raamana / visualqc

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

VisualQC : software development kit for medical and neuroimaging quality control

Links

• Software Documentation: https://raamana.github.io/visualqc
• User Manual
• Free software: Apache 2.0 license
• Pure python package (no licensing issues ala matlab, easy to install and update requiring no other external installations or maintenance)
• Generic design for API that can be adapted for other domains, imaging or medical or otherwise.

Galleries

• NEW: Defacing QC
• Freesurfer
• Functional MRI
• Registration/Alignment quality
• Structural T1w MRI
• Volumetric Segmentation

Citation

If you used VisualQC in your analyses or projects, whether or not it was reported in the main paper, please consider citing the paper below:

• Pradeep Reddy Raamana (2023), “VisualQC: Software Development Kit for Medical and Neuroimaging Quality Control and Assurance.” Aperture Neuro 3 (March): 1–4. https://doi.org/10.52294/e130fcd2-ce83-4222-856d-c82022013a50

Bibtex:

@article{Raamana_2022_VisualQCSoftware,
    journal={Aperture Neuro},
    doi={10.52294/e130fcd2-ce83-4222-856d-c82022013a50},
    publisher={Organization for Human Brain Mapping},
    title={VisualQC: software development kit for medical and neuroimaging quality control and assurance},
    volume=3,
    author={Reddy Raamana, Pradeep},
    pages={1--4},
    date={2023-03-02},
    year=2023,
    month=3,
    day=2,
}

More details at docs/citation.rst

Contributions

Contributions are welcome.

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