About The Project

The DICOM standard is ready for any developer in the orthodontic community to implement. However, it can be complicated and implementation can be time consuming. DICOM CP 1570 added the acquisition-context attributes and codes needed for interoperable orthodontic photographs.

dicom4ortho directly implements ADA-1107. ADA-1107 is a not-yet-published, IHE-style implementation profile that specifies how the ADA 1100 orthodontic image types and ADA 1114 DICOM requirements are applied together. Support for ADA 1100 and ADA 1114 is therefore indirect through the draft ADA-1107 profile. The profile uses the additions from DICOM CP 1570.

We want to create a proof of concept to demonstrate how to properly store orthodontic visible light images (aka photographs) using DICOM, while ensuring all codes (necessary to uniquely identify each image type) are in the proper place.

Here’s why:

  • Your time should be focused on creating something amazing.

  • Being able to import and export DICOM images to and from your orthodontic software will open doors to you and the orthodontic provider.

  • No one software will serve all orthodontic providers completely. Adding interoperability will allow your product to integrate with others, giving additional value to your solution.

You may suggest changes by forking this repo and creating a pull request or opening an issue. Thanks to all the people have have contributed to this project!

A list of commonly used resources that we find helpful are listed in the acknowledgements.

Built With

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project

  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)

  3. Commit your Changes (git commit -m 'Add some AmazingFeature')

  4. Push to the Branch (git push origin feature/AmazingFeature)

  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Toni Magni- [@zgypa](https://twitter.com/zgypa) - open-ortho@afm.co

Project Link: https://open-ortho.github.io

Resources

Required for testing currently: dicom3tools, in particular dciodvfy binary.

Acknowledgements