Affine coregistration of diffusion tensor magnetic resonance images using mutual information

  • Authors:
  • Alexander Leemans;Jan Sijbers;Steve De Backer;Everhard Vandervliet;Paul M. Parizel

  • Affiliations:
  • Vision Lab (Department of Physics), University of Antwerp, Antwerp, Belgium;Vision Lab (Department of Physics), University of Antwerp, Antwerp, Belgium;Vision Lab (Department of Physics), University of Antwerp, Antwerp, Belgium;Department of Radiology and Medical Imaging, University Hospital Antwerp, Edegem, Belgium;Department of Radiology and Medical Imaging, University Hospital Antwerp, Edegem, Belgium

  • Venue:
  • ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

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.