Nuclear Medicine and Biology
Volume 37, Issue 4 , Pages 443-451, May 2010

Empirical Bayesian estimation in graphical analysis: a voxel-based approach for the determination of the volume of distribution in PET studies☆☆

  • Francesca Zanderigo

      Affiliations

    • Department of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
    • Corresponding Author InformationCorresponding author. Tel.: +1 212 543 2951; fax: +1 212 543 6017.
  • ,
  • R. Todd Ogden

      Affiliations

    • Department of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
    • Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA
    • Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
  • ,
  • Alessandra Bertoldo

      Affiliations

    • Department of Information Engineering, University of Padova, Padova, Italy
  • ,
  • Claudio Cobelli

      Affiliations

    • Department of Information Engineering, University of Padova, Padova, Italy
  • ,
  • J. John Mann

      Affiliations

    • Department of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
    • Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA
  • ,
  • Ramin V. Parsey

      Affiliations

    • Department of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
    • Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA

Received 20 April 2009; received in revised form 9 November 2009; accepted 9 February 2010. published online 08 April 2010.

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 Disclosure/conflict of interest: No one of the authors has conflict of interest to declare.

☆☆ Funding for studies provided by NARSAD and NIH grants 5 R01 MH040695-17 and 5 P50 MH062185-08.

PII: S0969-8051(10)00029-6

doi:10.1016/j.nucmedbio.2010.02.004

Nuclear Medicine and Biology
Volume 37, Issue 4 , Pages 443-451, May 2010