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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Incorporating the effects of transcytolemmal water exchange in a reference region model for DCE-MRI analysis: theory, simulations, and experimental results.
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Incorporating the effects of transcytolemmal water exchange in a reference region model for DCE-MRI analysis: theory, simulations, and experimental results.

机译:在DCE-MRI分析的参考区域模型中纳入跨细胞膜水交换的影响:理论,模拟和实验结果。

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摘要

Models have been developed for the analysis of dynamic contrast-enhanced MRI (DCE-MRI) data that do not require direct measurements of the arterial input function; such methods are referred to as reference region models. These models typically return estimates of the volume transfer constant (K(trans)) and the extravascular extracellular volume fraction (v(e)). To date such models have assumed a linear relationship between the measured R(1) ( identical with 1/T(1)) and the concentration of contrast agent, a transformation referred to as the fast exchange limit, but this assumption is not valid for all concentrations of an agent. A theory for DCE-MRI reference region models which accounts for water exchange is presented, evaluated in simulations, and applied in tumor-bearing mice. Using reasonable parameter values, simulations show that the assumption of fast exchange can underestimate K(trans) and v(e) by up to 82% and 46%, respectively. By analyzing a large region of interest and a single voxel the new model can return parameters within approximately +/-10% and +/-25%, respectively, of their true values. Analysis of experimental data shows that the new approach returns K(trans) and v(e) values that are up to 90% and 73%, respectively, greater than conventional fast exchange analyses.
机译:已经开发了用于动态对比增强MRI(DCE-MRI)数据分析的模型,这些模型不需要直接测量动脉输入功能。这些方法称为参考区域模型。这些模型通常返回体积转移常数(K(trans))和血管外细胞体积分数(v(e))的估计值。迄今为止,这些模型已经假设所测得的R(1)(等于1 / T(1))与造影剂浓度之间存在线性关系,这种转换称为快速交换极限,但是这种假设对所有浓度的药剂。提出了DCE-MRI参考区域模型的理论,该理论解释了水交换,并在模拟中进行了评估,并应用于荷瘤小鼠。使用合理的参数值,仿真表明,快速交换的假设可能分别低估K(trans)和v(e)达82%和46%。通过分析较大的关注区域和单个体素,新模型可以分别返回其真实值的大约+/- 10%和+/- 25%之内的参数。实验数据分析表明,新方法返回的K(trans)和v(e)值分别比传统的快速交换分析高出90%和73%。

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