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Preprocessing, analysis and quantification in single-voxel magnetic resonance spectroscopy: experts' consensus recommendations.
Journal article

Preprocessing, analysis and quantification in single-voxel magnetic resonance spectroscopy: experts' consensus recommendations.

  • Near J Douglas Mental Health University Institute and Department of Psychiatry, McGill University, Montreal, Canada.
  • Harris AD Department of Radiology, University of Calgary, Calgary, Canada.
  • Juchem C Departments of Biomedical Engineering and Radiology, Columbia University, New York, New York.
  • Kreis R Departments of Radiology and Biomedical Research, University Bern, Switzerland.
  • Marjańska M Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota.
  • Öz G Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota.
  • Slotboom J Support Center for Advanced Neuroimaging (SCAN), Neuroradiology, University Hospital Inselspital, Bern, Switzerland.
  • Wilson M Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK.
  • Gasparovic C The Mind Research Network, Albuquerque, New, Mexico.
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  • 2020-02-22
Published in:
  • NMR in biomedicine. - 2020
MRS
analysis
preprocessing
processing
quantification
quantitation
water referencing
English 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.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://folia.unifr.ch/global/documents/239931
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