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7T下人脑血管周围间隙的可视化:序列优化与形态学特征分析

Visualization of perivascular spaces in the human brain at 7T: sequence optimization and morphology characterization.

作者信息

Zong Xiaopeng, Park Sang Hyun, Shen Dinggang, Lin Weili

机构信息

Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

出版信息

Neuroimage. 2016 Jan 15;125:895-902. doi: 10.1016/j.neuroimage.2015.10.078. Epub 2015 Oct 28.

Abstract

Noninvasive imaging of perivascular spaces (PVSs) may provide useful insights into their role in normal brain physiology and diseases. Fast MRI sequences with sub-millimeter spatial resolutions and high contrast-to-noise ratio (CNR) are required for accurate delineation of PVS in human. To achieve the optimal condition for PVS imaging at 7T, we carried out detailed simulation and experimental studies to characterize the dependence of CNR on imaging sequences (T1 versus T2-weighted) and sequence parameters. In addition, PVSs were segmented semi-automatically, which revealed much larger numbers of PVSs in young healthy subjects (age 21-37years) than previously reported. To the best of our knowledge, our study provides, for the first time, detailed length, volume, and diameter distributions of PVS in the white matter and subcortical nuclei, which can serve as a reference for future studies of PVS abnormalities under diseased conditions.

摘要

血管周围间隙(PVS)的无创成像可能有助于深入了解其在正常脑生理学和疾病中的作用。为了在人体中准确描绘PVS,需要具有亚毫米空间分辨率和高对比度噪声比(CNR)的快速MRI序列。为了实现7T下PVS成像的最佳条件,我们进行了详细的模拟和实验研究,以表征CNR对成像序列(T1加权与T2加权)和序列参数的依赖性。此外,对PVS进行了半自动分割,结果显示年轻健康受试者(21 - 37岁)中的PVS数量比之前报道的要多得多。据我们所知,我们的研究首次提供了白质和皮质下核中PVS的详细长度、体积和直径分布,可为未来疾病状态下PVS异常的研究提供参考。

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