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Motion correction in magnetic resonance spectroscopy
Author(s) -
Saleh Muhammad G.,
Edden Richard A. E.,
Chang Linda,
Ernst Thomas
Publication year - 2020
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.28287
Subject(s) - homogeneity (statistics) , nuclear magnetic resonance , magnetic resonance imaging , voxel , in vivo magnetic resonance spectroscopy , magnetic resonance spectroscopic imaging , computer science , spectroscopy , physics , computer vision , radiology , medicine , quantum mechanics , machine learning
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.