Monte Carlo simulation is appreciated as an extraordinary technique to investigate particle physic processes in Radiation Therapy. This task offers a new Virtual Source Model (VSM) based on an innovative reconstruction method to extract energy and angular distribution from the Python phase space output data. Extensive comparisons of dose distributions are performed to evaluate VSM simulation precision. Four squared field configurations extending from 3נ3 to 20נ20 cm² are chosen for dose calculation to test field size and symmetry influences. To evaluate simulation accuracy, the beam quality parameters (such as D ₁₀ (%), d _max (cm), d ₈₀ (cm), and ) also validation tests (gamma index formalism for 2%/2 mm criteria, Distance To Agreement DTA, and the estimator standard error (ϵ, ϵ _max)) are determined. Good agreement is achieved in terms of beam quality parameters and validation tests for each evaluated beam size, within a computation time of 58 hours and 17 hours on 20 nodes (presents 160 CPUs) of the full simulation and the VSM, respectively. This advanced VSM generated for the Elekta Synergy MLCi2 platform displays an uncomplicated approach. It is a great example of reconstructing different x-ray beams of various linac accelerators to facilitate its integration in cancer treatment.

蒙特卡罗模拟被认为是研究放射治疗中粒子物理过程的一种非凡技术。该任务提供了一种基于创新重建方法的新虚拟源模型 (VSM)，用于从 Python 相空间输出数据中提取能量和角度分布。对剂量分布进行了广泛比较，以评估 VSM 模拟精度。选择从 3נ3 到 20נ20 cm ²的四种方形视野配置用于剂量计算，以测试视野大小和对称性影响。为了评估模拟精度，光束质量参数（例如D ₁₀ (%)、d _max (cm)、d ₈₀ (cm) 和_{) 还确定了验证测试（用于 2%/ 2} mm 标准的伽马指数形式、距离协议 DTA 和估计器标准误差 ( ε , εmax )）。在完全模拟和 VSM 的 20 个节点（提供 160 个 CPU）上，分别在 58 小时和 17 小时的计算时间内，在每个评估的光束尺寸的光束质量参数和验证测试方面实现了良好的一致性。为 Elekta Synergy MLCi2 平台生成的这种高级 VSM 显示了一种简单的方法。这是重建各种直线加速器的不同 X 射线束以促进其在癌症治疗中的整合的一个很好的例子。