反褶积
动态增强MRI
计算机科学
脑血容量
混乱
对比度(视觉)
脑血流
生物医学工程
示踪剂
生物系统
磁共振成像
核磁共振
人工智能
医学
物理
算法
放射科
心理学
生物
精神分析
心脏病学
核物理学
作者
Steven Sourbron,David L. Buckley
摘要
Dynamic contrast‐enhanced MRI (DCE‐MRI) is a functional MRI method where T 1 ‐weighted MR images are acquired dynamically after bolus injection of a contrast agent. The data can be interpreted in terms of physiological tissue characteristics by applying the principles of tracer‐kinetic modelling. In the brain, DCE‐MRI enables measurement of cerebral blood flow (CBF), cerebral blood volume (CBV), blood–brain barrier (BBB) permeability–surface area product (PS) and the volume of the interstitium ( v e ). These parameters can be combined to form others such as the volume‐transfer constant K trans , the extraction fraction E and the contrast‐agent mean transit times through the intra‐ and extravascular spaces. A first generation of tracer‐kinetic models for DCE‐MRI was developed in the early 1990s and has become a standard in many applications. Subsequent improvements in DCE‐MRI data quality have driven the development of a second generation of more complex models. They are increasingly used, but it is not always clear how they relate to the models of the first generation or to the model‐free deconvolution methods for tissues with intact BBB. This lack of understanding is leading to increasing confusion on when to use which model and how to interpret the parameters. The purpose of this review is to clarify the relation between models of the first and second generations and between model‐based and model‐free methods. All quantities are defined using a generic terminology to ensure the widest possible scope and to reveal the link between applications in the brain and in other organs. Copyright © 2013 John Wiley & Sons, Ltd.
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