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Determination of MLC model parameters for Monaco using commercial diode arrays

机译:使用商用二极管阵列确定摩纳哥的MLC模型参数

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Multileaf collimators (MLCs) need to be characterized accurately in treatment planning systems to facilitate accurate intensity-modulated radiation therapy (IMRT) and volumetric-modulated arc therapy (VMAT). The aim of this study was to examine the use of MapCHECK 2 and ArcCHECK diode arrays for optimizing MLC parameters in Monaco X-ray voxel Monte Carlo (XVMC) dose calculation algorithm. A series of radiation test beams designed to evaluate MLC model parameters were delivered to MapCHECK 2, ArcCHECK, and EBT3 Gafchromic film for comparison. Initial comparison of the calculated and ArcCHECK-measured dose distributions revealed it was unclear how to change the MLC parameters to gain agreement. This ambiguity arose due to an insufficient sampling of the test field dose distributions and unexpected discrepancies in the open parts of some test fields. Consequently, the XVMC MLC parameters were optimized based on MapCHECK 2 measurements. Gafchromic EBT3 film was used to verify the accuracy of MapCHECK 2 measured dose distributions. It was found that adjustment of the MLC parameters from their default values resulted in improved global gamma analysis pass rates for MapCHECK 2 measurements versus calculated dose. The lowest pass rate of any MLC-modulated test beam improved from 68.5% to 93.5% with 3% and 2 mm gamma criteria. Given the close agreement of the optimized model to both MapCHECK 2 and film, the optimized model was used as a benchmark to highlight the relatively large discrepancies in some of the test field dose distributions found with ArcCHECK. Comparison between the optimized model-calculated dose and ArcCHECK-measured dose resulted in global gamma pass rates which ranged from 70.0%–97.9% for gamma criteria of 3% and 2 mm. The simple square fields yielded high pass rates. The lower gamma pass rates were attributed to the ArcCHECK overestimating the dose in-field for the rectangular test fields whose long axis was parallel to the long axis of the ArcCHECK. Considering ArcCHECK measurement issues and the lower gamma pass rates for the MLC-modulated test beams, it was concluded that MapCHECK 2 was a more suitable detector than ArcCHECK for the optimization process.PACS number(s): 87.55.Qr
机译:在治疗计划系统中需要对多叶准直仪(MLC)进行准确表征,以促进精确的强度调制放射治疗(IMRT)和体积调制电弧治疗(VMAT)。这项研究的目的是研究在摩纳哥X射线体素蒙特卡洛(XVMC)剂量计算算法中使用MapCHECK 2和ArcCHECK二极管阵列优化MLC参数的方法。为评估MLC模型参数而设计的一系列辐射测试光束已交付给MapCHECK 2,ArcCHECK和EBT3全反射膜进行比较。最初对计算出的剂量分布和ArcCHECK测量出的剂量分布进行比较后发现,目前尚不清楚如何更改MLC参数以获得一致性。由于测试场剂量分布的采样不足以及某些测试场的开放部分中的意外差异,导致了这种歧义。因此,基于MapCHECK 2测量对XVMC MLC参数进行了优化。使用全色EBT3膜来验证MapCHECK 2测得的剂量分布的准确性。已发现,将MLC参数从其默认值进行调整会导致MapCHECK 2测量的总体伽马分析通过率相对于计算剂量得到提高。在3%和2 mm伽玛标准下,任何MLC调制的测试光束的最低通过率从68.5%提高到93.5%。鉴于优化模型与MapCHECK 2和胶片都非常吻合,因此将优化模型用作基准以突出显示在用ArcCHECK发现的某些测试场剂量分布中相对较大的差异。优化模型计算的剂量与ArcCHECK测量的剂量之间的比较得出,对于3%和2 mm的伽玛标准,总体伽玛通过率介于70.0%至97.9%之间。简单的正方形场产生高通过率。较低的伽玛通过率归因于ArcCHECK高估了矩形测试场的剂量场,该矩形测试场的长轴平行于ArcCHECK的长轴。考虑到ArcCHECK测量问题和MLC调制测试光束的较低伽玛通过率,因此得出结论认为MapCHECK 2比ArcCHECK更适合用于优化过程.PACS编号:87.55.Qr

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