Daily proton dose re-calculation on deep-learning corrected cone-beam computed tomography scans
The DL network effectively generated high-quality sCT images with CT numbers, proton range, and dose characteristics comparable to fan-beam CT. Its robustness against intra-patient variations makes it a feasible tool for adaptive proton therapy.
Authors
- Liliana Stolarczyk
- L.P. Muren (ORCID: https://orcid.org/0000-0002-7418-5832)
- U.V. Elstrøm
- Stine Elleberg Petersen (ORCID: https://orcid.org/0009-0002-6516-6477)
- Ole Nørrevang (ORCID: https://orcid.org/0000-0002-2100-0208)
- Vicki Trier Taasti (ORCID: https://orcid.org/0000-0002-4588-9769)
- Casper Dueholm Vestergaard
Institutions
- Aarhus University (DK)
- Aarhus University Hospital (DK)
- Danish Pain Research Center (DK)
Publication Details
- Journal
- Radiotherapy and Oncology
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1016/j.radonc.2025.110953
- Citations
- 3
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.08