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对比剂给药后组织磁共振成像纵向弛豫率 Look-Locker 估计的建模。

Modeling of Look-Locker estimates of the magnetic resonance imaging estimate of longitudinal relaxation rate in tissue after contrast administration.

机构信息

Department of Neurology, Henry Ford Hospital, Detroit, Michigan 48202, USA.

出版信息

Magn Reson Med. 2011 Nov;66(5):1432-44. doi: 10.1002/mrm.22852. Epub 2011 May 31.

DOI:10.1002/mrm.22852
PMID:21630341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3166425/
Abstract

This paper models the behavior of the longitudinal relaxation rate of the protons of tissue water R(1) (R(1) = 1/T(1) ), measured in a Look-Locker experiment at 7 Tesla after administration of a paramagnetic contrast agent (CA). It solves the Bloch-McConnell equations for the longitudinal magnetization of the protons of water in a three-site two-exchange (3S2X) model with boundary conditions appropriate to repeated sampling of magnetization. The extent to which equilibrium intercompartmental water exchange kinetics affect monoexponential estimates of R(1) after administration of a CA in dynamic contrast enhanced experiment is described. The relation between R(1) and tissue CA concentration was calculated for CA restricted to the intravascular, or to the intravascular and extracellular compartments, by varying model parameters to mimic experimental data acquired in a rat model of cerebral tumor. The model described a nearly linear relationship between R(1) and tissue concentration of CA, but demonstrated that the apparent longitudinal relaxivity of CA depends upon tissue type. The practical consequence of this finding is that the extended Patlak plot linearizes the ΔR(1) data in tissue with leaky microvessels, accurately determines the influx rate of the CA across these microvessels, but underestimates the volume of intravascular blood water.

摘要

本文对在 7T 场强下,使用 Look-Locker 实验测量组织水质子纵向弛豫率 R(1)(R(1) = 1/T(1) )的行为进行建模,该实验在注射顺磁对比剂(CA)后进行。本文使用 3S2X 模型(带有适用于重复采样磁化的边界条件),求解水质子纵向磁化的 Bloch-McConnell 方程,模型中包含三个位置的两个交换。描述了在动态对比增强实验中,CA 给药后,平衡的细胞外间水交换动力学对单指数估计 R(1) 的影响程度。通过改变模型参数来模拟在脑肿瘤大鼠模型中获得的实验数据,计算了 CA 被限制在血管内或血管内和细胞外腔时 R(1) 与组织 CA 浓度之间的关系。模型描述了 R(1) 与组织中 CA 浓度之间几乎呈线性关系,但表明 CA 的表观纵向弛豫率取决于组织类型。这一发现的实际意义在于,扩展的 Patlak 图在线性化具有渗漏微血管的组织中的 ΔR(1)数据方面非常有效,能够准确确定 CA 通过这些微血管的内流率,但会低估血管内血液水的体积。