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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.cat12vbm.brainprep_cat12vbm_qc(img_regex, qc_regex, outdir, brainmask_regex=None, extra_img_regex=None, ncr_thr=4.5, iqr_thr=4.5, corr_thr=0.5)[source]ΒΆ

Define the CAT12 VBM quality control workflow.

Parameters:

img_regex : str

regex to the CAT12 VBM image files for all subjects.

qc_regex : str

regex to the CAT12 VBM quality control xml files for all subjects.

outdir : str

the destination folder.

brainmask_regex : str, default None

regex to the brain mask files for all subjects. If one file is provided, we assume subjects are in the same referential.

extra_img_regex : list of str, default None

list of regex to extra image to diplay in quality control.

ncr_thr : float, default 4.5

control the quality control threshold on the NCR score.

iqr_thr : float, default 4.5

control the quality control threshold on the IQR score.

corr_thr : float, default 0.5

control the quality control threshold on the correlation score.

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