Package that provides tools for brain MRI Deep Learning pre-processing.
Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.
- brainprep.workflow.tbss.brainprep_tbss_preproc(outdir, fa_file=None, data=None, bvecs=None, bvals=None, mask=None, target=None)[source]ΒΆ
Define TBSS pre-processing workflow.
- Parameters:
outdir : str
the TBSS destination folder.
data : str, default None
diffusion weighted image data file named using BIDS rules - a 4D serie of volumes: *_dwi.nii.gz.
bvecs : str, default None
b-vectors file containing gradient directions: an ASCII text file containing a list of gradient directions applied during diffusion weighted volumes. The order of entries in this file must match the order of volumes in the input data.
bvals : str, default None
b-values file: an ASCII text file containing a list of b-values applied during each volume acquisition. The order of entries in this file must match the order of volumes in the input data.
mask : str, default None
brain binary mask file: a single binarized volume in diffusion space containing ones inside the brain and zeros outside the brain.
target : str, default None
optionally define a target image to use during the non-linear registration, otherwise use the FMRIB58_FA_1mm target.
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