Linking RayStation AI auto-contouring with Eclipse TPS: A scripted workflow for clinical integration
This automated cross-platform integration enables deep learning segmentation from RayStation to be accessed directly within Eclipse, offering a streamlined and scalable contouring solution. It enhances planning efficiency, reduces inter-observer variability, and allows clinicians to benefit from state-of-the-art AI tools within their existing TPS. The framework is modular and adaptable to evolving clinical protocols, serving as a practical example of multi-vendor system interoperability in modern radiotherapy planning.
Authors
- Adam Ryczkowski (ORCID: https://orcid.org/0000-0001-5106-5152)
- Agata Jodda (ORCID: https://orcid.org/0000-0001-8689-6319)
- T. Piotrowski (ORCID: https://orcid.org/0000-0002-8894-7412)
Institutions
- Poznan University of Medical Sciences (PL)
- Greater Poland Cancer Center (PL)
- Adam Mickiewicz University in Poznań (PL)
Publication Details
- Journal
- Reports of Practical Oncology & Radiotherapy
- Published
- 2025-10-31
- DOI
- https://doi.org/10.5603/rpor.109182
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00