Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Arnold-Heller-Str. 3, 24103, Kiel, Germany.
Philips GmbH Innovative Technologies Research Laboratories, Röntgenstraße 24-26, 22335, Hamburg, Germany.
Eur Radiol. 2018 Mar;28(3):1227-1233. doi: 10.1007/s00330-017-5066-7. Epub 2017 Oct 2.
Arterial spin labelling (ASL) is a method of non-contrast-enhanced perfusion imaging that is generally based on the acquisition of two images which must be subtracted in order to obtain perfusion-weighted images. This is also the case for some flow territory mapping approaches that require the acquisition of two images for each artery of interest, thereby prolonging scan time and yielding largely redundant information. The aim of this study is to accelerate flow territory mapping using ASL by eliminating the acquisition of a control condition.
Using super-selective ASL, only one artery of interest is tagged, while the contralateral arteries are in a state similar to the control condition. By using an arithmetic combination of the label images of all territories, selective images of flow territories can be obtained without the need to acquire an additional control condition. This approach for obtaining artery-selective perfusion-weighted images without acquiring a control condition is presented in this study and is referred to as "self-controlled super-selective ASL".
Quantitative perfusion measurements were similar to conventional super-selective and non-selective perfusion imaging across all subjects.
Super-selective arterial spin labelling can be performed without acquiring a control image.
• An accelerated method of flow territory mapping is presented. • Super-selective arterial spin labelling is performed without a control condition. • A new approach for calculating individual flow territories is presented. • The presented technique is compared to established approaches. • The outcome is similar to that using conventional techniques.
动脉自旋标记（ASL）是一种非对比增强灌注成像方法，通常基于采集两幅图像，以便获得灌注加权图像。对于一些需要为每条感兴趣的动脉采集两幅图像的血流域映射方法也是如此，这延长了扫描时间并产生了大量冗余信息。本研究旨在通过消除对照条件的采集来加速血流域映射。
使用超选择性 ASL，仅标记一条感兴趣的动脉，而对侧动脉处于类似于对照条件的状态。通过对所有感兴趣区域的标记图像进行算术组合，可以获得选择性血流域图像，而无需采集额外的对照条件。本文介绍了一种无需采集对照条件即可获得动脉选择性灌注加权图像的方法，称为“自控超选择性 ASL”。
在所有受试者中，定量灌注测量结果与常规超选择性和非选择性灌注成像相似。
无需采集对照图像即可进行超选择性动脉自旋标记。
• 提出了一种加速血流域映射的方法。• 无需对照条件即可进行超选择性动脉自旋标记。• 提出了一种计算个体血流域的新方法。• 对提出的技术与已建立的技术进行了比较。• 结果与传统技术相似。
