Welcome to UNRAVEL’s documentation!
Welcome to the documentation of UtiliziNg tRActography to uncoVEr muLti-fixel microstructure (UNRAVEL)!
The code is available at https://github.com/DelinteNicolas/UNRAVEL
To unravel has two meanings :
to disentangle the fibers of
to resolve the intricacy, complexity, or obscurity of
With the UNRAVEL framework, we utilize tractography to unravel the microstructure of multi-fixel models.
This repository contains the documentation of the code used to combine macroscopic tractography information with microscopic multi-fixel model estimates in order to improve the accuracy in the estimation of the microstructural properties of neural fibers in a specified tract.
- Tutorials
- API
- Quick access
- unravel
- analysis
- core
angle_difference()
angular_agreement()
angular_weighting()
closest_fixel_only()
compute_subsegments()
deltas_to_D()
fraction_weighting()
get_fixel_weight()
get_fixel_weight_DIAMOND()
get_fixel_weight_MF()
get_microstructure_map()
get_streamline_weights()
get_weighted_mean()
get_weighted_sums()
main_fixel_map()
peak_to_tensor()
plot_streamline_metrics()
plot_streamline_metrics_old()
relative_angular_weighting()
t6ToMFpeak()
tensor_to_peak()
total_segment_length()
tract_to_streamlines()
volumetric_agreement()
voxel_distance()
voxels_from_segment()
weighted_mean_dev()
- stream
- utils
- viz