Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
J Neurosci Methods. 2021 Mar 1;351:108947. doi: 10.1016/j.jneumeth.2020.108947. Epub 2020 Oct 21.
The aspiration of imaging tissue microstructure with MRI is to uncover micrometer-scale tissue features within millimeter-scale imaging voxels, in vivo. This kind of super-resolution has fueled a paradigm shift within the biomedical imaging community. However, what feels like an ongoing revolution in MRI, has been conceptually experienced in physics decades ago; from this point of view, our current developments can be seen as Thomas Kuhn's "normal science" stage of progress. While the concept of model-based quantification below the nominal imaging resolution is not new, its possibilities in neuroscience and neuroradiology are only beginning to be widely appreciated. This disconnect calls for communicating the progress of tissue microstructure MR imaging to its potential users. Here, a number of recent research developments are outlined in terms of the overarching concept of coarse-graining the tissue structure over an increasing diffusion length. A variety of diffusion models and phenomena are summarized on the phase diagram of diffusion MRI, with the unresolved problems and future directions corresponding to its unexplored domains.
用 MRI 对组织微结构进行成像的目的是在毫米级成像体素中揭示微米级的组织特征,实现超高分辨率,这一目标在生物医学成像领域引发了一场变革。然而,这种在 MRI 领域看似持续不断的革命,在几十年前的物理学领域就已经经历过了;从这个角度来看,我们目前的发展可以被视为托马斯·库恩(Thomas Kuhn)“常规科学”阶段的进展。虽然低于名义成像分辨率的基于模型的量化的概念并不新鲜,但它在神经科学和神经放射学中的可能性才刚刚开始被广泛认识。这种脱节需要将组织微结构磁共振成像的进展传达给潜在的用户。在这里,从组织结构在扩散长度上逐渐变粗的总体概念出发,概述了一些最近的研究进展。在扩散磁共振成像的相图上总结了各种扩散模型和现象,与未解决的问题和未来的方向相对应的是其尚未探索的领域。