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首页> 美国卫生研究院文献>Journal of Applied Clinical Medical Physics >Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study
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Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study

机译：通过自动监视关键性能指标对CT系统进行质量控制：为期两年的研究

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The purpose of this study was to develop a method of performing routine periodical quality controls (QC) of CT systems by automatically analyzing key performance indicators (KPIs), obtainable from images of manufacturers' quality assurance (QA) phantoms. A KPI pertains to a measurable or determinable QC parameter that is influenced by other underlying fundamental QC parameters. The established KPIs are based on relationships between existing QC parameters used in the annual testing program of CT scanners at the Karolinska University Hospital in Stockholm, Sweden. The KPIs include positioning, image noise, uniformity, homogeneity, the CT number of water, and the CT number of air. An application (MonitorCT) was developed to automatically evaluate phantom images in terms of the established KPIs. The developed methodology has been used for two years in clinical routine, where CT technologists perform daily scans of the manufacturer's QA phantom and automatically send the images to MonitorCT for KPI evaluation. In the cases where results were out of tolerance, actions could be initiated in less than 10 min. 900 QC scans from two CT scanners have been collected and analyzed over the two‐year period that MonitorCT has been active. Two types of errors have been registered in this period: a ring artifact was discovered with the image noise test, and a calibration error was detected multiple times with the CT number test. In both cases, results were outside the tolerances defined for MonitorCT, as well as by the vendor. Automated monitoring of KPIs is a powerful tool that can be used to supplement established QC methodologies. Medical physicists and other professionals concerned with the performance of a CT system will, using such methods, have access to comprehensive data on the current and historical (trend) status of the system such that swift actions can be taken in order to ensure the quality of the CT examinations, patient safety, and minimal disruption of servicePACS numbers: 87.57.C‐, 87.57.N‐, 87.57.Q‐
机译：这项研究的目的是开发一种通过自动分析关键性能指标（KPI）来执行CT系统常规定期质量控制（QC）的方法，该指标可从制造商的质量保证（QA）体模图像中获得。 KPI属于受其他基础基本QC参数影响的可测量或可确定的QC参数。既定的KPI是基于瑞典斯德哥尔摩卡罗林斯卡大学医院CT扫描仪年度测试程序中使用的现有QC参数之间的关系。关键绩效指标包括定位，图像噪声，均匀性，均匀性，水的CT数和空气的CT数。开发了一个应用程序（MonitorCT），可以根据已建立的KPI自动评估幻像图像。这种开发的方法已经在临床常规中使用了两年，在此期间，CT技术人员每天扫描制造商的QA体模，然后将图像自动发送到MonitorCT进行KPI评估。如果结果超出容许范围，则可以在不到10分钟的时间内采取措施。在MonitorCT已启用的两年期间，已经从两台CT扫描仪中收集并分析了900次QC扫描。在此期间，已经记录了两种类型的错误：通过图像噪声测试发现了环形伪影，并且通过CT编号测试多次检测到校准错误。在这两种情况下，结果均超出MonitorCT和供应商定义的容限。 KPI的自动监视是一个功能强大的工具，可用于补充已建立的QC方法论。涉及CT系统性能的医学物理学家和其他专业人员将可以使用此类方法访问有关系统当前和历史（趋势）状态的全面数据，从而可以迅速采取措施以确保CT的质量。 CT检查，患者安全和最小程度的服务中断PACS号码：87.57.C-，87.57.N-，87.57.Q-

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