Few‐shot CBCT‐based synthetic CT generation with denoising diffusion probabilistic model
Our work offered a practical, data-efficient and site-robust solution for clinics to generate high-fidelity sCTs, facilitating CBCT-based dose evaluation and plan adaptation in adaptive radiotherapy workflows.
Authors
- Xin Du (ORCID: https://orcid.org/0000-0002-6215-9733)
- Gillian C. Barnett (ORCID: https://orcid.org/0000-0002-1762-5942)
- Ping Lin Yeap (ORCID: https://orcid.org/0009-0004-0061-5889)
- Meng Zhou (ORCID: https://orcid.org/0009-0007-8541-2782)
- Andrew Hoole
- Rajesh Jena
Institutions
- Chinese University of Hong Kong (HK)
- University of Cambridge (GB)
- Cambridge University Hospitals NHS Foundation Trust (GB)
- Addenbrooke's Hospital (GB)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1002/mp.70126
- Citations
- 1
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.88