Fast free-form deformation using graphics processing units

  • Authors:
  • Marc Modat;Gerard R. Ridgway;Zeike A. Taylor;Manja Lehmann;Josephine Barnes;David J. Hawkes;Nick C. Fox;Sébastien Ourselin

  • Affiliations:
  • Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK;Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK and Dementia Research Centre, UCL Institute of Neurology, University Col ...;Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK;Dementia Research Centre, UCL Institute of Neurology, University College London, WC1N 3BG UK;Dementia Research Centre, UCL Institute of Neurology, University College London, WC1N 3BG UK;Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK;Dementia Research Centre, UCL Institute of Neurology, University College London, WC1N 3BG UK;Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK and Dementia Research Centre, UCL Institute of Neurology, University Col ...

  • Venue:
  • Computer Methods and Programs in Biomedicine
  • Year:
  • 2010

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Abstract

A large number of algorithms have been developed to perform non-rigid registration and it is a tool commonly used in medical image analysis. The free-form deformation algorithm is a well-established technique, but is extremely time consuming. In this paper we present a parallel-friendly formulation of the algorithm suitable for graphics processing unit execution. Using our approach we perform registration of T1-weighted MR images in less than 1min and show the same level of accuracy as a classical serial implementation when performing segmentation propagation. This technology could be of significant utility in time-critical applications such as image-guided interventions, or in the processing of large data sets.