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Carbon ion radiotherapy (CIRT) offers high LET and RBE for treating radioresistant tumors but suffers from biological dose inhomogeneity due to RBE uncertainties. Techniques like LET painting focus on optimizing LET but do not directly address biological effe...
Proton LATTICE (pLATTICE) therapy delivers spatially heterogeneous dose distributions with high‑dose peaks embedded within low‑dose valleys. Conventional pLATTICE planning typically uses multiple beam angles per peak, making peak localization vulnerable to pr...
In intensity-modulated proton therapy (IMPT), spot positions are conventionally fixed on uniform grids, and optimization is limited to spot weights. This constraint can restrict achievable dose conformity and increase the number of spots required to meet clin...
Proton PBS treatment planning relies on iterative numerical optimization and is time-consuming. Deep learning enables rapid inference and therefore has the potential for fast prediction of beamlet intensities from anatomical imaging inputs (e.g., CT voxels an...
Conventional intensity-modulated proton therapy (IMPT) planning commonly relies on fixed, uniformly distributed spot grids with optimization restricted to spot weights. Although adaptive spot placement has been explored to improve dose conformity, particularl...