Alpert N M, Eriksson L, Chang J Y, Bergstrom M, Litton J E, Correia J A, Bohm C, Ackerman R H, Taveras J M
J Cereb Blood Flow Metab. 1984 Mar;4(1):28-34. doi: 10.1038/jcbfm.1984.4.
This report describes a strategy for measurement of regional CBF that rigorously accounts for differing tracer partition coefficients and recirculation, and is convenient for use with positron emission tomography. Based on the Kety model, the measured tissue concentration can be expressed in terms of the arterial concentration, the rate constant K, and the blood flow f. The local partition coefficient may be computed as p = f/K. In our approach, maps of K and f are computed from two transverse section reconstructions. The reconstructions are based on weighted sums of projection data measured frequently during the observation period. Theoretical studies of noise propagation in the estimates of K and f were carried out as a function of tomographic count rate, total measurement time, and tracer half-life for varying input functions. These calculations predict that statistical errors in f of between 5 and 10% at a resolution of 1 cm full width at half maximum can be obtained with existing tomographs following i.v. injection. To compare theory and experiment, a series of flow studies were carried out in phantoms using a positron tomograph. These measurements demonstrate close agreement between computed flow and noise estimates and those measured in a controlled situation. This close agreement between theory and experiment as well as the low statistical errors observed suggest that this approach may be a useful tool in clinical investigation.
本报告描述了一种测量局部脑血流量(CBF)的策略,该策略严格考虑了不同的示踪剂分配系数和再循环情况,并且便于与正电子发射断层扫描(PET)配合使用。基于凯蒂模型,测得的组织浓度可以用动脉浓度、速率常数K和血流量f来表示。局部分配系数可计算为p = f/K。在我们的方法中,K和f的图谱是根据两个横断面重建计算得出的。重建基于在观察期内频繁测量的投影数据的加权和。针对不同的输入函数,研究了K和f估计中噪声传播与断层扫描计数率、总测量时间和示踪剂半衰期的关系。这些计算预测,静脉注射后,使用现有的断层扫描仪,在半高宽为1 cm的分辨率下,f的统计误差可控制在5%至10%之间。为了比较理论和实验结果,使用正电子断层扫描仪对模型进行了一系列血流研究。这些测量结果表明,计算得出的血流和噪声估计值与在受控情况下测量的值非常吻合。理论与实验之间的这种密切吻合以及观察到的低统计误差表明,这种方法可能是临床研究中的一种有用工具。