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Affine Coregistration of Diffusion Tensor Magnetic Resonance Images Using Mutual Information

  • Alexander Leemans
  • Jan Sijbers
  • Steve De Backer
  • Everhard Vandervliet
  • Paul M. Parizel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3708)

Abstract

In this paper, we present an affine image coregistration technique for Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) data sets based on mutual information. The technique is based on a multi-channel approach where the diffusion weighted images are aligned according to the corresponding acquisition gradient directions. Also, in addition to the coregistration of the DT-MRI data sets, an appropriate reorientation of the diffusion tensor is worked out in order to remain consistent with the corresponding underlying anatomical structures. This reorientation strategy is determined from the spatial transformation while preserving the diffusion tensor shape. The method is fully automatic and has the advantage to be independent of the applied diffusion framework.

Keywords

Mutual Information Fractional Anisotropy Reference Image Spatial Transformation Medical Image Registration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alexander Leemans
    • 1
  • Jan Sijbers
    • 1
  • Steve De Backer
    • 1
  • Everhard Vandervliet
    • 2
  • Paul M. Parizel
    • 2
  1. 1.Vision Lab (Department of Physics)University of AntwerpAntwerpBelgium
  2. 2.Department of Radiology and Medical ImagingUniversity Hospital AntwerpEdegemBelgium

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