reconst_noddi
Run NODDI modelling pipeline using AMICO from DWI data.
Keywords : Diffusion MRI, NODDI, Microstructure modeling
Inputs
Section titled “Inputs”Input 1
Section titled “Input 1”Format : tuple val(meta), path(dwi), path(bval), path(bvec), path(mask), path(kernels), val(para_diff), val(iso_diff)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| dwi | file | Nifti DWI file acquired with a NODDI compatible protocol (multi-shell). | True | *.{nii,nii.gz} |
| bval | file | B-values in FSL format. | True | *.bval |
| bvec | file | B-vectors in FSL format. | True | *.bvec |
| mask | file | Nifti brain mask. | True | *mask.{nii,nii.gz} |
| kernels | directory | Folder containg kernels. | True | kernels |
| para_diff | float | Parallel diffusivity value (diff prior) (mm2/s). | False | |
| iso_diff | float | Isotropic diffusivity value (diff prior) (mm2/s). | False |
Outputs
Section titled “Outputs”Format : tuple val(meta), path(*__fit_dir.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *__fit_dir.nii.gz | file | Nifti file main direction. | True | *__fit_dir.{nii,nii.gz} |
Format : tuple val(meta), path(*__fit_FWF.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *__fit_FWF.nii.gz | file | Nifti file for Free Water Fraction. | True | *__fit_FWF.{nii,nii.gz} |
Format : tuple val(meta), path(*__fit_NDI.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *__fit_NDI.nii.gz | file | Nifti file for Neurite Density Index | True | *__fit_NDI.{nii,nii.gz} |
Format : tuple val(meta), path(*__fit_ECVF.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *__fit_ECVF.nii.gz | file | Nifti file for Extra-Compartment Volume Fraction. | True | *__fit_ECVF.{nii,nii.gz} |
Format : tuple val(meta), path(*__fit_ODI.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *__fit_ODI.nii.gz | file | Nifti file for Orientation Dispersion Index. | True | *__fit_ODI.{nii,nii.gz} |
kernels
Section titled “kernels”Format : path(kernels)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| kernels | directory | Folder containing kernels. | True | kernels |
versions
Section titled “versions”Format : path(versions.yml)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| versions.yml | file | File containing software versions. | True | versions.yml |
Arguments (see process.ext)
Section titled “Arguments (see process.ext)”| Type | Description | Default | Choices | |
|---|---|---|---|---|
| para_diff | float | Axial diffusivity (AD) in the CC (mm2/s). It overwrites the input para_diff if provided. | ||
| iso_diff | float | Mean diffusivity (MD) in ventricles (mm2/s). It overwrites the input iso_diff if provided. | ||
| noddi_lambda1 | float | First regularization parameter for NODDI fitting. | ||
| noddi_lambda2 | float | Second regularization parameter for NODDI fitting. | ||
| b_thr | float | Limit value to consider that a b-value is on an existing shell. Above this limit, the b-value is placed on a new shell. This includes b0s values. | ||
| compute_only | boolean | Compute kernels only. |
| Description | DOI | |
|---|---|---|
| scilpy | The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox. | |
| NODDI | Method to compute neurite orientation dispersion and density imaging. | 10.1016/j.neuroimage.2012.03.072 |
| AMICO | Accelerated Microstructure Imaging via Convex Optimization. | 10.1016/j.neuroimage.2014.10.026 |
Authors
Section titled “Authors”Last updated : 2025-12-22