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使用双脉冲场梯度磁共振成像来研究创伤性脑损伤（TBI）中的组织微观结构。

Using double pulsed-field gradient MRI to study tissue microstructure in traumatic brain injury (TBI).

作者信息

Komlosh Michal E, Benjamini Dan, Hutchinson Elizabeth B, King Sarah, Haber Margalit, Avram Alexandru V, Holtzclaw Lynne A, Desai Abhishek, Pierpaoli Carlo, Basser Peter J

机构信息

Section on Quantitative Imaging and Tissue Sciences, NICHD, National Institutes of Health, Bethesda, MD, USA.

Center for Neuroscience and Regenerative Medicine, Uniform Service University of the Health Sciences, Bethesda, MD, USA.

出版信息

Microporous Mesoporous Mater. 2018 Oct;269:156-159. doi: 10.1016/j.micromeso.2017.05.030. Epub 2017 Mar 25.

DOI:10.1016/j.micromeso.2017.05.030
PMID:30337835
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6188654/
Abstract

Double pulsed-field gradient (dPFG) MRI is proposed as a new sensitive tool to detect and characterize tissue microstructure following diffuse axonal injury. In this study dPFG MRI was used to estimate apparent mean axon diameter in a diffuse axonal injury animal model and in healthy fixed mouse brain. Histological analysis was used to verify the presence of the injury detected by MRI.

摘要

双脉冲场梯度（dPFG）磁共振成像被提议作为一种新的灵敏工具，用于检测弥漫性轴索损伤后的组织微观结构并对其进行特征描述。在本研究中，dPFG磁共振成像被用于估计弥漫性轴索损伤动物模型和健康固定小鼠大脑中的表观平均轴突直径。组织学分析用于验证磁共振成像检测到的损伤的存在。

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White matter microstructure from nonparametric axon diameter distribution mapping.基于非参数轴突直径分布映射的白质微观结构
Neuroimage. 2016 Jul 15;135:333-44. doi: 10.1016/j.neuroimage.2016.04.052. Epub 2016 Apr 26.
3
Merging pathology with biomechanics using CHIMERA (Closed-Head Impact Model of Engineered Rotational Acceleration): a novel, surgery-free model of traumatic brain injury.
新型孔径可控、磁化率匹配的 3D 打印 MRI 体模。
Magn Reson Med. 2024 Jun;91(6):2431-2442. doi: 10.1002/mrm.30029. Epub 2024 Feb 18.
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disentanglement of diffusion frequency-dependence, tensor shape, and relaxation using multidimensional MRI.使用多维磁共振成像对扩散频率依赖性、张量形状和弛豫进行解缠。
bioRxiv. 2023 Oct 10:2023.10.10.561702. doi: 10.1101/2023.10.10.561702.
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Brain Commun. 2023 Oct 6;5(6):fcad258. doi: 10.1093/braincomms/fcad258. eCollection 2023.
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