English(EN) Generalizable dose denoising using diffusion transformer framework for pencil beam scanning proton therapy

扩散 Transformer 框架增强质子治疗剂量去噪

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-31 04:00

研究人员开发了一种扩散 Transformer 框架，用于对质子治疗中使用的低统计蒙特卡罗模拟进行去噪。该方法在保持剂量计算准确性的同时显著缩短了计算时间，这对于在线治疗调整至关重要。该框架在各种癌症类型中表现出强大的性能，并且能够很好地泛化到其初始训练数据之外。 AI

影响这项研究通过实现更快、更准确的剂量计算，有可能加速质子治疗中的治疗计划。

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arXiv cs.AI TIER_1 English(EN) · Yuzhen Ding, Hongying Feng, Jianfeng Zhao, Jason Holmes, Martin Bues, Lisa A. McGee, Jean-Claude M. Rwigema, Nathan Y. Yu, Terence T. Sio, Sameer R. Keole, William W. Wong, Steven E. Schild, Jonathan B. Ashman, Sujay A. Vora, Daniel J. Ma, Samir H. Patel… · 2026-10-31 04:00

用于笔形束扫描质子治疗的基于扩散 Transformer 框架的可泛化剂量去噪

arXiv:2506.04467v2 Announce Type: replace-cross Abstract: Background and purpose: Intensity-modulated proton therapy (IMPT) enables conformal dose delivery for head and neck (H&N) cancers. However, its sensitivity to inter-fractional anatomical changes motivates online adapta…