A general kinetic model for quantitative perfusion imaging with arterial spin labeling
A general kinetic model for quantitative perfusion imaging with arterial spin labeling
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DOI：
10.1002/mrm.1910400308
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发表时间：
1998-09-01
影响因子：
3.3
通讯作者：
Edelman, RR
中科院分区：
文献类型：
--
作者：
Buxton, RB;Frank, LR;Edelman, RR
最近，已经开发了动脉自旋标记（ASL）技术的几种实现，用于产生对局部组织灌注敏感的MRI图像。对于灌注的定量，脉冲和连续标记方法都可能遭受许多系统误差。在这项研究中，ASL信号的一般动力学模型描述，可用于评估这些错误。通过适当的假设，通用模型简化为以前用于分析ASL数据的模型，但通用模型也提供了一种方法来分析如果这些假设不准确所导致的错误。该模型被用于系统误差的初步评估，由于可变的过境延迟的影响，从标签带成像体素，毛细血管/组织交换水的标签上的松弛的影响，和不完全的水提取的影响。在与人类受试者的初步实验中，该模型提供了一个很好的描述脉冲ASL数据在一个简单的感觉运动激活任务。
Recently, several implementations of arterial spin labeling (ASL) techniques have been developed for producing MRI images sensitive to local tissue perfusion. For quantitation of perfusion, both pulsed and continuous labeling methods potentially suffer from a number of systematic errors. In this study, a general kinetic model for the ASL signal is described that can be used to assess these errors. With appropriate assumptions, the general model reduces to models that have been used previously to analyze ASL data, but the general model also provides a way to analyze the errors that result if these assumptions are not accurate. The model was used for an initial assessment of systematic errors due to the effects of variable transit delays from the tagging band to the imaging voxel, the effects of capillary/tissue exchange of water on the relaxation of the tag, and the effects of incomplete water extraction. In preliminary experiments with a human subject, the model provided a good description of pulsed ASL data during a simple sensorimotor activation task.