Feng D, Huang S C, Wang X
Basser Department of Computer Science, University of Sydney, N.S.W., Australia.
Int J Biomed Comput. 1993 Mar;32(2):95-110. doi: 10.1016/0020-7101(93)90049-c.
In tracer kinetic modeling with Positron Emission Tomography (PET), the direct measurement (piecewise linear approximation) of plasma time-activity curve of tracer (PTAC) is often used as the input function to estimate regional physiological parameters. However, no explicit general model is available for PTAC itself, which limits the further study of the effects of PTAC, such as PTAC measurement noise or PTAC sampling schedules, on the physiological parameters estimation. A PTAC model is proposed in this paper and compared with other four possible candidates. Eight sets of [18F]-fluoro-2-deoxy-D-glucose (FDG) experimental data were used to test the models and several statistical criteria were used to validate their adequacy. An application of the model to improve the estimation of local cerebral metabolic rate of glucose (LCMRGlc) is presented. This model is also expected to be useful for generating realistic PTAC curves in computer simulation studies of other tracers and their kinetic modeling characteristics.
在正电子发射断层扫描(PET)的示踪剂动力学建模中,示踪剂血浆时间 - 活性曲线(PTAC)的直接测量(分段线性近似)常被用作输入函数来估计区域生理参数。然而,目前尚无适用于PTAC本身的明确通用模型,这限制了对PTAC诸如测量噪声或采样时间表等因素对生理参数估计影响的进一步研究。本文提出了一种PTAC模型,并与其他四种可能的候选模型进行了比较。使用八组[18F] - 氟 - 2 - 脱氧 - D - 葡萄糖(FDG)实验数据对模型进行测试,并使用多种统计标准来验证其适用性。展示了该模型在改进局部脑葡萄糖代谢率(LCMRGlc)估计方面的应用。该模型也有望在其他示踪剂的计算机模拟研究及其动力学建模特性中用于生成逼真的PTAC曲线。