生命银行
神经影像学
计算机科学
协议(科学)
原始数据
管道(软件)
人工智能
医学
医学物理学
数据挖掘
病理
生物信息学
替代医学
精神科
生物
程序设计语言
作者
Fidel Alfaro‐Almagro,Mark Jenkinson,Neal K. Bangerter,Jesper Andersson,Ludovica Griffanti,Gwenaëlle Douaud,Stamatios N. Sotiropoulos,Saâd Jbabdi,Moisés Hernández-Fernández,Emmanuel Vallée,Diego Vidaurre,Matthew Webster,Paul J. McCarthy,Chris Rorden,Alessandro Daducci,Daniel C. Alexander,Hui Zhang,Iulius Dragonu,Paul M. Matthews,Karla L. Miller
出处
期刊:NeuroImage
[Elsevier BV]
日期:2017-10-24
卷期号:166: 400-424
被引量:1418
标识
DOI:10.1016/j.neuroimage.2017.10.034
摘要
UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It is currently in the process of bringing back 100,000 of the original participants for brain, heart and body MRI, carotid ultrasound and low-dose bone/fat x-ray. The brain imaging component covers 6 modalities (T1, T2 FLAIR, susceptibility weighted MRI, Resting fMRI, Task fMRI and Diffusion MRI). Raw and processed data from the first 10,000 imaged subjects has recently been released for general research access. To help convert this data into useful summary information we have developed an automated processing and QC (Quality Control) pipeline that is available for use by other researchers. In this paper we describe the pipeline in detail, following a brief overview of UK Biobank brain imaging and the acquisition protocol. We also describe several quantitative investigations carried out as part of the development of both the imaging protocol and the processing pipeline.
科研通智能强力驱动
Strongly Powered by AbleSci AI