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一种估计采样导管中离散度并计算无离散度血液时间-活性曲线的方法。

A method to estimate dispersion in sampling catheters and to calculate dispersion-free blood time-activity curves.

作者信息

Munk Ole Lajord, Keiding Susanne, Bass Ludvik

机构信息

PET Center Aarhus University Hospital, Aarhus, Denmark.

出版信息

Med Phys. 2008 Aug;35(8):3471-81. doi: 10.1118/1.2948391.

Abstract

The authors developed a transmission-dispersion model to estimate dispersion in blood sampling systems and to calculate dispersion-free input functions needed for kinetic analysis. Transport of molecules through catheters was considered in two parts: a central part with convective transmission of molecules and a stagnant layer that molecules may enter and leave. The authors measured dispersion caused by automatic and manual blood sampling using three PET tracers that distribute differently in blood (C15O, H2(15)O, and 11C-methylglucose). For manual sampling, dispersion was negligible. For the automated sampling procedure, characteristic parameters were calibrated for each tracer, and subsequently used in calculating dispersion-free input functions following real bolus injections. This led to shapes of dispersion-free input functions C(i)(t) that had sharper peaks than the measured C(o)(t), and the authors quantified the effect of correcting for dispersion before kinetic modeling. The transmission-dispersion model quantitatively takes apart effects of transmission and dispersion, it has transparent noise properties associated with each component, and it does not require deconvolution to calculate dispersion-free input functions. Once characteristic parameters are estimated, input functions can be corrected before applying kinetic models. This allows bias-free estimation of kinetic parameters such as blood flow.

摘要

作者开发了一种传输-弥散模型,用于估计血液采样系统中的弥散,并计算动力学分析所需的无弥散输入函数。分子通过导管的传输分为两部分考虑:分子对流传输的中心部分和分子可能进出的停滞层。作者使用三种在血液中分布不同的PET示踪剂(C15O、H2(15)O和11C-甲基葡萄糖)测量了自动和手动采血引起的弥散。对于手动采样,弥散可忽略不计。对于自动采样程序,针对每种示踪剂校准特征参数,随后用于计算实际团注注射后的无弥散输入函数。这导致无弥散输入函数C(i)(t)的形状比测量的C(o)(t)具有更尖锐的峰值,并且作者量化了在动力学建模之前校正弥散的效果。传输-弥散模型定量地分离了传输和弥散的影响,它具有与每个组件相关的透明噪声特性,并且不需要去卷积来计算无弥散输入函数。一旦估计出特征参数,就可以在应用动力学模型之前校正输入函数。这允许对诸如血流等动力学参数进行无偏估计。

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