Department of Anatomy Medical Imaging & Centre for Brain Research, University of Auckland, Auckland, New Zealand.
Hyperfine Research, Guilford, CT, USA.
NMR Biomed. 2019 Apr;32(4):e4056. doi: 10.1002/nbm.4056. Epub 2019 Feb 7.
Diffusion-weighted imaging, a contrast unique to MRI, is used for assessment of tissue microstructure in vivo. However, this exquisite sensitivity to finer scales far above imaging resolution comes at the cost of vulnerability to errors caused by sources of motion other than diffusion motion. Addressing the issue of motion has traditionally limited diffusion-weighted imaging to a few acquisition techniques and, as a consequence, to poorer spatial resolution than other MRI applications. Advances in MRI imaging methodology have allowed diffusion-weighted MRI to push to ever higher spatial resolution. In this review we focus on the pulse sequences and associated techniques under development that have pushed the limits of image quality and spatial resolution in diffusion-weighted MRI.
扩散加权成像，一种 MRI 特有的对比技术，用于评估组织的微观结构。然而，这种对远高于成像分辨率的精细尺度的敏感性是以对扩散运动以外的运动源引起的误差敏感为代价的。解决运动问题一直将扩散加权成像限制在少数几种采集技术中，因此，其空间分辨率比其他 MRI 应用要差。MRI 成像方法的进步使扩散加权 MRI 能够达到更高的空间分辨率。在这篇综述中，我们重点介绍了推动扩散加权 MRI 图像质量和空间分辨率极限的发展中的脉冲序列和相关技术。
