Feasibility and time gain of implementing artificial intelligence-based delineation tools in daily magnetic resonance image-guided adaptive prostate cancer radiotherapy
Implementing an AI-based workflow at the 1.5 T MRI-Linac is feasible and reduces the delineation time. Lower variance in delineation duration supports a better ability to plan daily treatment schedules and avoids delays.
Authors
- Bahar Çelik
- Tine Schytte (ORCID: https://orcid.org/0000-0002-6705-1561)
- Christina Junker Nyborg
- Lars Dysager
- Carsten Brink (ORCID: https://orcid.org/0000-0003-3906-1962)
- Ebbe Laugaard Lorenzen (ORCID: https://orcid.org/0000-0003-1895-733X)
- Maximilian Konrad
- Uffe Bernchou (ORCID: https://orcid.org/0000-0002-5309-2696)
- A. Bertelsen (ORCID: https://orcid.org/0000-0003-0022-0786)
Institutions
- University of Southern Denmark (DK)
- Odense University Hospital (DK)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2024-12-28
- DOI
- https://doi.org/10.1016/j.phro.2024.100694
- Citations
- 7
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.25
Funders
- Odense Universitetshospital