RSNA DICOM Anonymizer (V19)

Version 19.0.5 is the current V19 release on the master branch and PyPI. Requires Python 3.11 or 3.12 with tkinter built in. Python 3.13 is not supported.

Install

You need three things: uv, a Python 3.11/3.12 environment that includes tkinter, and (on macOS, for AI Features) libomp.

1. Install uv

uv installs Python, creates the venv, and pulls large AI dependencies.

# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
irm https://astral.sh/uv/install.ps1 | iex

Confirm uv is on your PATH:

uv --version

2. Install Python with tkinter, then the app

The desktop UI needs tkinter. Install a Python that ships with it, then create the venv and install 19.0.5:

uv python install 3.12                     # or: 3.11
uv venv rsna-anonymizer --python 3.12      # or: --python 3.11
source rsna-anonymizer/bin/activate        # Windows: rsna-anonymizer\Scripts\activate

uv pip install rsna-anonymizer             # version 19.0.5

3. Verify the install

python --version          # 3.11.x or 3.12.x
python -m tkinter         # a small Tk window must open — required for the UI
rsna-anonymizer --version # should report 19.0.5

If python -m tkinter fails, the venv’s Python was built without Tk: fix the platform step above, recreate the venv, and reinstall.

4. macOS only — OpenMP for AI Features

On macOS, AI Features that use TotalSegmentator / Harmonize contrast analysis need the C++ OpenMP runtime libomp. Install it once with Homebrew before you download or run those models:

brew install libomp

Without libomp, Harmonize contrast can crash (for example exit code 139 / XGBoost OpenMP errors). Face blur and other AI tools that depend on the same stack can be affected. Linux and Windows normally do not need this step.

5. Run

rsna-anonymizer

On first launch, use the Welcome screen AI Features button to download models and accept the face license when needed.

Run (modes)

rsna-anonymizer
rsna-anonymizer -c path/to/ProjectModel.json   # headless DICOM receive
rsna-anonymizer -c path/to/ProjectModel.json --ai-batch path/to/AiBatchConfig.json --ai-batch-run

Headless AI batch uses a companion AiBatchConfig.json (algorithms, modes, study selection, CT/MR resolution). OCR whitelists remain under the project whitelists/ directory.

Upgrade

source rsna-anonymizer/bin/activate
uv pip install --upgrade rsna-anonymizer

See CHANGELOG for release notes.

Documentation

Clinician user manual (MkDocs Material, English). Build locally: uv sync --group docs && uv run mkdocs serve. Maintainer notes: docs/README.md.

Development

git clone https://github.com/RSNA/anonymizer.git
cd anonymizer
git checkout V19          # for V19 work
uv sync --group dev
uv run pre-commit install
uv run rsna-anonymizer

macOS AI Features: brew install libomp (OpenMP runtime for Harmonize contrast / TotalSegmentator).

Hot-reload UI work: uv run python src/prototyping/dev_anonymizer.py (optional watchexec; falls back to watchfiles).

Experimental CLIs live under src/prototyping/.

Linting (Ruff)

Config: [tool.ruff] in pyproject.toml (scope: src/anonymizer/).

uv run ruff check ./src/anonymizer/
uv run ruff check ./src/anonymizer/ --fix   # safe auto-fixes; not used in CI
uv run pre-commit run ruff-check --all-files

Unit testing

Layout mirrors source: tests/controller/ → src/anonymizer/controller/. Prototyping tests: src/prototyping/*/tests/. See tests/README.md.

uv run pytest tests/controller/tseg -q
uv run pytest tests/controller tests/model -q   # CI suite (no view)
uv run pytest src/prototyping -q
uv run pytest -q                                # full local suite

Optional: tests/controller/.env with AWS_USERNAME / AWS_PASSWORD for S3 upload tests. Markers are documented in pyproject.toml and tests/README.md.

Translations

Languages: en_US, de, es, fr. Install gettext (brew install gettext, choco install gettext, or apt install gettext), then:

cd src/anonymizer/assets/locales/
./extract_translations.sh
./update_translations.sh

Software architecture

Class diagram

User manual (MkDocs)

uv sync --group docs
uv run mkdocs serve          # http://127.0.0.1:8000
uv run mkdocs build --strict