Abstract
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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Bergmann, Ø., Kindlmann, G., Lundervold, A., Westin, CF. (2006). Diffusion k-tensor Estimation from Q-ball Imaging Using Discretized Principal Axes. In: Larsen, R., Nielsen, M., Sporring, J. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. MICCAI 2006. Lecture Notes in Computer Science, vol 4191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11866763_33
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DOI: https://doi.org/10.1007/11866763_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44727-6
Online ISBN: 978-3-540-44728-3
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