Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
brainprep.workflow.brainprep_group_defacing¶
- brainprep.workflow.brainprep_group_defacing(output_dir, overlap_threshold=0.05, keep_intermediate=False)[source]¶
Group level defacing pre-processing.
Applies the following quality control procedure:
Generate a TSV table containing the intersection between the brain and defacing masks.
Apply threshold-based quality checks on the selected quality metrics.
Generate a histogram showing the distribution of these quality metrics.
- Parameters:
- output_dirDirectory
Directory where the quality assurance related outputs will be saved (i.e., the root of your dataset).
- overlap_thresholdfloat
Quality control threshold on the overalp score. Default 0.05.
- keep_intermediatebool
If True, retains intermediate results (no effect on this workflow). Default False.
- Returns:
- Bunch
A dictionary-like object containing:
overalp_file : File - a TSV file containing brain/defacing masks intersection quality check (QC) data.
overalp_histogram_file : File - PNG file containing the histogram of the computed overlaps.
Notes
This workflow assumes the subject-level analyses have already been performed.
A
qccolumn is added to the TSV QC output table. It contains a binary flag indicating whether the produced results should be kept:qc = 1if the result passes the thresholds, otherwiseqc = 0.The associated PNG histograms help verify that the chosen thresholds are neither too restrictive nor too permissive.
Examples
>>> from brainprep.config import Config >>> from brainprep.reporting import RSTReport >>> from brainprep.workflow import brainprep_group_defacing >>> >>> with Config(dryrun=True, verbose=False): ... report = RSTReport() ... outputs = brainprep_group_defacing( ... output_dir="/tmp/dataset/derivatives", ... ) >>> outputs Bunch( overlap_file: PosixPath('...') overalp_histogram_file: PosixPath('...') )