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MODELLING AND UNCERTAINTY EVALUATION FOR THE RADIATION QUALITY PARAMETERS USED IN METROLOGICAL MANAGEMENT OF DIAGNOSTIC RADIOLOGY DOSIMETERS

机译:诊断放射学剂量计量计量管理中使用的辐射质量参数的建模与不确定度评价

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Radiology for human health diagnosis is an important field for metrological research in ionizing radiation since it combines metrological analysis with improvement in health care quality. Diagnostic radiology methods require radiation detectors for quality control of X-ray radiation qualities, with the measurement procedure and the parameters to be determined in accordance with International Standard IEC 61267:2005. A mathematical approach and numerical method are given for obtaining these parameters. The GUM uncertainty framework is used to evaluate the measurement uncertainties associated with the resulting parameter estimates. Because the measurement model used is non-linear and implicitly defined, the results are compared with those from a Monte Carlo method. For all radiation qualities, IEC 61267:2005 gives admissible limits that are not supported by any rationale. Thus, a further motivation for this study is that knowledge of uncertainties associated with typical experimental data would be a useful contribution to a definition of defensible limits for these qualities, since they directly affect the success of the process following diagnosis.
机译:人类健康诊断的放射学是电离辐射的计量研究的重要领域,因为它结合了测量结果,改善了医疗保健品质。诊断放射学方法需要辐射检测器进行X射线辐射质量的质量控制,测量程序和根据国际标准IEC 61267:2005确定的参数。提供了一种获得这些参数的数学方法和数值方法。胶不确定性框架用于评估与所得参数估计相关的测量不确定性。因为所用的测量模型是非线性的并且隐含地定义,所以将结果与来自蒙特卡罗方法的结果进行比较。对于所有辐射品质,IEC 61267:2005提供了任何理由不支持的可接受限制。因此,本研究的另一个动机是,与典型实验数据相关的不确定性的知识将是对这些品质可辩护限制的定义的有用贡献,因为它们直接影响诊断后过程的成功。

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