Magnetic resonance microdynamic imaging reveals distinct tissue microenvironments.
Magnetic resonance microdynamic imaging reveals distinct tissue microenvironments.
复制标题
DOI：
10.1016/j.neuroimage.2017.09.033
复制
发表时间：
2017-12
期刊：
影响因子：
5.7
通讯作者：
Basser PJ
中科院分区：
文献类型：
--
作者：
Benjamini D;Basser PJ
磁共振成像（MRI）提供了一套强有力的工具，可以无创地在体内研究生物组织。组织本质上是异质的;成像体素包含不同细胞和细胞外基质组分的集合。一个长期存在的挑战是推断宏观成像体素内这些微观组织成分的内容和相互作用。空间分辨多维弛豫扩散相关（REDCO）光谱具有提供这种微动力学信息的潜力。然而，到目前为止，大量的数据需求主要将这些类型的测量降级为核磁共振应用，并阻止它们与成像结合使用。通过使用一种新的数据采集和处理策略，在这项研究中，空间分辨REDCO可以在合理的扫描时间进行，具有良好的临床应用前景。这种新的MR成像框架，我们称之为“磁共振微动态成像（MRMI）”，允许同时非侵入性和无模型量化的多个亚细胞，细胞和间质组织微环境中的体素。MRMI是用固定的脊髓标本证明的，能够以前所未有的特异性定量微观组织成分。组织成分，如轴突，神经元和神经胶质索马，和髓鞘的基础上，他们的多光谱签名内的个别成像体素。这些组织成分可以组成图像，并与免疫组织化学结果相关联。MRMI提供了组织成分的新的图像对比度和新的微动力学生物标志物家族，这可能导致新的诊断成像方法来探测伴随病理或发育变化的生物组织改变。
Magnetic resonance imaging (MRI) provides a powerful set of tools with which to investigate biological tissues noninvasively and in vivo. Tissues are heterogeneous in nature; an imaging voxel contains an ensemble of different cells and extracellular matrix components. A long-standing challenge has been to infer the content of and interactions among these microscopic tissue components within a macroscopic imaging voxel. Spatially resolved multidimensional relaxation–diffusion correlation (REDCO) spectroscopy holds the potential to deliver such microdynamic information. However, to date, vast data requirements have mostly relegated these type of measurements to nuclear magnetic resonance applications and prevented them from being widely and successfully used in conjunction with imaging. By using a novel data acquisition and processing strategy in this study, spatially resolved REDCO could be performed in reasonable scanning times with excellent prospects for clinical applications. This new MR imaging framework—which we term “magnetic resonance microdynamic imaging (MRMI)”—permits the simultaneous noninvasive and model-free quantification of multiple subcellular, cellular, and interstitial tissue microenvironments within a voxel. MRMI is demonstrated with a fixed spinal cord specimen, enabling the quantification of microscopic tissue components with unprecedented specificity. Tissue components, such as axons, neuronal and glial soma, and myelin were identified on the basis of their multispectral signature within individual imaging voxels. These tissue elements could then be composed into images and be correlated with immunohistochemistry findings. MRMI provides novel image contrasts of tissue components and a new family of microdynamic biomarkers that could lead to new diagnostic imaging approaches to probe biological tissue alterations accompanied by pathological or developmental changes.
登录
查看更多内容
影响因子：
5.7
作者：
Flint, Jeremy J.;Hansen, Brian;Portnoy, Sharon;Lee, Choong-Heon;King, Michael A.;Fey, Michael;Vincent, Franck;Stanisz, Greg J.;Vestergaard-Poulsen, Peter;Blackband, Stephen J.
通讯作者：
Blackband, Stephen J.
影响因子：
8.6
作者：
Benjamini, Dan;Komlosh, Michal E.;Basser, Peter J.
通讯作者：
Basser, Peter J.
影响因子：
3.3
作者：
Bjarnason, TA;Vavasour, IM;MacKay, AL
通讯作者：
MacKay, AL
影响因子：
5.7
作者：
Avram AV;Sarlls JE;Barnett AS;Özarslan E;Thomas C;Irfanoglu MO;Hutchinson E;Pierpaoli C;Basser PJ
通讯作者：
Basser PJ
影响因子：
2.5
作者：
Azevedo, Frederico A. C.;Carvalho, Ludmila R. B.;Herculano-Houzel, Suzana
通讯作者：
Herculano-Houzel, Suzana