Noninvasive Estimation of the Input Function for Dynamic Mouse 18F-FDG MicroPET Studies
Noninvasive Estimation of the Input Function for Dynamic Mouse 18F-FDG MicroPET Studies
复制标题
动态小鼠 18F-FDG MicroPET 研究输入函数的无创估计
DOI：
10.1109/tbme.2013.2267778
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发表时间：
2013-11-01
影响因子：
4.6
通讯作者：
Tian, Jie
中科院分区：
文献类型：
--
作者：
Mu, Wei;Chen, Zhe;Tian, Jie
提出了一种新的无创估计血浆时间-活性曲线的方法，在动态F-18-FDG microPET小鼠研究中，提出并验证了示踪剂动力学模型的输入函数（IF）。该估计方法包括四个步骤。首先，应用一种新的约束非负矩阵分解分割算法提取左心室（Lv）和心肌（Myo）的时间活动曲线（TAC）。其次，我们将IF建模为一个七参数的数学方程，并构建了一个双输出模型的真实的TAC在Lv和Myo解释部分体积和溢出效应。然后，我们将图像导出的Lv和Myo TAC拟合到双输出模型以估计IF的参数。最后，通过与金标准IF进行比较，同时考虑延迟和色散效应，验证了IF的有效性。我们的方法基于UCLA提供的小鼠定量程序数据库中的20个小鼠数据集进行了验证。延迟离散法估算的IF与金标准IF的曲线下面积的误差为7.237% ± 6.742%（r = 0.969），F-18-FDG内流常数Ki的误差为4.910% ± 6.810%（r = 0.992）。结果表明了该方法的有效性。
A new noninvasive estimation method for the plasma time-activity curve, i.e., input function (IF) of the tracer kinetic model in dynamic F-18-FDG microPET mouse studies, is proposed and validated. This estimation method comprises of four steps. First, a novel constraint nonnegative matrix factorization segmentation algorithm was applied to extract the left ventricle (Lv) and myocardium (Myo) time activity curves (TACs). Second, we modeled the IF as a seven-parameter mathematical equation and constructed a dual-output model of the real TAC in Lv and Myo accounting for the partial-volume and spillover effects. Then, we fit the image-derived Lv and Myo TACs to the dual-output model to estimate the parameters of the IF. Finally, the IF was validated by comparing it to the gold standard IF while considering the delay and dispersion effects. Our method was verified based on 20 mice datasets from the Mouse Quantitation Program database, provided by UCLA. The error of the areas under the curves between the delayed and dispersed estimated IF and the gold standard IF was 7.237% +/- 6.742% (r = 0.969), and the error of the F-18-FDG influx constant Ki of the Myo was 4.910% +/- 6.810% (r = 0.992). The results demonstrated the effectiveness of the proposed method.