Department of Imaging & Applied Physics, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia.
Comput Methods Programs Biomed. 2010 Jan;97(1):48-52. doi: 10.1016/j.cmpb.2009.07.001. Epub 2009 Jul 28.
Recent studies have reported the computed radiography (CR) dose creep problem and therefore the need to have monitoring processes in place in clinical departments. The objective of this study is to provide a better technological solution to implement a regular CR dose monitoring process. An online automatic CR dose data mining program which can be applied to different systems was developed based on freeware and existing softwares in the Picture Archiving and Communication System (PACS) server. The program was tested with 69 CR images. This preliminary study shows that the program addresses the major weaknesses of some existing studies including involvement of manual procedures in the monitoring process and being only applicable to a single manufacturer's CR images. The proposed method provides an efficient and effective solution to implement a CR dose monitoring program regularly in busy clinical departments to regulate the dose creep problem so as to reinforce the 'As Low As Reasonably Achievable' (ALARA) principle.
最近的研究报告指出,计算机放射摄影术(CR)的剂量递增问题,因此需要在临床科室建立监测流程。本研究的目的是提供更好的技术解决方案,以实施常规的 CR 剂量监测流程。我们开发了一种基于免费软件和图像存档与通讯系统(PACS)服务器中现有软件的在线自动 CR 剂量数据挖掘程序,可以应用于不同的系统。该程序使用 69 张 CR 图像进行了测试。这项初步研究表明,该程序解决了一些现有研究的主要弱点,包括监测过程中涉及手动程序以及仅适用于单一制造商的 CR 图像。所提出的方法为在繁忙的临床科室定期实施 CR 剂量监测程序提供了一种高效、有效的解决方案,以调节剂量递增问题,从而加强“尽可能低”(ALARA)原则。