Affine Registration of Diffusion Tensor MR Images

  • Mika Pollari
  • Tuomas Neuvonen
  • Jyrki Lötjönen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)


We present a new algorithm for affine registration of diffusion tensor magnetic resonance (DT-MR) images. The method is based on a new formulation of a point-wise tensor similarity measure, which weights directional and magnitude information differently depending on the type of diffusion. The method is compared to a reference method, which uses normalized mutual information (NMI), calculated either from a fractional anisotropy (FA) map or a T 2-weighted MR image. The registration methods are applied to real and simulated DT-MR images. Visual assessment is done for real data and for simulated data, registration accuracy is defined. The results show that the proposed method outperforms the reference method.


Fractional Anisotropy Registration Method Normalize Mutual Information Registration Accuracy Brain Voxels 
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 2006

Authors and Affiliations

  • Mika Pollari
    • 1
  • Tuomas Neuvonen
    • 2
    • 4
  • Jyrki Lötjönen
    • 3
  1. 1.Laboratory of Biomedical EngineeringHelsinki University of TechnologyHUTFinland
  2. 2.Department of Clinical NeurophysiologyHelsinki University Central HospitalHUSFinland
  3. 3.VTT Information TechnologyTampereFinland
  4. 4.Neuroscience Unit, Dept. of Physiology, Inst. of BiomedicineUniversity of Helsinki 

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