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Uncertainty calculations for the measurement of in vivo bone lead by x-ray fluorescence.

机译:通过X射线荧光测量体内骨铅的不确定度计算。

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In order to quantify the bone lead concentration from an in vivo x-ray fluorescence measurement, typically two estimates of the lead concentration are determined by comparing the normalized x-ray peak amplitudes from the Kalpha(1) and Kbeta(1) features to those of the calibration phantoms. In each case, the normalization consists of taking the ratio of the x-ray peak amplitude to the amplitude of the coherently scattered photon peak in the spectrum. These two Pb concentration estimates are then used to determine the weighted mean lead concentration of that sample. In calculating the uncertainties of these measurements, it is important to include any covariance terms where appropriate. When determining the uncertainty of the lead concentrations from each x-ray peak, the standard approach does not include covariance between the x-ray peaks and the coherently scattered feature. These spectral features originate from two distinct physical processes, and therefore no covariance between these features can exist. Through experimental and simulated data, we confirm that there is no observed covariance between the detected Pb x-ray peaks and the coherently scattered photon signal, as expected. This is in direct contrast to recent work published by Brito (2006 Phys. Med. Biol. 51 6125-39). There is, however, covariance introduced in the calculation of the weighted mean lead concentration due to the common coherent normalization. This must be accounted for in calculating the uncertainty of the weighted mean lead concentration, as is currently the case. We propose here an alternative approach to calculating the weighted mean lead concentration in such a way as to eliminate the covariance introduced by the common coherent normalization. It should be emphasized that this alternative approach will only apply in situations in which the calibration line intercept is not included in the calculation of the Pb concentration from the spectral data: when the source of the intercept is well characterized and known to come from trace contamination by Pb in the plaster of Paris calibration standards. In our approach, the coherent normalization is only applied to one parameter and we no longer take a weighted mean of correlated quantities. Our proposed alternative calculation has essentially no effect on the calculated error of the mean lead concentration, indicating that the existing method of accounting for this covariance is sufficient.
机译:为了从体内X射线荧光测量结果量化骨铅浓度,通常通过比较Kalpha(1)和Kbeta(1)特征的归一化X射线峰振幅与铅特征的振幅来确定铅浓度的两个估计值。校准体模。在每种情况下,归一化包括获取光谱中x射线峰幅度与相干散射光子峰幅度的比值。然后将这两个Pb浓度估算值用于确定该样品的加权平均铅浓度。在计算这些测量的不确定性时,重要的是在适当的地方包括任何协方差项。从每个X射线峰确定铅浓度的不确定性时,标准方法不包括X射线峰与相干散射特征之间的协方差。这些光谱特征源自两个不同的物理过程,因此这些特征之间不存在协方差。通过实验和模拟数据,我们确认,正如预期的那样,在检测到的Pb X射线峰与相干散射光子信号之间没有观察到协方差。这与Brito(2006 Phys。Med。Biol。51 6125-39)发表的最新工作形成鲜明对比。但是,由于共同的相干归一化,在加权平均铅浓度的计算中引入了协方差。像现在这样,在计算加权平均铅浓度的不确定性时必须考虑到这一点。我们在这里提出一种替代方法,以消除由共同相干归一化引入的协方差的方式来计算加权平均铅浓度。应当强调的是,这种替代方法仅适用于以下情况:从光谱数据计算铅浓度时不包括校准线截距:当截距的来源得到充分表征并且已知来自痕量污染时由铅按巴黎的石膏校准标准。在我们的方法中,相干归一化仅应用于一个参数,而不再采用相关量的加权平均值。我们提出的替代计算对平均铅浓度的计算误差基本没有影响,这表明解决这种协方差的现有方法就足够了。

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