首页> 外文会议>International Conference of Computational Methods in Sciences and Engineering >Determination of the Sensitivity of Trajectory Log Files Gamma Analysis - a Method Based on Python Scripts
【24h】

Determination of the Sensitivity of Trajectory Log Files Gamma Analysis - a Method Based on Python Scripts

机译:确定轨迹日志文件伽马分析的敏感性 - 一种基于Python脚本的方法

获取原文

摘要

The aim of the study is to investigate and compare gamma index (y) results obtained from the Trajectory log (TL) file of linear accelerator (Linac) to y results obtained by Portal Dosimetry (PD) measurements. The Treatment planning system Eclipse was used to change the Dosimetric Leaf Gap (DLG) in order to study its influence on y. In this paper, we used the python script API Pylinac (v.2.2.6) to analyze the TL file which stores the performance parameter data of the Linac for radiotherapy, in our case Varian True Beam STX. The results for the gamma passing rate (%GP) obtained from TL tend to be higher from those obtained by PD. We found that the values of %GP obtained by the two methods become comparable when the dose difference criterion used for TL data is 8 to 10 times smaller than the same criterion used with PD data. The methodology described here would allow a verification of the gamma analysis results by using the python script API Pylinac. This could make the verication of the plan before the treatment process more precise and reliable.
机译:该研究的目的是调查和比较从线性加速器(LINAC)的轨迹日志(TL)文件获得的伽马指数(Y)结果,以通过门户剂量测定(PD)测量获得的Y结果。治疗计划系统Eclipse用于改变剂量叶片间隙(DLG)以研究其对Y的影响。在本文中,我们使用了Python脚本API Pylinac(v.2.2.6)来分析TL文件,该TL文件将Linac的性能参数数据用于放射疗法,在我们的情况下,在我们的情况下,在varian True Beam STX中。从T1获得的γ通过速率(%GP)的结果往往从Pd获得的速率更高。我们发现,当用于TL数据的剂量差值是比与PD数据一起使用的相同标准小的8至10倍时,通过两种方法获得的%GP值变得可比。这里描述的方法将允许通过使用Python脚本API Pylinac验证伽马分析结果。这可以在治疗过程之前进行计划,更精确可靠。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号