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A Pilot Study on the Development of Remote Quality Control of Digital Mammography Systems in the NHS Breast Screening Programme

机译:NHS乳房筛查计划中数字乳腺摄影系统远程质量控制开发的初步研究

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摘要

In the UK, physicists and radiographers perform routine quality control (QC) of digital mammography equipment at daily, weekly and monthly intervals. The tests performed and tolerances are specified by standard protocols. The manual nature of many of the tests introduces variability due to the positioning of regions of interest (ROIs) and can be time consuming. The tools on workstations provided by manufacturers limit the range of analysis that radiographers can perform and do not allow for a standard set of tools and analysis because they are specific to a given manufacturer. Automated software provides a means of reducing the variability in the analysis and also provides the possibility of additional, more complex analysis than is currently performed on the daily, weekly and monthly checks by radiographers. To this end, a set of tools has been developed to analyse the routine images taken by radiographers. As well as automatically reproducing the usual measurements by radiographers more complex analysis is provided. A QC image collection system has been developed which automatically routes QC data from a clinical site to a centralised server for analysis. A Web-based interface has been created that allows the users to view the performance of the mammographic equipment. The pilot system obtained over 3000 QC images from seven X-ray units at a single screening centre over 2 years. The results show that these tools and methods of analysis can highlight changes in a detector over time that may otherwise go unnoticed with the conventional analysis.
机译:在英国,物理学家和射线照相师每天,每周和每月间隔执行数字乳房X线照相设备的常规质量控制(QC)。所执行的测试和公差由标准协议规定。由于感兴趣区域(ROI)的位置,许多测试的手动性质会引入可变性,并且可能很耗时。制造商提供的工作站上的工具限制了放射线照相师可以执行的分析范围,并且由于它们特定于给定的制造商,因此不允许使用一组标准的工具和分析。自动化软件提供了一种减少分析变异性的方法,并且还提供了比放射线技师目前每天,每周和每月进行的检查更复杂的分析的可能性。为此,已经开发了一套工具来分析射线照相师拍摄的常规图像。除了放射线照相师自动再现通常的测量值外,还提供了更复杂的分析。已开发出一种QC图像收集系统,该系统可自动将QC数据从临床站点路由到中央服务器以进行分析。已经创建了一个基于Web的界面,允许用户查看乳腺摄影设备的性能。该试点系统在两年内从一个放映中心的七个X射线设备获得了3000多个QC图像。结果表明,这些分析工具和方法可以突出显示检测器随时间的变化,而常规分析可能不会注意到这些变化。

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