health Studies, Carolinas HealthCare System, Charlotte, NC 28232, USA
    • Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA
    • Corresponding Author InformationCorresponding author. R. S. Dickson Institute for Health Studies, Carolinas HealthCare System, Charlotte, NC 28232, USA.

Received 22 September 2009; received in revised form 22 December 2009; accepted 8 February 2010. published online 23 June 2010.

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PII: S0730-725X(10)00057-3

doi:10.1016/j.mri.2010.02.005

Magnetic Resonance Imaging
Volume 28, Issue 7 , Pages 982-994, September 2010

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