Objective assessment of image quality and dose reduction in CT iterative reconstruction
Objective assessment of image quality and dose reduction in CT iterative reconstruction
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DOI：
10.1118/1.4881148
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发表时间：
2014-07-01
期刊：
影响因子：
3.8
通讯作者：
Myers, K. J.
中科院分区：
文献类型：
--
作者：
Vaishnav, J. Y.;Jung, W. C.;Myers, K. J.
目的：迭代重建（IR）算法在CT诊断成像中具有降低辐射剂量的潜力。随着这些算法在市场上可用，一种量化特定红外方法可以实现的剂量减少的标准化方法将是有价值的。这种方法将有助于制造商宣传减少剂量，帮助购买者比较不同的设备，帮助物理学家独立验证这些声明，帮助美国食品和药物管理局规范CT设备的标签。然而，商用红外算法的非线性性质对客观评估图像质量提出了挑战，这是确定给定红外算法在不影响图像质量的情况下可以实现的剂量减少量的必要步骤。这篇综述文章旨在整合客观评估CT红外图像质量的相关信息，从而测量给定红外算法可以实现的剂量减少水平。方法：作者讨论了基于任务的CT红外图像质量评估和剂量减少评估方法。结果：作者解释和回顾了最近关于CT红外图像质量评估中的信号检测和定位任务的文献，为这些任务设计合适的幻影，观察者（包括人类和模型观察者）的可能选择，以及评估观察者性能的方法。结论：标准化剂量减量测量是CT界和公共卫生广泛关注的问题。在这一过程中，一个必要的步骤是对CT图像质量进行客观评估，为此，各种基于任务的方法可能是合适的。本文试图整合最近与基于任务的CT红外图像质量评估方法的开发和实施相关的文献。(C) 2014年美国医学物理学家协会。
Purpose: Iterative reconstruction (IR) algorithms have the potential to reduce radiation dose in CT diagnostic imaging. As these algorithms become available on the market, a standardizable method of quantifying the dose reduction that a particular IR method can achieve would be valuable. Such a method would assist manufacturers in making promotional claims about dose reduction, buyers in comparing different devices, physicists in independently validating the claims, and the United States Food and Drug Administration in regulating the labeling of CT devices. However, the nonlinear nature of commercially available IR algorithms poses challenges to objectively assessing image quality, a necessary step in establishing the amount of dose reduction that a given IR algorithm can achieve without compromising that image quality. This review paper seeks to consolidate information relevant to objectively assessing the quality of CT IR images, and thereby measuring the level of dose reduction that a given IR algorithm can achieve.Methods: The authors discuss task-based methods for assessing the quality of CT IR images and evaluating dose reduction.Results: The authors explain and review recent literature on signal detection and localization tasks in CT IR image quality assessment, the design of an appropriate phantom for these tasks, possible choices of observers (including human and model observers), and methods of evaluating observer performance.Conclusions: Standardizing the measurement of dose reduction is a problem of broad interest to the CT community and to public health. A necessary step in the process is the objective assessment of CT image quality, for which various task-based methods may be suitable. This paper attempts to consolidate recent literature that is relevant to the development and implementation of task-based methods for the assessment of CT IR image quality. (C) 2014 American Association of Physicists in Medicine.