segmentation_fastseg
Perform Brain Tissues Segmentation using FSL fast on a T1 image. Optionally, a binary mask of lesion can be add to correct the white matter mask.
Keywords : Segmentation, T1, Tissues
Inputs
Section titled “Inputs”Input 1
Section titled “Input 1”Format : tuple val(meta), path(image), path(lesion)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| image | file | Nifti T1 volume to segment into tissue maps. | True | *.{nii,nii.gz} |
| lesion | file | Nifti lesion volume to correct the white matter with a lesion mask. The lesion mask must be a binary mask. | True | *.{nii,nii.gz} |
Outputs
Section titled “Outputs”wm_mask
Section titled “wm_mask”Format : tuple val(meta), path(*mask_wm.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *mask_wm.nii.gz | file | Nifti WM mask volume. | True | *mask_wm.{nii,nii.gz} |
gm_mask
Section titled “gm_mask”Format : tuple val(meta), path(*mask_gm.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *mask_gm.nii.gz | file | Nifti GM mask volume. | True | *mask_gm.{nii,nii.gz} |
csf_mask
Section titled “csf_mask”Format : tuple val(meta), path(*mask_csf.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *mask_csf.nii.gz | file | Nifti CSF mask volume. | True | *mask_csf.{nii,nii.gz} |
wm_map
Section titled “wm_map”Format : tuple val(meta), path(*map_wm.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *map_wm.nii.gz | file | Nifti WM map volume. | True | *map_wm.{nii,nii.gz} |
gm_map
Section titled “gm_map”Format : tuple val(meta), path(*map_gm.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *map_gm.nii.gz | file | Nifti GM map volume. | True | *map_gm.{nii,nii.gz} |
csf_map
Section titled “csf_map”Format : tuple val(meta), path(*map_csf.nii.gz)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | True | |
| *map_csf.nii.gz | file | Nifti CSF map volume. | True | *map_csf.{nii,nii.gz} |
versions
Section titled “versions”Format : path(versions.yml)
| Type | Description | Mandatory | Pattern | |
|---|---|---|---|---|
| versions.yml | file | File containing software versions | True | versions.yml |
| Description | DOI | |
|---|---|---|
| FSL | FSL Toolbox | 10.1016/j.neuroimage.2011.09.015 |
| scilpy | The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox. |
Authors
Section titled “Authors”Last updated : 2025-10-30