mriqc.workflows package¶
Submodules¶
mriqc.workflows.anatomical module¶
A QC workflow for anatomical MRI
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mriqc.workflows.anatomical.airmsk_wf(name='AirMaskWorkflow', save_memory=False, ants_settings=None)[source]¶ Implements the Step 1 of [Mortamet2009].
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mriqc.workflows.anatomical.anat_qc_workflow(name='MRIQC_Anat', settings=None)[source]¶ One-subject-one-session-one-run pipeline to extract the NR-IQMs from anatomical images
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mriqc.workflows.anatomical.combine_masks(head_mask, artifact_msk, out_file=None)[source]¶ Computes an air mask from the head and artifact masks
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mriqc.workflows.anatomical.gradient_threshold(in_file, thresh=1.0, out_file=None)[source]¶ Compute a threshold from the histogram of the magnitude gradient image
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mriqc.workflows.anatomical.headmsk_wf(name='HeadMaskWorkflow')[source]¶ Computes a head mask as in [Mortamet2009].
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mriqc.workflows.anatomical.image_gradient(in_file, compute_abs=True, out_file=None)[source]¶ Computes the magnitude gradient of an image using numpy
mriqc.workflows.core module¶
The core module combines the existing workflows
mriqc.workflows.functional module¶
A QC workflow for fMRI data
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mriqc.workflows.functional.fmri_bmsk_workflow(name='fMRIBrainMask', use_bet=False)[source]¶ Comute brain mask of an fmri dataset
mriqc.workflows.utils module¶
Helper functions for the workflows