Module: reconst/diffusivitypriors

Compute the axial (para_diff) and mean (iso_diff) diffusivity priors.

Inputs

	Type	Description	Pattern
meta	map	Groovy Map containing sample information e.g. [ id:'test', single_end:false ]
fa	file	Nifti DTI FA volume.	*.{nii,nii.gz}
ad	file	Nifti DTI AD volume.	*.{nii,nii.gz}
rd	file	Nifti DTI RD volume.	*.{nii,nii.gz}
md	file	Nifti DTI MD volume.	*.{nii,nii.gz}
priors	directory	Folder containg text files for isotropic and parallel diffusivity values.	priors

Outputs

	Type	Description	Pattern
meta	map	Groovy Map containing sample information e.g. [ id:'test', single_end:false ]
para_diff	file	Text files for parallel diffusivity values.	*.txt
perp_diff	file	Text files for perpendicular diffusivity values.	*.txt
iso_diff	file	Text files for isotropic diffusivity values.	*.txt
mean_para_diff	file	Text file for average parallel diffusivity value.	*.txt
mean_perp_diff	file	Text file for average perpendicular diffusivity value.	*.txt
mean_iso_diff	file	Text file for average isotropic diffusivity value.	*.txt
priors	directory	Folder containing text files for isotropic, parallel and perpendicular diffusivity values.	priors
versions	file	File containing software versions	versions.yml

Tools

	Description	Homepage	DOI
Scilpy	The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox.	https://github.com/scilus/scilpy.git

Keywords

diffusivity
axial
isotropic

Authors

@Manonedde