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Preprocessing, analysis and quantification in single‐voxel magnetic resonance spectroscopy: experts' consensus recommendations
Author(s) -
Near Jamie,
Harris Ashley D.,
Juchem Christoph,
Kreis Roland,
Marjańska Małgorzata,
Öz Gülin,
Slotboom Johannes,
Wilson Martin,
Gasparovic Charles
Publication year - 2021
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.4257
Subject(s) - preprocessor , voxel , computer science , workflow , metabolite , signal (programming language) , pattern recognition (psychology) , artificial intelligence , data mining , nuclear magnetic resonance , chemistry , physics , biochemistry , database , programming language
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.