Machine-learning-based integration of temporal and spectral prompt gamma-ray information for proton range verification
While spectral information did not contribute additional value for determining proton beam range shifts in the investigated setup, the findings show that temporal information alone is sufficient to perform accurate proton range verification.
Authors
- Aaron Kieslich (ORCID: https://orcid.org/0009-0000-2227-2013)
- Sonja M. Schellhammer (ORCID: https://orcid.org/0000-0002-9742-8518)
- T. Kögler (ORCID: https://orcid.org/0000-0002-9501-0898)
- Steffen Löck (ORCID: https://orcid.org/0000-0002-7017-3738)
- Alex Zwanenburg (ORCID: https://orcid.org/0000-0002-0342-9545)
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- Helmholtz-Zentrum Dresden-Rossendorf (DE)
- OncoRay (DE)
- Zittau/Görlitz University of Applied Sciences (DE)
- University Hospital Carl Gustav Carus (DE)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1016/j.phro.2025.100788
- Primary Topic
- Radiation Therapy and Dosimetry
- Type
- article
- Field-Weighted Citation Impact
- 0.00