Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233
Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233
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DOI：
10.1002/mp.13763
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发表时间：
2019-11-01
期刊：
影响因子：
3.8
通讯作者：
Wang, Jia
中科院分区：
文献类型：
--
作者：
Samei, Ehsan;Bakalyar, Donovan;Wang, Jia
背景新的X射线计算机断层扫描（CT）技术的快速发展和复杂性以及对辐射和造影剂剂量方面图像质量循证优化的需求，要求对CT性能评估采用更新的方法。目的本报告提供了用于测试CT系统的更新的测试指南，重点关注操作性能，包括迭代重建和自动曝光控制（AEC）。该报告是在对科学文献中的最佳方法和实践进行全面审查的基础上编写的。详细方法包括评估1）CT噪声（幅度、纹理、非均匀性、非均匀性），2）分辨率（不同条件下的任务传递函数及其标量反射），3）基于任务的性能（可检测性、可估计性），以及4）AEC性能（衰减和曝光调制的空间、噪声和mA一致性）。这些方法包括不同的重建和管电流调制条件、标准化测试协议以及标准化数量和计量，以促进跟踪、基准测试和定量比较。结果在引用的出版物中实施的这些方法非常稳健，可以代表性地反映临床设施中操作使用的CT系统性能。该方法包括建议phanimetry和幻影图像analysis.DiscussionIn线与目前的专业轨迹的领域走向定量和业务参与，所述方法提供定量，更预测的临床表现比规格为基础的方法。它们可以为新CT系统的性能测试铺平道路，不仅在验收测试方面（即，验证设备满足预定义的规范），而且还包括系统调试（即，结论我们提供了一套通用的测试程序，可用于实现CT成像设备的最佳临床利用率，在不同的系统和时间进行基准测试，并为CT成像制定未来基于性能的标准奠定基础。
BackgroundThe rapid development and complexity of new x-ray computed tomography (CT) technologies and the need for evidence-based optimization of image quality with respect to radiation and contrast media dose call for an updated approach towards CT performance evaluation.AimsThis report offers updated testing guidelines for testing CT systems with an enhanced focus on the operational performance including iterative reconstructions and automatic exposure control (AEC) techniques.Materials and MethodsThe report was developed based on a comprehensive review of best methods and practices in the scientific literature. The detailed methods include the assessment of 1) CT noise (magnitude, texture, nonuniformity, inhomogeneity), 2) resolution (task transfer function under varying conditions and its scalar reflections), 3) task-based performance (detectability, estimability), and 4) AEC performance (spatial, noise, and mA concordance of attenuation and exposure modulation). The methods include varying reconstruction and tube current modulation conditions, standardized testing protocols, and standardized quantities and metrology to facilitate tracking, benchmarking, and quantitative comparisons.ResultsThe methods, implemented in cited publications, are robust to provide a representative reflection of CT system performance as used operationally in a clinical facility. The methods include recommendations for phantoms and phantom image analysis.DiscussionIn line with the current professional trajectory of the field toward quantitation and operational engagement, the stated methods offer quantitation that is more predictive of clinical performance than specification-based approaches. They can pave the way to approach performance testing of new CT systems not only in terms of acceptance testing (i.e., verifying a device meets predefined specifications), but also system commissioning (i.e., determining how the system can be used most effectively in clinical practice).ConclusionWe offer a set of common testing procedures that can be utilized towards the optimal clinical utilization of CT imaging devices, benchmarking across varying systems and times, and a basis to develop future performance-based criteria for CT imaging.