Comparison of deep learning-based segmentation and registration using pre-treatment contours for online rectal delineation in magnetic resonance-guided radiotherapy
Deep learning-based segmentation was identified as the optimal approach for incorporating the planning CTV into online rectal delineation in MRgRT.
Authors
- Matteo Maspero (ORCID: https://orcid.org/0000-0003-0347-3375)
- Martijn Intven (ORCID: https://orcid.org/0000-0002-5068-5517)
- Gert J. Meijer (ORCID: https://orcid.org/0000-0001-7275-319X)
- M.H.F. Savenije (ORCID: https://orcid.org/0000-0001-8170-2546)
- Josien P. W. Pluim (ORCID: https://orcid.org/0000-0001-7327-9178)
- Koen M. Kuijer (ORCID: https://orcid.org/0009-0000-1681-8980)
- Iris D. Kolenbrander (ORCID: https://orcid.org/0000-0002-0119-6530)
Institutions
- Utrecht University (NL)
- University Medical Center Utrecht (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.phro.2025.100854
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00