Entropic Framework for Nonrigid Registration of Diffusion Tensor Images

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. Experimental results on medical images indicate the feasibility of the proposed approach not only in terms of registration accuracy in the presence of geometric distortion but also in terms of robustness to noise.