[–out_ga str] [–out_rgb str] [–out_md str] [–out_ad str] [–out_rd str] [–out_mode str] [–out_evec str] [–out_eval str]
[–out_dk_tensor str] [–out_mk str] [–out_ak str] [–out_rk str]
input_files bvalues_files bvectors_files mask_files Workflow for Diffusion Kurtosis reconstruction and for computing DKI metrics. Performs a DKI reconstruction on the files by ‘globing’ input_files Path to the input volumes. This path may contain wildcards to process multiple inputs at once.
bvalues_files Path to the bvalues files. This path may contain wildcards to use multiple bvalues files at once.
bvectors_files Path to the bvalues files. This path may contain wildcards to use multiple bvalues files at once.
mask_files Path to the input masks. This path may contain wildcards to use multiple masks at once. (default: No mask used) show this help message and exit can be one of the following: ‘OLS’ or ‘ULLS’ for ordinary least squares ‘WLS’ or ‘UWLLS’ for weighted ordinary least squares Threshold used to find b0 volumes. An estimate of the variance. [3] recommend to use 1.5267 * std(background_noise), where background_noise is estimated from some part of the image known to contain no signal (only noise) List of metrics to save. Possible values: fa, ga, rgb, md, ad, rd, mode, tensor, evec, eval Output directory. (default current directory) Name of the tensors volume to be saved. Name of the tensors volume to be saved. Name of the fractional anisotropy volume to be saved. Name of the geodesic anisotropy volume to be saved. Name of the color fa volume to be saved. Name of the mean diffusivity volume to be saved. Name of the axial diffusivity volume to be saved. Name of the radial diffusivity volume to be saved. Name of the mode volume to be saved. Name of the eigenvectors volume to be saved. Name of the eigenvalues to be saved. Name of the mean kurtosis to be saved. Name of the axial kurtosis to be saved. Name of the radial kurtosis to be saved. Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.dipy_fit_dki
Usage
input_files
and saves the DKI metrics in a directory specified by out_dir
.Positional Arguments
Optional Arguments
Output Arguments(Optional)
References