fiber: S7 Data Structures for Diffusion MRI Tractography
Provides three S7 classes — streamline, bundle, and bundle_set —
for representing diffusion MRI tractography data in R, together with a
concise set of methods for computing shape descriptors (arc-length,
curvature, torsion, sinuosity), the Hausdorff distance between streamlines,
arc-length reparametrization of streamlines and bundles onto uniform grids,
combination of streamlines or bundles into a single bundle, combination of
bundles from multiple subjects or sessions into a bundle_set, and coercion
to and from the dwiFiber S4 class of the 'dti' package. See Dell'Acqua, F.,
Descoteaux, M. and Leemans, A. (2024) "Handbook of Diffusion MR Tractography"
<doi:10.1016/C2018-0-02520-7> for more about the mathematical and computational
underpinnings of diffusion MRI tractography.
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