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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | fiber_0.1.2.tar.gz |
744.8 KiB |
0.1.2 |
rolling linux/noble R-4.5 | fiber_0.1.2.tar.gz |
744.8 KiB |
0.1.2 |
rolling source/ R- | fiber_0.1.2.tar.gz |
579.5 KiB |
0.1.2 |
latest linux/jammy R-4.5 | fiber_0.1.2.tar.gz |
744.8 KiB |
0.1.2 |
latest linux/noble R-4.5 | fiber_0.1.2.tar.gz |
744.8 KiB |
0.1.2 |
latest source/ R- | fiber_0.1.2.tar.gz |
579.5 KiB |
0.1.2 |
2026-04-23 source/ R- | fiber_0.1.2.tar.gz |
0 B |