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一个四房室混合乳头状/链状模型的解析解集。

An analytical solution set for a four-compartment mixed mammillary/catenary model.

作者信息

Charkes N D, Siegel J A

机构信息

Section of Nuclear Medicine, Temple University Hospital, Philadelphia, PA 19140, USA.

出版信息

Nucl Med Commun. 1999 Jun;20(6):575-80. doi: 10.1097/00006231-199906000-00013.

Abstract

The purpose of this study was to extract the intercompartmental rate constants analytically from the coefficients and exponents of the exponential sum fitted to tracer data points for a unique four-compartment mixed mammillary/catenary (extended mammillary, radial) model, with losses solely from the central (blood) compartment. This model is useful in estimating myocardial and skeletal blood flow. Using Laplace transforms, the transfer functions of the exponential sum and the differential equations describing the model were obtained and the corresponding coefficients equated sequentially, which yielded the intercompartmental rate constants. Three solution sets of rate constants were found for the model, each of which satisfies both transfer functions. A program written in BASIC is provided, which requires only the coefficients and exponents of the exponential terms as input; the output is the three sets of rate constants. An example is given as an aid in debugging. Only one solution set of the three was physiologically realizable in the example, but the bounds defining these limits are not known. The advantages and limitations of the method are discussed. The method is suitable for initializing a non-linear least-squares fitting program for the rate constants. The appropriate physiological solution set for this model yields fractional and total myocardial or skeletal blood flow in a subject in the steady state.

摘要

本研究的目的是从拟合示踪剂数据点的指数和的系数与指数中,解析提取独特的四室混合乳头体/链状(扩展乳头体、放射状)模型的室间速率常数,且仅从中央(血液)室有流失。该模型在估计心肌和骨骼血流方面很有用。利用拉普拉斯变换,获得了指数和的传递函数以及描述该模型的微分方程,并依次使相应系数相等,从而得到室间速率常数。为该模型找到了三组速率常数解,每组都满足两个传递函数。提供了一个用BASIC编写的程序,该程序仅需指数项的系数和指数作为输入;输出为三组速率常数。给出了一个用于调试的示例。在该示例中,三组解中只有一组在生理上是可实现的,但定义这些限制的界限尚不清楚。讨论了该方法的优缺点。该方法适用于为速率常数初始化非线性最小二乘拟合程序。该模型合适的生理解集可得出受试者在稳态下的心肌或骨骼血流分数及总量。

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