A unified generation‐registration framework for improved MR‐based CT synthesis in proton therapy
This study conclusively demonstrates that a holistic MR-based CT synthesis approach, integrating both image-to-image translation and deformable registration, significantly improves the precision and quality of sCT generation, particularly for the challenging body area with varied anatomic changes between corresponding MR and CT.
Authors
- Renato Bellotti (ORCID: https://orcid.org/0000-0002-2702-0437)
- Jan Hrbáček (ORCID: https://orcid.org/0000-0002-4243-8698)
- Joachim M. Buhmann (ORCID: https://orcid.org/0000-0002-6613-7101)
- Damien C. Weber (ORCID: https://orcid.org/0000-0003-1166-8236)
- Ye Zhang (ORCID: https://orcid.org/0000-0003-1608-4467)
- Xia Li (ORCID: https://orcid.org/0000-0003-2284-1700)
- Antony Lomax (ORCID: https://orcid.org/0000-0002-0666-425X)
- Barbara Bachtiary
Institutions
- University of Bern (CH)
- University Hospital of Bern (CH)
- Paul Scherrer Institute (CH)
- ETH Zurich (CH)
- University Hospital of Zurich (CH)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1002/mp.17338
- Citations
- 3
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Horizon 2020 Framework Programme