人类连接体项目
连接体
计算机科学
图像质量
扩散成像
磁共振弥散成像
限制
信号(编程语言)
图像分辨率
高分辨率
人工智能
神经科学
功能连接
图像(数学)
磁共振成像
地质学
医学
遥感
心理学
机械工程
工程类
放射科
程序设计语言
作者
An T. Vu,Edward J. Auerbach,Christophe Lenglet,Steen Moeller,Stamatios N. Sotiropoulos,Saâd Jbabdi,Jesper Andersson,Essa Yacoub,Kâmil Uğurbil
出处
期刊:NeuroImage
[Elsevier]
日期:2015-11-01
卷期号:122: 318-331
被引量:165
标识
DOI:10.1016/j.neuroimage.2015.08.004
摘要
Mapping structural connectivity in healthy adults for the Human Connectome Project (HCP) benefits from high quality, high resolution, multiband (MB)-accelerated whole brain diffusion MRI (dMRI). Acquiring such data at ultrahigh fields (7T and above) can improve intrinsic signal-to-noise ratio (SNR), but suffers from shorter T2 and T2(⁎) relaxation times, increased B1(+) inhomogeneity (resulting in signal loss in cerebellar and temporal lobe regions), and increased power deposition (i.e. specific absorption rate (SAR)), thereby limiting our ability to reduce the repetition time (TR). Here, we present recent developments and optimizations in 7T image acquisitions for the HCP that allow us to efficiently obtain high quality, high resolution whole brain in-vivo dMRI data at 7T. These data show spatial details typically seen only in ex-vivo studies and complement already very high quality 3T HCP data in the same subjects. The advances are the result of intensive pilot studies aimed at mitigating the limitations of dMRI at 7T. The data quality and methods described here are representative of the datasets that will be made freely available to the community in 2015.
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