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The Influence of Energy Indexing Algorithm and Electron Substeps on MCNP4C Electron Transport: Application in Monte Carlo Simulation of X-ray Spectra in Diagnostic Radiology and Mammography

机译:能源指数算法和电子代入物对MCNP4C电子传输的影响:在诊断放射学和乳房X线摄影中的X射线光谱蒙特卡罗模拟中的应用

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The random walk for electron transport in the MCNP4C general purpose Monte Carlo code is derived from ITS3.0, which is a well validated code for coupled electron/photon transport. The continuous slowing down approximation energy loss model is used for electron transport where the MCNP4C code breaks the electron's path into many steps. In this study, the influence of substeps and choice of electron energy indexing algorithm for electron transport on the simulation of X-ray spectra in diagnostic radiology and mammography energy range is investigated. For the simulation of X-ray spectra for tungsten (W) and molybdenum (Mo) targets at different tube voltages, the code was run in photon and electron mode with different substeps and energy indexing algorithms using default values for PHYS:P and PHYS:E cards. The simulated X-ray spectra were compared with the spectra calculated by IPEM report number 78. An average relative difference (ARD) of 11.9%, 13.7% and 14.1% were calculated between the simulated W target spectra using MCNP and ITS energy indexing algorithms at tube voltages of 80, 100 and 120 kVp, respectively. The ARD for Mo target spectra at tube voltages of 25 and 30 kVp was 16.6% and 16.7%, respectively. There is no noticeable difference between the spectra simulated using different substeps in both mammography and radiology energy range; however the simulation time increased by 43.8% and 44.2% when the substeps are set to twice the default value for W and Mo targets, respectively. Generally, there is a good agreement between the simulated and IPEM spectra, although the results suggest slight differences between the simulated spectra using different energy indexing algorithms and electron substeps which tend to be reduced by the normalization process. It is concluded that the energy indexing algorithm and electron substeps have limited influence on electron transport in MCNP4C for the purpose of simulating X-ray spectra in diagnostic radiology and mammography.
机译:MCNP4C通用Monte Carlo Code中的电子传输随机步行源自ITS3.0,这是一种良好的验证代码,用于耦合电子/光子传输。连续减速逼进近似能量损失模型用于电子传输,其中MCNP4C代码将电子路径中断到许多步骤中。在该研究中,研究了代表性的影响和电子能源指数算法的选择电子传输对诊断放射学中X射线光谱的模拟和乳房X线摄影能量范围。对于用于不同管电压的钨(W)和钼(MO)目标的X射线光谱模拟,使用不同的子步骤和能量索引算法在光子和电子模式下运行代码,使用Phys的默认值:p和phy:电子卡。将模拟X射线光谱与由IPEM报告编号78计算的光谱进行比较。使用MCNP及其能量指数算法在模拟的W靶光谱之间计算11.9%,13.7%和14.1%的平均相对差(ARD)管电压分别为80,100和120 kVp。 25至30 kVP管电压下的Mo靶光谱的ARD分别为16.6%和16.7%。在乳房摄影和放射能量范围内使用不同的子步骤模拟的光谱之间没有明显的差异;然而,当子步骤设置为W和Mo目标的默认值时,模拟时间增加了43.8%和44.2%。通常,模拟和IPEM光谱之间存在良好的一致性,尽管结果表明使用不同能量指数算法和电子代入物之间的模拟光谱略微差异,其往往通过归一化过程减少。结论是,为了模拟诊断放射学和乳房X光检查的目的,能量指数算法和电子代表性对MCNP4C的电子传输影响有限。

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