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2
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3
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Simultaneous editing of GABA and GSH with Hadamard-encoded MR spectroscopic imaging.使用 Hadamard 编码磁共振波谱成像同时编辑 GABA 和 GSH。
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磁共振波谱中的运动校正

Motion correction in magnetic resonance spectroscopy.

作者信息

Saleh Muhammad G, Edden Richard A E, Chang Linda, Ernst Thomas

机构信息

Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.

出版信息

Magn Reson Med. 2020 Nov;84(5):2312-2326. doi: 10.1002/mrm.28287. Epub 2020 Apr 17.

DOI:10.1002/mrm.28287
PMID:32301174
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8386494/
Abstract

In vivo proton magnetic resonance spectroscopy and spectroscopic imaging (MRS/MRSI) are valuable tools to study normal and abnormal human brain physiology. However, they are sensitive to motion, due to strong crusher gradients, long acquisition times, reliance on high magnetic field homogeneity, and particular acquisition methods such as spectral editing. The effects of motion include incorrect spatial localization, phase fluctuations, incoherent averaging, line broadening, and ultimately quantitation errors. Several retrospective methods have been proposed to correct motion-related artifacts. Recent advances in hardware also allow prospective (real-time) correction of the effects of motion, including adjusting voxel location, center frequency, and magnetic field homogeneity. This article reviews prospective and retrospective methods available in the literature and their implications for clinical MRS/MRSI. In combination, these methods can attenuate or eliminate most motion-related artifacts and facilitate the acquisition of high-quality data in the clinical research setting.

摘要

体内质子磁共振波谱和波谱成像(MRS/MRSI)是研究正常和异常人类脑生理学的宝贵工具。然而,由于强扰相梯度、长采集时间、对高磁场均匀性的依赖以及诸如谱编辑等特定采集方法,它们对运动敏感。运动的影响包括空间定位不正确、相位波动、非相干平均、谱线展宽,最终导致定量误差。已经提出了几种回顾性方法来校正与运动相关的伪影。硬件方面的最新进展也允许对运动影响进行前瞻性(实时)校正,包括调整体素位置、中心频率和磁场均匀性。本文综述了文献中可用的前瞻性和回顾性方法及其对临床MRS/MRSI的影响。这些方法相结合,可以减弱或消除大多数与运动相关的伪影,并有助于在临床研究环境中获取高质量数据。