Lawrence Berkeley Lab., California Univ., CA.
IEEE Trans Med Imaging. 1993;12(2):215-31. doi: 10.1109/42.232250.
The work presented evaluates the statistical characteristics of regional bias and expected error in reconstructions of real positron emission tomography (PET) data of human brain fluoro-deoxiglucose (FDG) studies carried out by the maximum likelihood estimator (MLE) method with a robust stopping rule, and compares them with the results of filtered backprojection (FBP) reconstructions and with the method of sieves. The task of evaluating radioisotope uptake in regions-of-interest (ROIs) is investigated. An assessment of bias and variance in uptake measurements is carried out with simulated data. Then, by using three different transition matrices with different degrees of accuracy and a components of variance model for statistical analysis, it is shown that the characteristics obtained from real human FDG brain data are consistent with the results of the simulation studies.
本文评估了通过最大似然估计（MLE）方法和鲁棒停止规则进行的真实正电子发射断层扫描（PET）人脑氟脱氧葡萄糖（FDG）研究重建中区域偏差和预期误差的统计特征，并将其与滤波反投影（FBP）重建和筛法的结果进行了比较。评估了在感兴趣区域（ROI）中测量放射性同位素摄取的任务。使用模拟数据对摄取测量中的偏差和方差进行了评估。然后，通过使用具有不同精度的三个不同跃迁矩阵和用于统计分析的方差分量模型，结果表明从真实的人类 FDG 脑数据中获得的特征与模拟研究的结果一致。
