Quantification of growth and motion using non-rigid registration

  • Authors:
  • D. Rueckert;R. Chandrashekara;P. Aljabar;K. K. Bhatia;J. P. Boardman;L. Srinivasan;M. A. Rutherford;L. E. Dyet;A. D. Edwards;J. V. Hajnal;R. Mohiaddin

  • Affiliations:
  • Department of Computing, Imperial College London, UK;Department of Computing, Imperial College London, UK;Department of Computing, Imperial College London, UK;Department of Computing, Imperial College London, UK;Imaging Sciences Department, Hammersmith Hospital, Imperial College London, UK;Imaging Sciences Department, Hammersmith Hospital, Imperial College London, UK;Imaging Sciences Department, Hammersmith Hospital, Imperial College London, UK;Imaging Sciences Department, Hammersmith Hospital, Imperial College London, UK;Imaging Sciences Department, Hammersmith Hospital, Imperial College London, UK;Imaging Sciences Department, Hammersmith Hospital, Imperial College London, UK;Cardiovascular MR Unit, Royal Brompton Hospital, Imperial College London, UK

  • Venue:
  • CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
  • Year:
  • 2006

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Abstract

Three-dimensional (3D) and four-dimensional (4D) imaging of dynamic structures is a rapidly developing area of research in medical imaging. Non-rigid registration plays an important role for the analysis of these datasets. In this paper we will show some of the work of our group using non-rigid registration techniques for the detection of temporal changes such as growth in brain MR images. We will also show how non-rigid registration can be used to analyze the motion of the heart from cardiac MR images.