Module: betcrop/fslbetcrop
Perform Brain extraction using FSL BET followed by cropping empty planes around the data.
| Type | Description | Mandatory | Pattern |
---|
meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | true | |
image | file | Nifti image volume to perform BET + crop. | true | *.{nii,nii.gz} |
bval | file | B-values in FSL format. | | *.bval |
bvec | file | B-vectors in FSL format. | true | *.bvec |
Arguments
| Type | Description | Choices | Default |
---|
b0_thr | float | Threshold under which b-values are considered to be b0s. | | 20 |
bet_f | float | Fractional intensity threshold (0->1). Smaller values give larger brain outline estimates” | | 0.5 |
size_dil | int | Size of dilation for the mask (in voxels). | | None |
crop | boolean | Crop the output images. | | True |
dilate | boolean | Dilate the mask. | | True |
Outputs
| Type | Description | Pattern |
---|
meta | map | Groovy Map containing sample information e.g. [ id:'test', single_end:false ] | |
image | file | Nifti volume brain-extracted and cropped. | *_bet.{nii,nii.gz} |
mask | file | mask brain-extracted and cropped. | *_bet_mask.{nii,nii.gz} |
bbox | file | BoundingBox used for cropping. | *_boundingBox.pkl |
versions | file | File containing software versions | versions.yml |
Authors
@gagnonanthony