Purpose: We propose a deep learning-based strategy for the training of the radiotherapy dose calculation using limited data based on two known energy spectra within the general range of radiotherapy linear accelerators. Methods: We constructed a dose map using complete photon and electron Monte Carlo (MC) simulations with random rectangular field sizes, iso-centres, and gantry angles for pelvic computed tomography images with Mohan 4 and 24 MV spectrum photon beams. Two trained models, the virtual dose map-MC (VDM-MC) and improved VDM-MC (IVDM-MC) were tested under Mohan 4, 6, 10, 15, and 24 MV energy conditions in rectangular and intensity-modulated radiation therapy (IMRT) fields. A 3D gamma evaluation assessed the model's performance. Results: For VD-MC, the 3%/3 mm and 2%/2 mm criteria gamma pass rates were 92.58 +/- 0.87% and 85.31 +/- 1.56%, respectively, using the rectangular field test, whereas they were 97.03 +/- 0.63% and 90.97 +/- 1.46%, respectively, using the IMRT field test. For IVD-MC, the 3%/3 mm and 2%/2 mm criteria gamma pass rates were 97.86 +/- 0.35% and 92.98 +/- 0.77%, respectively, using the rectangular field test, and 98.57 +/- 0.14% and 95.11 +/- 0.33%, respectively, using the IMRT field test. Conclusion: Feasibility of a single model to achieve accurate and rapid MC dose calculations for photons with different energy spectra was preliminarily verified. This data augmentation strategy effectively generalised the scope of the model.
基金：
This study was supported by the National Natural Science Foundation of China (12005315) and the Guangzhou Science and Technology Plan (202102010264).
第一作者机构：[1]Sun Yat Sen Univ, Canc Ctr, Collaborat Innovat Ctr Canc Med, Dept Radiat Oncol,State Key Lab Oncol South China, Guangzhou 510060, Peoples R China
通讯作者：
推荐引用方式(GB/T 7714)：
Zhu Jinhan,Liu Xiaowei,Chen Lixin,et al.Feasibility of the photon spectrum generalisation model for rapid Monte Carlo dose calculation with a deep learning-based framework[J].RADIATION PHYSICS AND CHEMISTRY.2023,202:doi:10.1016/j.radphyschem.2022.110587.
APA：
Zhu, Jinhan,Liu, Xiaowei,Chen, Lixin,Zhang, Bailin&Wang, Xuetao.(2023).Feasibility of the photon spectrum generalisation model for rapid Monte Carlo dose calculation with a deep learning-based framework.RADIATION PHYSICS AND CHEMISTRY,202,
MLA：
Zhu, Jinhan,et al."Feasibility of the photon spectrum generalisation model for rapid Monte Carlo dose calculation with a deep learning-based framework".RADIATION PHYSICS AND CHEMISTRY 202.(2023)
