usage: __main__.py [-h] [--mask MASK] [--not_all] [--fa file] [--ad file]
[--rd file] [--md file] [-v [{DEBUG,INFO,WARNING}]] [-f]
in_evals
Script to compute FA/MD/RD/AD for
each Multi-ResolutionDiscrete-Search (MRDS) solution.
It will output the results in 4 different 4D files.
Each 4th dimension will correspond to each tensor in the MRDS solution.
e.g. FA of tensor D_1 will be in index 0 of the 4th dimension,
FA of tensor D_2 will be in index 1 of the 4th dimension,
FA of tensor D_3 will be in index 2 of the 4th dimension.
positional arguments:
in_evals MRDS eigenvalues file (Shape: [X, Y, Z, 9]).
The last dimensions, values 1-3 are associated with the first tensor (D_1), 4-6 with the second tensor (D_2), 7-9 with the third tensor (D_3).
This file is one of the outputs of scil_mrds_select_number_of_tensors.py (*_MRDS_evals.nii.gz).
options:
-h, --help show this help message and exit
--mask MASK Path to a binary mask.
Only data inside the mask will be used for computations and reconstruction. (Default: None)
--not_all If set, will only save the metrics explicitly specified using the other metrics flags. (Default: not set).
-v [{DEBUG,INFO,WARNING}]
Produces verbose output depending on the provided level.
Default level is warning, default when using -v is info.
-f Force overwriting of the output files.
MRDS-Metrics files flags:
--fa file Output filename for the FA.
--ad file Output filename for the AD.
--rd file Output filename for the RD.
--md file Output filename for the MD.
Scilpy version: 2.0.2