Suppr超能文献

微观结构 MRI 的现状与未来:从范式转变到常规科学。

The present and the future of microstructure MRI: From a paradigm shift to normal science.

机构信息

Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.

出版信息

J Neurosci Methods. 2021 Mar 1;351:108947. doi: 10.1016/j.jneumeth.2020.108947. Epub 2020 Oct 21.

Abstract

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.

摘要

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。

相似文献

9
Microstructure with diffusion MRI: what scale we are sensitive to?扩散磁共振成像的微观结构:我们对何种尺度敏感?
J Neurosci Methods. 2021 Jan 1;347:108910. doi: 10.1016/j.jneumeth.2020.108910. Epub 2020 Aug 14.
10
White matter biomarkers from diffusion MRI.弥散 MRI 的白质生物标志物。
J Magn Reson. 2018 Jun;291:127-140. doi: 10.1016/j.jmr.2018.03.001. Epub 2018 Apr 26.

引用本文的文献

1
Diffusion tractography of kidney by high angular resolution diffusion imaging.基于高角分辨率扩散成像的肾脏扩散张量成像
Magn Reson Lett. 2024 Mar 24;4(4):200117. doi: 10.1016/j.mrl.2024.200117. eCollection 2024 Nov.
7
Engineering clinical translation of OGSE diffusion MRI.OGSE扩散磁共振成像的工程临床翻译
Magn Reson Med. 2025 Sep;94(3):913-936. doi: 10.1002/mrm.30510. Epub 2025 May 7.

本文引用的文献

2
Double diffusion encoding and applications for biomedical imaging.双重扩散编码及其在生物医学成像中的应用。
J Neurosci Methods. 2021 Jan 15;348:108989. doi: 10.1016/j.jneumeth.2020.108989. Epub 2020 Nov 1.
4
Microstructure with diffusion MRI: what scale we are sensitive to?扩散磁共振成像的微观结构:我们对何种尺度敏感?
J Neurosci Methods. 2021 Jan 1;347:108910. doi: 10.1016/j.jneumeth.2020.108910. Epub 2020 Aug 14.
5
Challenges for biophysical modeling of microstructure.微观结构的生物物理建模面临的挑战。
J Neurosci Methods. 2020 Oct 1;344:108861. doi: 10.1016/j.jneumeth.2020.108861. Epub 2020 Jul 18.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验