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Dosimetric quality control of Eclipse treatment planning system using pelvic digital test object

机译:盆腔数字测试对象的eclipse治疗规划系统的剂量测量控制

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Last year, we demonstrated the feasibility of a new method to perform dosimetric quality control of Treatment Planning Systems in radiotherapy [1], this method is based on Monte-Carlo simulations and uses anatomical Digital Test Objects (DTOs). The pelvic DTO was used in order to assess this new method on an ECLIPSE VARIAN Treatment Planning System. Large dose variations were observed particularly in air and bone equivalent material. In this current work, we discuss the results of the previous paper [1] and provide an explanation for observed dose differences, the VARIAN Eclipse (Anisotropic Analytical) algorithm was investigated. Monte Carlo simulations (MC) were performed with a PENELOPE code version 2003[2, 3]. To increase efficiency of MC simulations, we have used our parallelized version based on the standard MPI (Message Passing Interface). The parallel code has been run on a 32-processor SGI cluster. The study was carried out using pelvic DTOs and was performed for low- and high-energy photon beams (6 and 18MV) on 2100CD VARIAN linear accelerator. A square field (10x10 cm~2) was used. Assuming the MC data as reference, x index [4] analyze was carried out. For this study, a distance to agreement (DTA) was set to 7mm while the dose difference was set to 5% as recommended in the TRS-430 and TG-53 (on the beam axis in 3-D inhomogeneities) [5, 6]. When using Monte Carlo PENELOPE, the absorbed dose is computed to the medium, however the TPS computes dose to water [7, 8]. We have used the method described by Siebers et al. [7] based on Bragg-Gray cavity theory to convert MC simulated dose to medium to dose to water. Results show a strong consistency between ECLIPSE and MC calculations on the beam axis.
机译:去年,我们证明了一种新方法在放射治疗中进行治疗计划系统的新方法的可行性[1],这种方法基于Monte-Carlo仿真,并使用解剖数字测试对象(DTO)。使用骨盆DTO来评估在Eclipse Varian治疗计划系统上的这种新方法。特别是在空气和骨等同材料中观察到大剂量变化。在本前的工作中,我们讨论了先前论文[1]的结果,并对观察到的剂量差异提供了解释,研究了Varian Eclipse(各向异性分析)算法。 Monte Carlo模拟(MC)进行了Penelope Code版本2003 [2,3]进行。为了提高MC模拟的效率,我们使用了基于标准MPI(消息传递接口)的并行化版本。并行代码已在32处理器SGI集群上运行。使用盆腔DTO进行该研究,并在2100CD Varian线性加速器上用于低能量光子束(6和18mV)进行。使用平方场(10x10cm〜2)。假设MC数据作为参考,执行X指数[4]分析。对于该研究,将与协议(DTA)的距离设定为7mm,而当剂量差异设定为5%,如TRS-430和TG-53(在3-D不均匀的梁轴上)[5,6 ]。使用Monte Carlo Penelope时,将吸收剂量计算到介质,但TPS计算剂量[7,8]。我们使用了Siebers等人描述的方法。基于布拉格 - 灰色腔理论将MC模拟剂量转化为培养基给水。结果在光束轴上的Eclipse和MC计算之间显示出强大一致性。

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