A reoccurring theme in the diffusion tensor imaging literature is the per-voxel estimation of a symmetric 3 × 3 tensor describing the measured diffusion. In this work we attempt to generalize this approach by calculating 2 or 3 or up to k diffusion tensors for each voxel. We show that our procedure can more accurately describe the diffusion particularly when crossing fibers or fiber-bundles are present in the datasets. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Bergmann, Ø., Kindlmann, G., Lundervold, A., & Westin, C. F. (2006). Diffusion k-tensor estimation from Q-ball imaging using discretized principal axes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4191 LNCS-II, pp. 268–275). Springer Verlag. https://doi.org/10.1007/11866763_33
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