dicom-series-preflight

Run a header-only preflight check on a DICOM directory to validate orientation, spacing, and PHI tags before conversion or model inference, producing a schema-conformant JSON report for downstream processing decisions.

A DICOM preflight check is a header-only validation step that detects orientation issues, spacing variations, and PHI tags across a directory. It is needed before running segmentation or conversion workflows to surface data quality issues.

Yes, you can check a DICOM directory for PHI tags using a header-only preflight validation. This analyzes DICOM metadata to detect PHI tag presence without loading pixel data, ensuring safe sharing and fast verification.

Yes, the DICOM preflight validation works with Python 3.10 and above, utilizing pydicom, nibabel, and numpy. It runs via a Python script entrypoint to analyze DICOM series and emit a structured JSON report.

The best way to verify DICOM spacing and orientation consistency is to run a preflight validation script that checks headers across all files in a series. This produces a gate-ready JSON report detailing any variations or missing tags.

DICOM conversion workflows often fail due to inconsistent orientation, spacing, or missing tags across series files. Running a header-only preflight check identifies these data integrity issues beforehand to prevent downstream processing failures.