CycleGan-based kV-to-MV image translation for potential in vivo dosimetry application: concept proposal and cross-institutional validation

Rui Qu; Zhexiang Song; Qing Lü; Huimin Hu; Zhengkun Dong; Shutong Yu; Jiang Liu; Juan Deng; Guojian Mei; Chuou Yin; Qiao Li; Xiang Fei; Tian Li; Lin Chen; Junfeng Qi; Xiaoyun Le; Yibao Zhang

doi:10.1186/s12880-025-02111-3

Abstract

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.

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Year: 2025
Type: article
Citations: 0
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APA Style

                            
                                    Rui Qu, 
                                
                                    Zhexiang Song, 
                                
                                    Qing Lü
                                
                                et al.
                            
                            (2025). 
                            CycleGan-based kV-to-MV image translation for potential in vivo dosimetry application: concept proposal and cross-institutional validation. 
                            BMC Medical Imaging
                            
                            .
                            https://doi.org/10.1186/s12880-025-02111-3

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DOI: 10.1186/s12880-025-02111-3