The Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) data repository.
The Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) data repository.
复制标题
脑血流生物医学信息学研究网络 (CBFBIRN) 数据存储库。
DOI：
10.1016/j.neuroimage.2015.05.059
复制
发表时间：
2016
期刊：
影响因子：
5.7
通讯作者：
Liu,ThomasT
中科院分区：
文献类型：
--
作者：
Shin,DavidD;Ozyurt,IBurak;Brown,GregoryG;Fennema-Notestine,Christine;Liu,ThomasT
动脉自旋标记（ASL） MRI提供了准确可靠的脑血流量（CBF）测量。在世界各地的临床和研究环境中，正在收集越来越多的CBF措施，从而在广泛的研究人群和健康状况中获得大量数据。在这里，我们描述了一个具有集成处理工作流的中央脑血流数据存储库，称为脑血流生物医学信息学研究网络（CBFBIRN）。CBFBIRN为分析和比较不同研究和地点的CBF措施提供了一个综合框架。在这项工作中，我们介绍了CBFBIRN的主要功能（数据存储、处理和共享），描述了可用的数据类型，解释了用户如何为数据存储库做出贡献并从中访问现有数据，并讨论了我们对CBFBIRN的长期计划。
Arterial spin labeling (ASL) MRI provides an accurate and reliable measure of cerebral blood flow (CBF). A rapidly growing number of CBF measures are being collected both in clinical and research settings around the world, resulting in a large volume of data across a wide spectrum of study populations and health conditions. Here, we describe a central CBF data repository with integrated processing workflows, referred to as the Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN). The CBFBIRN provides an integrated framework for the analysis and comparison of CBF measures across studies and sites. In this work, we introduce the main capabilities of the CBFBIRN (data storage, processing, and sharing), describe what types of data are available, explain how users can contribute to the data repository and access existing data from it, and discuss our long-term plans for the CBFBIRN.