基于Pylinac的医用直线加速器射线质分析方法探究

    An Investigation into Methods of Beam Quality Analysis for Medical Linear Accelerators Based on Pylinac

    • 摘要: 医用直线加速器束流射线质的准确性和稳定性关乎整个放射治疗的精度,通过开源程序包来实现束流特性的定量分析,提出一种更加便捷准确的数据分析方法。利用指形电离室与EPID获取射线质信息,用基于Python的Pylinac程序包对射线的绝对输出剂量、均整度、对称性、百分深度曲线定量分析,并将EPID分析的结果与主流探测分析仪器对比分析。程序包能准确计算绝对输出剂量等信息,EPID的分析结果与Mapcheck结果没有显著性差异(p<0.05)。Gamma(1 mm/1%)值表明测量曲线与建模数据具有很好的一致性(γ=96.2%)。Pylinac能够准确评估加速器射线质特性,可以用作加速器日检、月检、年检的工具。

       

      Abstract: The accuracy and stability of the beam quality in medical linear accelerators (LINAC) are crucial for the precision of radiation therapy. This study introduces a more convenient and accurate method for quantitatively analyzing beam characteristics using the open-source Pylinac program. Beam quality information was obtained using thimble ionization chambers and electronic portal imaging devices (EPIDs). The Python-based Pylinac program was used for quantitative analysis of the absolute output dose, flatness, symmetry, and percentage depth dose curves. Furthermore, the results of the EPID analysis were compared with those of mainstream detection analysis instruments, such as MapCheck. The program was able to accurately calculate the absolute output dose and other parameters, with no significant differences observed between the results of the EPID and MapCheck (p < 0.05). The gamma (1 mm/1%) value indicated a high level of consistency between the measured curves and the model data (γ = 96.2%). Pylinac can accurately evaluate the beam quality characteristics of accelerators and can serve as a tool for daily, monthly, and annual inspections.

       

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