摘要
目的实现CT定位影像和轮廓自动导入Eclipse和Monaco两套治疗计划系统(TPS)。方法基于Eclipse和Monaco的TPS,利用流程自动化可编程程序UiBot,根据Eclipse和Monaco各自CT定位影像和轮廓导入流程,使用UiBot提供的窗口元素等功能开发出CT定位影像和轮廓自动导入的自动化脚本程序。结果通过比较手动导入和自动导入的导入时间,自动化脚本程序不仅实现了从CT定位影像和轮廓到Eclipse和Monaco的TPS准确自动导入,而且也具有与手动导入相同的效率。大部分患者影像层数在130~180之间,且手动导入时间与自动导入时间在此区间的平均时间为76s和75s。结论通过利用脚本开发程序UiBot的自动化功能,结合放疗工作的实际问题和重复的工作流程可以开发出自动化的脚本,极大提高了放疗工作效率,节约了人力和时间成本,为放疗流程自动化提供了一种可选择的新方法。
Objective To build a systemic and automatic importing scheme for importing CT images and structures into the treatment planning systems(TPSs)of Eclipse and Monaco.Methods Based on two TPSs of Eclipse and Monaco,the files of CT images and structures were automatically transported from OAR auto-delineation system to the importing directory of these two TPSs using batch script in Windows system.Following the standard importing procedures of these two TPSs,the automatically importing script of CT images and structures were developed using the application of UiBot.Finally,the CT images and structures were imported into these two TPSs opportunely.Results By comparing the importing time using script and manual methods,the script not only achieved auto-importing CT images and structures into TPSs,but also yielded almost the same efficiency to manual method.The number of imaging layers in most patients was between 130 and 180,and the average manual and automatic importing time within this interval was 76s and 75s.Conclusions Automatic scripts can be developed by using the automation function of UiBot combined with the actual problems of radiotherapy and repeated workflow.The efficiency of radiotherapy work can be significantly improved.Manual and time costs can be saved.It provides a novel alternative for the automation of radiotherapy procedures.
作者
李兵
程志垚
郭伟
毛荣虎
娄朝阳
程秀艳
葛红
Li Bing;Cheng Zhiyao;Guo Wei;Mao Ronghu;Lou Zhaoyang;Cheng Xiuyan;Ge Hong(Department of Radiation Oncology,Affiliated Cancer Hospital of Zhengzhou University,Zhengzhou 450008,China;Varian Medical Systems Inc.Clinical Application Training Department,Beijing 102600,China)
出处
《中华放射肿瘤学杂志》
CSCD
北大核心
2021年第11期1178-1182,共5页
Chinese Journal of Radiation Oncology
作者简介
通讯作者:葛红,Email:gehong666@126.com。
