  We propose a nonrigid registration approach for diffusion tensor images using
a multicomponent information-theoretic measure. Explicit orientation
optimization is enabled by incorporating tensor reorientation, which is
necessary for wrapping diffusion tensor images. Experimental results on
diffusion tensor images indicate the feasibility of the proposed approach and a
much better performance compared to the affine registration method based on
mutual information in terms of registration accuracy in the presence of
geometric distortion.
