Basser Dept. of Comput. Sci., Sydney Univ., NSW.
IEEE Trans Med Imaging. 1995;14(4):697-710. doi: 10.1109/42.476111.
Measurement of the local cerebral metabolic rate of glucose (LCMRGlc) and the individual rate constant parameters of the [(18 )F]2-fluoro-2-deoxy-D-glucose (FDG) model can provide a clearer understanding and insight to the physiological processes in the human brain, and a quicker and more accurate means of diagnosis in clinical applications. A systematic study using simulated and clinical tissue time activity data is presented to evaluate several existing and newly developed major algorithms used for determining LCMRGlc and the individual rate constants from positron emission tomography dynamic data. The computational and statistical properties of the autoradiographic approach, weighted and unweighted nonlinear least squares methods, Patlak graphic approach, weighted integration method, linear least squares and generalized linear least squares methods are investigated and discussed in this paper.
测量局部脑葡萄糖代谢率 (LCMRGlc) 和 [(18)F]2-氟-2-脱氧-D-葡萄糖 (FDG) 模型的个体速率常数参数，可以更清楚地了解和洞察人类大脑的生理过程，并在临床应用中提供更快、更准确的诊断手段。本文使用模拟和临床组织时间活动数据进行了系统研究，以评估几种现有的和新开发的主要算法，用于从正电子发射断层扫描动态数据中确定 LCMRGlc 和个体速率常数。本文研究和讨论了放射性自显影方法、加权和非加权非线性最小二乘法、Patlak 图形方法、加权积分法、线性最小二乘法和广义线性最小二乘法的计算和统计性质。
