Queensland Brain Institute and Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia.
Aix-Marseille Université, CNRS UMR7339, Faculté de Médecine, Centre de Résonance Magnétique Biologique et Médicale (CRMBM), Marseille, France.
Methods Mol Biol. 2021;2216:655-666. doi: 10.1007/978-1-0716-0978-1_39.
The signal intensity differences measured by an arterial-spin-labelling (ASL) magnetic resonance imaging (MRI) experiment are proportional to the local perfusion, which can be quantified with kinetic modeling. Here we present a step-by-step tutorial for the data post-processing needed to calculate an ASL perfusion map. The process of developing an analysis software is described with the essential program code, which involves nonlinear fitting a tracer kinetic model to the ASL data. Key parameters for the quantification are the arterial transit time (ATT), which is the time the labeled blood takes to flow from the labeling area to the tissue, and the tissue T. As ATT varies with vasculature, physiology, anesthesia and pathology, it is recommended to measure it using multiple delay times. The tutorial explains how to analyze ASL data with multiple delay times and a T map for quantification.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This analysis protocol chapter is complemented by two separate chapters describing the basic concept and experimental procedure.
动脉自旋标记(ASL)磁共振成像(MRI)实验测量的信号强度差异与局部灌注成正比,可以通过动力学建模进行定量。本文提供了一个分步教程,介绍了计算 ASL 灌注图所需的数据后处理过程。本文描述了开发分析软件的过程,包括对 ASL 数据进行示踪剂动力学模型的非线性拟合。定量的关键参数是动脉渡越时间(ATT),即标记血液从标记区域流到组织所需的时间,以及组织 T1。由于 ATT 随血管、生理、麻醉和病理而变化,建议使用多个延迟时间进行测量。本教程介绍了如何使用多个延迟时间和 T 图进行 ASL 数据分析和定量。本章基于 COST 行动 PARENCHIMA 的工作,这是一个由欧洲联盟的欧洲科学与技术合作组织(COST)计划资助的社区驱动网络,旨在提高肾脏 MRI 生物标志物的可重复性和标准化。该分析协议章节由另外两个单独的章节进行补充,描述了基本概念和实验过程。