UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Neurite orientation dispersion and density imaging of the cervical cord in vivo
  • Publication Type:
    Conference
  • Authors:
    Grussu F, Schneider T, Zhang H, Alexander DC, Wheeler-Kingshott CAM
  • Publication date:
    05/2014
  • Pagination:
    1720, ?
  • Status:
    Published
  • Name of conference:
    Joint Annual Meeting ISMRM-ESMRMB
  • Conference place:
    Milan, Italy
  • Conference start date:
    10/05/2014
  • Conference finish date:
    16/05/2014
  • Keywords:
    NODDI, spinal cord, DTI, in vivo, microstructure, orientation dispersion, neurite morphology
Abstract
Neurite Orientation Dispersion and Density Imaging (NODDI) is a novel diffusion MRI technique providing indices which are appealing biomarkers in diseases of brain and spinal cord. Here, we demonstrate for the first time the application of the full NODDI technique to the healthy cervical cord in vivo, assessing the reproducibility of its metrics and their relationship with Diffusion Tensor Imaging (DTI) indices. The analysis confirmed findings in the brain and demonstrated that NODDI can be a feasible and more specific alternative to DTI for in vivo spinal cord diffusion MRI.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers Show More
Author
Dept of Computer Science
Author
Neuroinflammation
Author
Dept of Computer Science
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by