MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density
Separate thresholds for a priori known vs. unknown noise level; the former is unlikely to be usable in practise since we don't typically have independent data from which to estimate the noise level.
It also presumably applies only to hard thresholding, whereas in 3.1.0 the default will be optimal shrinkage; I don't know whether computing a threshold based on optimality of it being a hard threshold, then doing optimal shrinkage, is mathematically appropriate.
Suggested by @bjeurissen.
https://ieeexplore.ieee.org/document/6846297
Separate thresholds for a priori known vs. unknown noise level; the former is unlikely to be usable in practise since we don't typically have independent data from which to estimate the noise level.
It also presumably applies only to hard thresholding, whereas in 3.1.0 the default will be optimal shrinkage; I don't know whether computing a threshold based on optimality of it being a hard threshold, then doing optimal shrinkage, is mathematically appropriate.