基于UiBot软件实现治疗计划系统CT定位影像及轮廓自动导入功能探索

doi:10.3760/cma.j.cn113030-20200817-00423

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Abstract 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.

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	Articles by authors
	Li Bing
	Cheng Zhiyao
	Guo Wei
	Mao Ronghu
	Lou Zhaoyang
	Cheng Xiuyan
	Ge Hong

Key words： Treatment planning system Auto-importing script CT image UiBot software

Received: 17 August 2020

Corresponding Authors: Ge Hong, Email:gehong666@126.com

Cite this article:

Li Bing,Cheng Zhiyao,Guo Wei et al. Application of auto-importing of CT images and structures into treatment planning system based on UiBot software[J]. Chinese Journal of Radiation Oncology, 2021, 30(11): 1178-1182.

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http://journal12.magtechjournal.com/Jweb_fszlx/EN/10.3760/cma.j.cn113030-20200817-00423 OR http://journal12.magtechjournal.com/Jweb_fszlx/EN/Y2021/V30/I11/1178

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