Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Magn Reson Med. 2021 Dec;86(6):2987-3011. doi: 10.1002/mrm.28963. Epub 2021 Aug 19.
Microstructure imaging seeks to noninvasively measure and map microscopic tissue features by pairing mathematical modeling with tailored MRI protocols. This article reviews an emerging paradigm that has the potential to provide a more detailed assessment of tissue microstructure-combined diffusion-relaxometry imaging. Combined diffusion-relaxometry acquisitions vary multiple MR contrast encodings-such as b-value, gradient direction, inversion time, and echo time-in a multidimensional acquisition space. When paired with suitable analysis techniques, this enables quantification of correlations and coupling between multiple MR parameters-such as diffusivity, , , and . This opens the possibility of disentangling multiple tissue compartments (within voxels) that are indistinguishable with single-contrast scans, enabling a new generation of microstructural maps with improved biological sensitivity and specificity.
微观结构成像是一种通过数学建模与定制的 MRI 方案相结合,对微观组织特征进行非侵入式测量和绘图的方法。本文综述了一种新的范例,该范例有可能对组织微观结构——结合弥散张量成像的评估提供更详细的信息。结合弥散张量成像采集在多维采集空间中改变了多个磁共振对比编码,如 b 值、梯度方向、反转时间和回波时间。当与合适的分析技术结合时,这使得能够量化多个磁共振参数之间的相关性和耦合,如扩散系数、T1、T2 和质子密度。这使得有可能分离单对比度扫描无法区分的多个组织隔室(体素内),从而实现具有更高生物学灵敏度和特异性的新一代微观结构图。