Introduction In Diffusion Tensor (DT) MRI [1], local diffusion properties are described via a 3x3 symmetric diffusion tensor. From the DT and the T 2 -weighted amplitude parameters several diffusion related quantities can be derived. E.g.: eigenvectors and eigenvalues of the DT, trace, diffusion anisotropy, etc. Thus, when registering (spatially aligning) DT images one has several potential choices of parameters to use to measure image similarity during registration. Previous work [2] has shown

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... the advantages of using multiple DT parameters simultaneously during image registration, though the parameters used in that work were rotationally invariant. In this work we compare the use of channel configurations that include rotationally invariant scalar quantities derived from the DT model against channel configurations that include directional information, such as the DT elements. Methods The multi-channel image registration problem is defined as an optimization problem where the goal is to find spatial transformation 3