This paper proposes a novel and robust approach to the registration (matching) of intra-subject white matter
(WM) fiber sets extracted from DT-MRI scans by Tractography. For each fiber, a feature space representation
is obtained by appending the sequence of its 3D coordinates. Clustering by non-parametric adaptive mean
shift provides a representative fiber for each cluster hereafter termed the fiber-mode (FM). For each FM, the
parameters of a multivariate Gaussian are computed from its fiber population, leading to a mixture of Gaussians
(MoG) for the whole fiber set. The number of Gaussians used for a fiber set equals the number of FM representing
the set. The alignment of two fiber sets is then treated as the alignment between two MoGs, and is solved by
maximizing the correlation ratio between them. Initial results are presented for real intrasubject fiber sets and
synthetic transformations.
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