Original Research

A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements†

  1. Geoffrey J.M. Parker PhD1,*,
  2. Hamied A. Haroon MSc1,
  3. Claudia A.M. Wheeler-Kingshott PhD2

Article first published online: 21 JUL 2003

DOI: 10.1002/jmri.10350

Issue

Journal of Magnetic Resonance Imaging

Journal of Magnetic Resonance Imaging

Volume 18, Issue 2, pages 242–254, August 2003

Additional Information

How to Cite

Parker, G. J.M., Haroon, H. A. and Wheeler-Kingshott, C. A.M. (2003), A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements. J. Magn. Reson. Imaging, 18: 242–254. doi: 10.1002/jmri.10350

Author Information

  1. 1

    Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK

  2. 2

    NMR Research Unit, Institute of Neurology, University College London, London, UK

*Imaging Science and Biomedical Engineering, Stopford Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK

  1. †

    This work appeared in early form at the ISMRM Workshop on Diffusion MRI (Biophysical Issues), Saint-Malo, France, 2002, and at the ISMRM Annual Meeting, Honolulu, 2002.

Publication History

  1. Issue published online: 21 JUL 2003
  2. Article first published online: 21 JUL 2003
  3. Manuscript Accepted: 21 APR 2003
  4. Manuscript Received: 25 NOV 2002

Funded by

  • MS Society of Great Britain and Northern Ireland

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