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面向等时回旋加速器下混合康普顿-PET三维成像的实时离子射程验证

Towards real-time ion range verification via hybrid Compton-PET 3D imaging at isochronous cyclotrons

Javier Balibrea-Correa, V. Babiano-Suarez, J. Lerendegui-Marco, P. Torres-Sánchez, I. Ladarescu, M. Pallàs, B. Brusasco, J. Wulff, C. Bäumer, A. Tarifeño-Saldivia, C. Domingo-Pardo

arXiv 2609.25993首次发表:更新:

发表机构

Instituto de Física Corpuscular (CSIC-University of Valencia); Universitat Politècnica de Catalunya; GSI Helmholtzzentrum für Schwerionenforschung; Institut für Kernphysik, Technische Universität Darmstadt; West German Proton Therapy Centre(粒子物理研究所(西班牙科学理事会-瓦伦西亚大学); 加泰罗尼亚理工大学; 德国重离子研究中心; 达姆施塔特工业大学核物理研究所; 西德质子治疗中心)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本研究在等时回旋加速器上实验验证了混合PGI-PET三维成像用于质子射程验证,PET精度达0.8毫米,展示了其临床应用的互补优势。

AI 中文摘要

射程不确定性仍然是质子治疗全面临床开发的主要限制,这促使了可靠的体内射程验证技术的需求。本研究在德国西部质子治疗中心的等时回旋加速器上,在临床代表性的笔束扫描条件下,对混合瞬发伽马成像(PGI)—正电子发射断层扫描(PET)概念进行了实验研究。由于该加速器提供准连续束流,因此采用了脉冲式“射击-步进”结构来模拟与临床能量层切换相关的中断。这使得在同一序列中,在辐照期间进行PGI,在束流关闭间隔内进行PET和延迟康普顿成像成为可能。四台双平面康普顿相机以共面十字形几何结构围绕束流等中心布置。用100 MeV质子沿束流轴在已知位置照射聚乙烯体模。通过监督机器学习模型从重建的一维剖面中估计其位置,这些模型仅使用蒙特卡洛模拟进行训练。PET取得了最佳性能,均方根偏差为0.8毫米,其次是PGI,为1.6毫米。基于e$^{+}$湮灭光子和$^{10}$C$^{*}$衰变的延迟康普顿成像分别产生了2.4毫米和3.8毫米的结果。PET在事件统计量降至原始水平的1%时仍保持良好的性能,而PGI则逐渐受到统计限制。这些结果证明了混合PGI-PET的互补优势,并支持其在临床相关辐照条件下向毫米级质子射程验证方向发展。

英文摘要

Range uncertainties remain a major limitation to the full clinical exploitation of proton therapy, motivating reliable in-vivo range-verification techniques. This work presents an experimental investigation of a hybrid Prompt-Gamma Imaging (PGI)--Positron-Emission Tomography (PET) concept at the isochronous cyclotron of the West German Proton Therapy Centre under clinically representative pencil-beam-scanning conditions. Because this accelerator delivers a quasi-continuous beam, a pulsed shoot-and-step structure was imposed to mimic the interruptions associated with clinical energy-layer switching. This enabled PGI during irradiation and PET and delayed Compton imaging during beam-off intervals within the same sequence. Four two-plane Compton cameras were arranged in a co-planar cross-shaped geometry around the beam isocenter. Polyethylene phantoms were irradiated with 100~MeV protons at known positions along the beam axis. Their positions were estimated from reconstructed one-dimensional profiles using supervised machine-learning models trained exclusively on Monte Carlo simulations. PET achieved the best performance, with a root-mean-square deviation of 0.8~mm, followed by PGI with 1.6~mm. Delayed Compton imaging based on e$^{+}$ annihilation photons and $^{10}$C$^{*}$ decays yielded 2.4~mm and 3.8~mm, respectively. PET retained good performance down to 1% of the original event statistics, whereas PGI became increasingly statistics-limited. These results demonstrate the complementary strengths of hybrid PGI--PET and support its development towards millimetre-scale proton-range verification under clinically relevant irradiation conditions.

论文原文

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