Objective. Accurate dose verification remains a major challenge in particle therapy. Dose monitoring methods such as positron emission tomography (PET) and prompt-gamma (PG) imaging are highly sensitive to uncertainties in tissue composition derived from CT, which can be improved by dual-energy CT (DECT)-based material...
Yan Li, Wei-Guang Li, Xin-Yu Hu et al.· Physics in Medicine and Biol...· 0 citations
Objective. In-beam positron emission tomography (PET) provides a promising strategy for dose monitoring in carbon ion radiotherapy (CIRT), but accurate dose prediction remains difficult due to the complex, nonlinear relationship between positron-emitter activity and physical dose deposition. This proof-of-concept study...
Xin-Yu Hu, Yan Li, Wei-Guang Li et al.· Physics in Medicine and Biol...· 0 citations
The proposed framework improves dose prediction while incorporating physically meaningful priors into the learning process, offering a promising basis for PET-based dose-monitoring model development in CIRT.
Yan Li, Wei-Guang Li, Xin-Yu Hu et al.· 0 citations
The proposed surface-aware DDIM-RePaint framework provided an accurate and efficient approach for longitudinal CBCT FOV extension, potentially facilitating patient setup and ART planning without extra imaging dose and hardware upgrade.
Jueye Zhang, Qijian Lu, Ya-Si Zhang et al.· 0 citations
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