Integrating temporal information with a non-rigid method of motion correction for functional magnetic resonance images

  • Authors:
  • Peter R. Bannister;J. Michael Brady;Mark Jenkinson

  • Affiliations:
  • Robotics Research Group, Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK;Robotics Research Group, Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK;Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, John Radcliffe Hospital, Oxford OX3 9DU, UK

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2007

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Abstract

Existing approaches to the problem of subject motion artefacts in FMRI data have applied rigid-body registration techniques to what is a non-rigid problem. We propose a model, which can account for the non-linear characteristics of movement effects, known to result from the acquisition methods used to form these images. The model also facilitates the proper application of temporal corrections, which are needed to compensate for acquisition delays. Results of an implementation based on this model reveal that it is possible to correct these effects, leading to accurate realignment and timing correction.