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用于机器人安装的立体定向放射外科手术机器的常见屏蔽材料的十分之一值层分析。

Analysis of tenth-value-layers for common shielding materials for a robotically mounted stereotactic radiosurgery machine.

作者信息

Rodgers James E

机构信息

RadAmerica, 9105 Franklin Square Drive, Baltimore, MD 21237, USA.

出版信息

Health Phys. 2007 Apr;92(4):379-86. doi: 10.1097/01.HP.0000252258.58618.6a.

Abstract

Tenth-value-layers (TVLs) for a 6 MV stereotactic radiosurgery (SRS) x-ray beam have been computed using Monte Carlo methods for radiation transport simulation. The first and equilibrium TVLs were determined in the three most common building materials used in radiation therapy vault construction: ordinary concrete, lead, and steel (iron). In contrast to broad-beam 6 MV TVL data found in the literature, the SRS TVLs can change rapidly with the size of the radiation field incident on the barrier. This research has investigated characteristics of TVLs as a function of field size (diameter) at the barrier for all materials, with special attention given to the TVL properties in iron. The x-ray spectrum used to perform these simulations was generated for the CyberKnife accelerator with the BEAMnrc Monte Carlo code. Using this spectrum as input to the MCNP5 Monte Carlo code, predicted tissue-maximum-ratio (TMR) values for a 6-cm-diameter field (at 80 cm from the target) were benchmarked against measured TMR data. The MCNP5 code was used to simulate all barrier transmissions, keeping the standard error of each data point below 1% of the mean. Results compare very well with previous measured concrete TVLs and also with published broad-beam 6 MV TVL data for all three barrier materials.

摘要

已使用蒙特卡罗方法进行辐射传输模拟,计算了6兆伏立体定向放射外科(SRS)X射线束的十分之一值层(TVL)。在放射治疗室建造中使用的三种最常见建筑材料(普通混凝土、铅和钢(铁))中确定了初始TVL和平衡TVL。与文献中发现的宽束6兆伏TVL数据不同,SRS的TVL会随着入射到屏蔽层上的辐射野大小而迅速变化。本研究调查了所有材料在屏蔽层处TVL随野大小(直径)变化的特性,特别关注了铁中的TVL特性。用于执行这些模拟的X射线能谱是使用BEAMnrc蒙特卡罗代码为赛博刀加速器生成的。将该能谱作为输入提供给MCNP5蒙特卡罗代码,针对直径6厘米的射野(距靶点80厘米处)预测的组织最大剂量比(TMR)值与实测TMR数据进行了比对。使用MCNP5代码模拟所有屏蔽层的透射情况,使每个数据点的标准误差低于平均值的1%。结果与先前测量的混凝土TVL以及所有三种屏蔽材料已发表的宽束6兆伏TVL数据相比非常吻合。

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