Herholz K, Heiss W D, Pawlik G, Ilsen H W, Wienhard K
J Nucl Med. 1983 Dec;24(12):1188-91.
Noninvasive measurements of regional cerebral blood flow (rCBF), using the Xe-133 clearance technique and a two-compartment open model for data analysis, may produce false numerical results when distinction between compartments is poor. For rapid detection of error conditions of that kind, we propose a three-dimensional graphic display of the quality of fit to the original clearance curve, based on bivariate simulations of clearance constants. This procedure may follow rCBF computation, irrespective of the main algorithm used. The discriminating power of this method is demonstrated in two characteristic routine rCBF measurements by gradual addition of random noise to the original data.
使用氙 - 133清除技术和两室开放模型进行数据分析的局部脑血流量（rCBF）无创测量，在各室之间区分不佳时可能会产生错误的数值结果。为了快速检测此类错误情况，我们基于清除常数的双变量模拟，提出了对原始清除曲线拟合质量的三维图形显示。此过程可在rCBF计算之后进行，与所使用的主要算法无关。通过向原始数据中逐渐添加随机噪声，在两次典型的常规rCBF测量中证明了该方法的鉴别能力。
