The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
NMR Biomed. 2019 Feb;32(2):e4051. doi: 10.1002/nbm.4051. Epub 2018 Dec 26.
Arterial spin labeling (ASL) MRI is increasingly used in research and clinical settings. The purpose of this work is to develop a cloud-based tool for ASL data processing, referred to as ASL-MRICloud, which may be useful to the MRI community. In contrast to existing ASL toolboxes, which are based on software installation on the user's local computer, ASL-MRICloud uses a web browser for data upload and results download, and the computation is performed on the remote server. As such, this tool is independent of the user's operating system, software version, and CPU speed. The ASL-MRICloud tool was implemented to be compatible with data acquired by scanners from all major MRI manufacturers, is capable of processing several common forms of ASL, including pseudo-continuous ASL and pulsed ASL, and can process single-delay and multi-delay ASL data. The outputs of ASL-MRICloud include absolute and relative values of cerebral blood flow, arterial transit time, voxel-wise masks indicating regions with potential hyper-perfusion and hypo-perfusion, and an image quality index. The ASL tool is also integrated with a T -based brain segmentation and normalization tool in MRICloud to allow generation of parametric maps in standard brain space as well as region-of-interest values. The tool was tested on a large data set containing 309 ASL scans as well as on publicly available ASL data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study.
动脉自旋标记(ASL)MRI 越来越多地用于研究和临床环境。本工作的目的是开发一种基于云的 ASL 数据处理工具,称为 ASL-MRICloud,这可能对 MRI 社区有用。与基于用户本地计算机上软件安装的现有 ASL 工具箱不同,ASL-MRICloud 使用网络浏览器进行数据上传和结果下载,并且计算在远程服务器上进行。因此,该工具与用户的操作系统、软件版本和 CPU 速度无关。ASL-MRICloud 工具的实现与来自所有主要 MRI 制造商的扫描仪采集的数据兼容,能够处理几种常见形式的 ASL,包括伪连续 ASL 和脉冲 ASL,并且可以处理单延迟和多延迟 ASL 数据。ASL-MRICloud 的输出包括脑血流的绝对和相对值、动脉渡越时间、表示潜在高灌注和低灌注区域的体素掩模以及图像质量指数。ASL 工具还与 MRICloud 中的 T 基脑分割和归一化工具集成,以允许在标准脑空间以及感兴趣区域值中生成参数图。该工具在包含 309 个 ASL 扫描的大型数据集以及来自阿尔茨海默病神经影像学倡议(ADNI)研究的公开可用 ASL 数据上进行了测试。