Read DICOM metadata
Discover files recursively and parse metadata without loading pixel data.
DICOM metadata quality control
dicomqc
Check DICOM metadata before sharing research data.
Run dicomqc after pseudonymization or de-identification. It checks metadata for patient identifiers, unexpected pseudonym formats, and private tags, then writes JSON, CSV, and MultiQC reports. It never changes the DICOM files.
Current checks
Metadata checks after de-identification
Use dicomqc on the files produced by any DICOM de-identification tool. The same checks can then be repeated for every provider and every version of a dataset.
Apply explicit rules
Identify direct PHI fields, pseudonym-pattern failures, and private tags.
Save the results
Write JSON, CSV, and MultiQC reports without copying raw DICOM values.
Automate the check
Use exit codes to pass, review, or stop a data-processing pipeline.
Limits
What dicomqc does not check
Version 0.1 does not pseudonymize or modify DICOM files, inspect pixels or facial features, or certify DICOM PS3.15, BIDS, HIPAA, or GDPR compliance. A qualified reviewer must still decide whether the data can be shared.
Documentation
Choose a task
Install dicomqcInstall the PyPI release, optional MultiQC support, or a source checkout.Run an auditGenerate the demo, scan a directory, and interpret the result.Fix reported problemsUpdate the pseudonymization process with an external tool and run dicomqc again.Review the architectureTrace metadata through discovery, policy evaluation, and report generation.Compare prior workUnderstand how dicomqc relates to existing de-identification software.