Use-cases supported¶

VisualQC supports the following use cases:

Functional MRI scans (focused visual review, with rich and custom-built visualizations)

Freesurfer cortical parcellations (accuracy of pial/white surfaces on T1w mri)

Structural T1w MRI scans (artefact rating)

Volumetric segmentation accuracy (against T1w MRI)

Registration quality (spatial alignment) within a single modality (multimodal support coming)

Defacing accuracy

More detailed specifics for each modality are noted below:

Structural MRI use-cases¶

Checking the accuracy of white and pial surfaces (from Freesurfer and other algorithms)

Evaluate the accuracy of defacing or skull-stripping

Assess the accuracy of voxel-wise ROI or tissue segmentation (subcortical structures, gray matter, white matter or CSF masks)

Inspect the quality of raw T1 MRI scan (for motion, ringing, ghosting, or other artefacts)

Comparison of the registration quality or accuracy of the spatial alignment.

Functional MRI use-cases¶

Visual review of scan quality, identification of artefactual frames (motion, spikes, etc)

Quality control of the impact of different pre-processing steps

Diffusion MRI use-cases¶

Visual review of scan quality, identification of artefactual gradients (motion, spikes, etc)

Quality control of the impact of different pre-processing steps

Registration/Alignment use-cases¶

Within-modality assessment of the accuracy of the spatial alignment - e.g. T1w to T1w, EPI to EPI etc.

Cross-modal comparison coming soon.

Other modalities to be supported soon.