Command line usage - Freesurfer¶

visualqc_freesurfer: rate quality of Freesurfer reconstruction.

usage: visualqc_freesurfer [-h] [-i ID_LIST] [-f FS_DIR] [-o OUT_DIR] [-m MRI_NAME] [-g SEG_NAME] [-l label [label ...]]
                           [-v {cortical_volumetric,cortical_contour,labels_volumetric,labels_contour}] [-c CONTOUR_COLOR]
                           [-a alpha alpha] [-olm OUTLIER_METHOD] [-olf OUTLIER_FRACTION] [-olt OUTLIER_FEAT_TYPES] [-old]
                           [-w VIEWS [VIEWS ...]] [-s NUM_SLICES] [-r NUM_ROWS] [-ns] [-so]

Input and output¶

`-i, --id_list`	Abs path to file containing list of subject IDs to be processed. If not provided, all the subjects with required files will be processed. E.g. sub001 sub002 cn_003 cn_004
`-f, --fs_dir`	Absolute path to `SUBJECTS_DIR` containing the finished runs of Freesurfer parcellation Each subject will be queried after its ID in the metadata file. E.g. `--fs_dir /project/freesurfer_v5.3`
`-o, --out_dir`	Output folder to store the visualizations & ratings. Default: a new folder called `visualqc` will be created inside the `fs_dir`
`-m, --mri_name`	Specifies the name of MRI image to serve as the reference slice. Typical options include orig.mgz, brainmask.mgz, T1.mgz etc. Make sure to choose the right vis_type. Default: orig.mgz (within the mri folder of Freesurfer format).
`-g, --seg_name`	Specifies the name of segmentation image (volumetric) to be overlaid on the MRI. Typical options include aparc+aseg.mgz, aseg.mgz, wmparc.mgz. Make sure to choose the right vis_type. Default: aparc+aseg.mgz (within the mri folder of Freesurfer format).
`-l, --labels`	Specifies the set of labels to include for overlay. Atleast one label must be specified when vis_type is labels_volumetric or labels_contour Default: None (show nothing)

Overlay options¶

`-v, --vis_type`	Possible choices: cortical_volumetric, cortical_contour, labels_volumetric, labels_contour Specifies the type of visualizations/overlay requested. Default: cortical_contour (volumetric overlay of cortical segmentation on T1 mri).
`-c, --contour_color`
	Specifies the color to use for the contours overlaid on MRI (when vis_type requested prescribes contours). Color can be specified in many ways as documented in https://matplotlib.org/users/colors.html Default: yellow.
`-a, --alpha_set`
	Alpha values to control the transparency of MRI and aseg. This must be a set of two values (between 0 and 1.0) separated by a space e.g. –alphas 0.7 0.5. Default: 1.0 0.7. Play with these values to find something that works for you and the dataset.

Outlier detection¶

options related to automatically detecting possible outliers

`-olm, --outlier_method`
	Method used to detect the outliers. For more info, read http://scikit-learn.org/stable/modules/outlier_detection.html Default: isolation_forest.
`-olf, --outlier_fraction`
	Fraction of outliers expected in the given sample. Must be >= 1/n and <= (n-1)/n, where n is the number of samples in the current sample. For more info, read http://scikit-learn.org/stable/modules/outlier_detection.html Default: 0.2.
`-olt, --outlier_feat_types`
	Type of features to be employed in training the outlier detection method. It could be one of 1) ‘cortical’ based on aparc.stats (mean thickness and other geometrical features from all cortical labels), 2) ‘subcortical’ based on aseg.stats (volumes of subcortical structures), or 3) ‘both’ (using both aseg and aparc stats). Default: (‘both’,).
`-old, --disable_outlier_detection`
	This flag disables outlier detection and alerts altogether.

Layout options¶

`-w, --views`	Specifies the set of views to display - could be just 1 view, or 2 or all 3. Example: –views 0 (typically sagittal) or –views 1 2 (axial and coronal) Default: 0 1 2 (show all the views in the selected segmentation)
`-s, --num_slices`
	Specifies the number of slices to display per each view. This must be even to facilitate better division. Default: 12.
`-r, --num_rows`	Specifies the number of rows to display per each axis. Default: 2.

Workflow¶

Options related to workflow e.g. to pre-compute resource-intensive features, and pre-generate all the visualizations required

`-ns, --no_surface_vis`
	This flag disables batch-generation of 3d surface visualizations, which are shown along with cross-sectional overlays. This is not recommended, but could be used in situations where you do not have Freesurfer installed or want to focus solely on cross-sectional views. Default: False (required visualizations are generated at the beginning, which can take 5-10 seconds for each subject).
`-so, --screenshot_only`
	This flag enables the batch generation of screenshots of the visualizations generated, for archival purposes. This would skip the interactive and deeper review of the visualizations, and directly saves the screenshots to the output folder. Hence, only some static options would work, and dynamic animations would not. This is NOT recommended as a QC procedure as the generated screenshots can become out of sync with the actual data for a number of reasons, and for reliable and accurate QC, we recommend interactive review which presents fresh visualizations based on latest version of data on disk.