Once an MRS dataset has been acquired, several important steps must be taken to obtain the desired metabolite concentration measures. First, the data must be preprocessed to prepare them for analysis. Next, the intensity of the metabolite signal(s) of interest must be estimated. Finally, the measured metabolite signal intensities must be converted into scaled concentration units employing a quantitative reference signal to allow meaningful interpretation. In this paper, we review these three main steps in the post-acquisition workflow of a single-voxel MRS experiment (preprocessing, analysis and quantification) and provide recommendations for best practices at each step.
Bibliographical noteFunding Information:
The authors wish to acknowledge the following sources of support. JN is supported by the Natural Sciences and Engineering Research Council of Canada (RGPIN-2014-06072), the Canadian Institutes of Health Research (PJT-148751, PJT-165869) and the Fonds de Recherche du Qu?bec?Sant? (FRQ: 0000035275). ADH is supported by the Natural Sciences and Engineering Research Council of Canada (RGPIN-2017-03875). RK is supported by the Swiss National Science Foundation (Schweizerischer Nationalfonds 320030-175984). G? is supported by the National Institute of Neurological Disorders and Stroke (R01 NS080816). MM and the Centre for Magnetic Resonance Research are supported by the National Institute of Biomedical Imaging and Bioengineering (P41 EB015894) and the Institutional Centre Cores for Advanced Neuroimaging award (P30 NS076408).
© 2020 John Wiley & Sons, Ltd.
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PubMed: MeSH publication types
- Journal Article
- Research Support, N.I.H., Extramural
- Research Support, Non-U.S. Gov't