reconst_meanfrf
Compute the mean Fiber Response Function from a set of individually computed Response Functions.
Keywords : Fiber Orientation Distribution Function, Diffusion MRI, Fiber Response Function, Average
Inputs
Section titled “Inputs”Input 1
Section titled “Input 1”Format : tuple val(prefix), val(frf_list)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| prefix | string | Prefix to append to all FRF files. | True | |
| frf_list | list | List of individual Fiber Response Function (FRF) path. | True | *.txt |
Outputs
Section titled “Outputs”meanfrf
Section titled “meanfrf”Format : tuple val(prefix), path(*mean_frf.txt)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| prefix | string | Prefix that was append to all FRF files. | True | |
| *mean_frf.txt | file | Averaged Fiber Response Function (FRF). | True | mean_frf.txt |
versions
Section titled “versions”Format : path(versions.yml)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| versions.yml | file | File containing software versions | True | versions.yml |
| Description | DOI | |
|---|---|---|
| scilpy | The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox. |
Authors
Section titled “Authors”Last updated : 2025-10-30