Quantification of internal structure (i.e., microstructure) is central to for the modeling of diffusion signals. In recent years, rotationally-invariant measures have generated significant attention because of their tremendous potential for characterizing the underlying structural information contained in the orientation-distribution-function (ODF). We demonstrate the use of a new approach for the analysis of long-range structural connectivity based on the use of pairwise correlations between ODF’s. This approach is shown to better capture differences between the underlying morphological features present within a fiber bundle.
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