CycleGan-based kV-to-MV image translation for potential in vivo dosimetry application: concept proposal and cross-institutional validation
Without complex and time-consuming Monte Carlo simulations, the proposed ECA-CycleGAN network facilitates the efficient establishment of the reference MV portal images applicable to in vivo transmitted dosimetry. It may potentially improve the accuracy of dose delivery especially for the advanced treatment techniques when pretreatment measurement verification or inter-fractional dose remediation are impossible.
Authors
- Juan Deng (ORCID: https://orcid.org/0009-0006-4413-6972)
- Rui Qu (ORCID: https://orcid.org/0000-0002-7010-4097)
- Qing Lü (ORCID: https://orcid.org/0000-0001-7717-391X)
- Zhengkun Dong
- Yibao Zhang (ORCID: https://orcid.org/0000-0003-3658-0687)
- Xiang Fei (ORCID: https://orcid.org/0000-0002-0877-7047)
- Jiang Liu (ORCID: https://orcid.org/0000-0002-2541-7131)
- Tian Li (ORCID: https://orcid.org/0000-0002-1996-9001)
- Qiao Li (ORCID: https://orcid.org/0000-0003-4321-2647)
- Lin Chen (ORCID: https://orcid.org/0000-0003-3399-8711)
- Huimin Hu (ORCID: https://orcid.org/0000-0003-1167-7570)
- Shutong Yu
- Junfeng Qi
- Chuou Yin
- Zhexiang Song
- Guojian Mei
- Xiaoyun Le
Institutions
- Hong Kong Polytechnic University (HK)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- National Cancer Center (US)
- Mianyang Third People's Hospital (CN)
- Peking University Cancer Hospital (CN)
- Mianyang Central Hospital (CN)
- Sichuan Mianyang 404 Hospital (CN)
- Deyang Stomatological Hospital (CN)
- Ministry of Education (ET)
- Beihang University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1186/s12880-025-02111-3
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00