tend-mfit - Man Page
estimate models from a set of DW images
Synopsis
tend mfit [-v <verbose>] -m <model> [-ns <# starts>] [-ml] [-sigma <sigma>] [-eps <eps>] [-mini <min iters>] [-maxi <max iters>] -knownB0 <bool> [-t <type>] [-i <dwi>] [-o <nout>] [-eo <filename>] [-co <filename>] [-io <filename>]
Options
- -v <verbose>
verbosity level (int) default: “0”
- -m <model>
which model to fit. Use optional “b0+” prefix to indicate that the B0 image should also be saved (independent of whether it was known or had to be estimated, according to “-knownB0”). (string)
- -ns <# starts>
number of random starting points at which to initialize fitting (unsigned int) default: “1”
- -ml
do ML fitting, rather than least-squares, which also requires setting “-sigma”
- -sigma <sigma>
Gaussian/Rician noise parameter (double)
- -eps <eps>
convergence epsilon (double) default: “0.01”
- -mini <min iters>
minimum required # iterations for fitting. (unsigned int) default: “3”
- -maxi <max iters>
maximum allowable # iterations for fitting. (unsigned int) default: “100”
- -knownB0 <bool>
Indicates if the B=0 non-diffusion-weighted reference image is known (“true”) because it appears one or more times amongst the DWIs, or, if it has to be estimated along with the other model parameters (“false”) (bool)
- -t <type>
output type of model parameters; default: “float”
- -i <dwi>
all the diffusion-weighted images in one 4D nrrd; default: “-”
- -o <nout>
output parameter vector image (string) default: “-”
- -eo <filename>
Giving a filename here allows you to save out the per-sample fitting error. By default, no such error is saved. (string)
- -co <filename>
Giving a filename here allows you to save out the per-sample convergence fraction. By default, no such error is saved. (string)
- -io <filename>
Giving a filename here allows you to save out the per-sample number of iterations needed for fitting. By default, no such error is saved. (string)