Static DICOMweb Creator

A Python library and CLI tool for generating static DICOMweb endpoints from DICOM files. Create self-contained, deployable medical imaging web applications without requiring a PACS server or database.

This project was inspired by the RadicalImaging/Static-DICOMWeb (javascript, node.js).

✨ Features

• 🚀 Zero Server Requirements: Generate static files that can be served from any web server or CDN
• 🔒 Self-Contained: All DICOM metadata and images converted to web-friendly formats
• 📊 DICOMweb Compatible: Generates standard DICOMweb API endpoints (WADO-RS)
• 🌐 OHIF Viewer Ready: Works out-of-the-box with OHIF Viewer for viewing medical images
• 📦 Easy Deployment: Includes docker templates

📋 Requirements

• Python 3.9 or higher
• Frontend viewer: OHIF Viewer (recommended) or any DICOMweb-compatible viewer

🚀 Installation

From PyPI

pip install static-dicomweb-creator

Development Installation

pip install -e ".[dev]"

📖 Usage

Command Line Interface

Basic usage:

static-dicomweb-creator input_dicom_dir base_url output_web_dir

For OHIF viewer:

static-dicomweb-creator --ohif input_dicom_dir base_url output_web_dir

Python API

from static_dicomweb_creator.creator import StaticDICOMWebCreator
from static_dicomweb_creator.utils import list_dicom_files

creator = StaticDICOMWebCreator(
    output_path="/path/to/web",
    root_uri="https://example.com/dicomweb/"
)

for dcm_path in list_dicom_files("/path/to/dicom_files"):
    dcm = pydicom.dcmread(dcm_path)
    creator.add_dcm_instance(dcm)
creator.create_json()

🏗️ Architecture

Input DICOM Files
       ↓
Static DICOMweb Creator
       ↓
Generated Output:
└ studies/
    ├ index.json
    └ {StudyInstanceUID}/
         └ series/
              ├ index.json
              └ {SeriesInstanceUID}/
                   ├ index.json
                   ├ metadata
                   │   └ index.json
                   └ instances/
                        └ {SOPInstanceUID}/
                            ├ metadata
                            │  └ index.json
                            ├ frame
                            │  └ {frame_number}/
                            │       └ index.json
                            └ bulkdata
                                └ {tag}/
                                    └ index.json

🌐 Deployment

With Docker Compose (Recommended)

This repository includes a ready-to-use Docker Compose setup with OHIF Viewer and Nginx:

# use samle_docker/docker-compose.yml placing your generated output in static_dicomweb/
docker-compose up

Access the viewer at http://localhost

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• OHIF Viewer - Open Health Imaging Foundation
• pydicom - Python library for DICOM files
• DICOMweb - Web standard for medical imaging