Selection of weighting factors for quantification of PET radioligand binding using simplified reference tissue models with noisy input functions.
Selection of weighting factors for quantification of PET radioligand binding using simplified reference tissue models with noisy input functions.
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DOI：
10.1088/0031-9155/57/3/609
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发表时间：
2012-02-07
影响因子：
3.5
通讯作者：
Morris ED
中科院分区：
文献类型：
--
作者：
Normandin MD;Koeppe RA;Morris ED
输入函数噪声会影响模型预测值，在参数估计期间应予以考虑。这个问题已经在 PET 数据分析的背景下使用噪声图像衍生的动脉输入函数进行了研究。将测量的输入函数中的误差影响纳入目标函数，并观察到从心脏血流动力学模型估计的参数的准确性随后得到改善。这种处理尚未应用于通常用于使用受体-配体示踪剂分析动态正电子发射断层扫描数据的参考区域模型。在这里，我们提出了一种选择权重因子的策略，该策略考虑了参考区域输入函数中的噪声，并在简化的参考组织模型的两种常见公式上测试了该方法。我们提出了一项模拟研究，表明所提出的加权方法提高了高噪声水平下以及参考组织和感兴趣的目标区域大小相当时估计结合潜力的准确性。在第二个模拟实验中，我们表明，使用较小的均匀参考组织和我们的加权技术可能比使用传统加权从较大（因此噪声较小）异质区域导出的输入函数具有优势。对临床[11C]氟马西尼数据的比较分析发现，当使用所提出的加权方法时，估计的结合潜力有小幅但显着的增加，这与我们模拟研究中减少负偏倚的发现一致。这里描述的加权策略考虑了参考区域输入函数中的噪声，并且可以在数据有噪声并且参考区域相对较小的应用中提高SRTM的性能。该技术可以为使用参考区域输入的其他模型提供类似的好处，特别是从 SRTM 导出的模型。
Input function noise contributes to model-predicted values and should be accounted for during parameter estimation. This problem has been examined in the context of PET data analysis using a noisy image-derived arterial input function. incorporated the effect of error in the measured input function into the objective function and observed a subsequent improvement in the accuracy of parameters estimated from a kinetic model of cardiac blood flow. Such a treatment has not been applied to the reference region models commonly used to analyze dynamic positron emission tomography data with receptor-ligand tracers. Here, we propose a strategy for selection of weighting factors that accounts for noise in the reference region input function and test the method on two common formulations of the simplified reference tissue model. We present a simulation study which demonstrates that the proposed weighting approach improves the accuracy of estimated binding potential at high noise levels and when the reference tissue and target regions of interest are of comparable size. In a second simulation experiment we show that using a small, homogeneous reference tissue with our weighting technique may have advantages over input functions derived from a larger (and thus less noisy), heterogeneous region with conventional weighting. A comparative analysis of clinical [11C]flumazenil data found a small but significant increase in estimated binding potential when using the proposed weighting method, consistent with the finding of reduced negative bias in our simulation study. The weighting strategy described here accounts for noise in the reference region input function and may improve the performance of the SRTM in applications where data are noisy and the reference region is relatively small. This technique may offer similar benefits to other models using reference region inputs, particularly those derived from the SRTM.
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影响因子：
10.6
作者：
CHIAO, PC;ROGERS, WL;HERO, AO
通讯作者：
HERO, AO
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DELFORGE, J;SYROTA, A;MAZOYER, BM
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MAZOYER, BM
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作者：
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