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 https://www.ucl.ac.uk/finance/research/rs-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
Information theoretic similarity measures in non-rigid registration
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Crum WR, Hill DL, Hawkes DJ
  • Publication date:
    07/2003
  • Pagination:
    378, 387
  • Journal:
    INF PROCESS MED IMAGING
  • Volume:
    18
  • Issue:
    011-2499 (Print)
  • Keywords:
    Algorithms, Brain, anatomy & histology, Comparative Study, Computer Simulation, Elasticity, Humans, Image Enhancement, methods, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Information Theory, Magnetic Resonance Imaging, Models, Biological, Statistical, Pattern Recognition, Automated, Reproducibility of Results, Research Support, Non-U.S.Gov't, Sensitivity and Specificity, Subtraction Technique
  • Addresses:
    Division of Imaging Sciences, The Guy's, King's and St Thomas' School of Medicine, Guy's Hospital, London SE1 9RT,UK. bill.crum@kcl.ac.uk
  • Notes:
    DA - 20040903
Abstract
Mutual Information (MI) and Normalised Mutual Information (NMI) have enjoyed success as image similarity measures in medical image registration. More recently, they have been used for non-rigid registration, most often evaluated empirically as functions of changing registration parameter. In this paper we present expressions derived from intensity histogram representations of these measures, for their change in response to a local perturbation of a deformation field linking two images. These expressions give some insight into the operation of NMI in registration and are implemented as driving forces within a fluid registration framework. The performance of the measures is tested on publicly available simulated multi-spectral MR brain images
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Med Phys & Biomedical Eng
Author
Dept of Med Phys & Biomedical Eng
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by