Quantifying spectra in the frequency domain

Subechhya Pradhan, Brian J. Soher, Peter B Barker

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


This article provides an overview of frequency-domain spectral fitting methods for one-dimensional magnetic resonance spectra (MRS) in vivo. Methods presented range from simple peak integration, curve-fitting based on different line-shape models, through to linear combination minimization routines that make extensive use of prior knowledge and simulated or acquired 'basis sets' of spectra from constituent compounds. It is shown that the choice of analysis method depends strongly on the type of data to be analyzed, with the simpler methods working best on relatively sparse spectra with minimal peak overlap and cross-correlation. Quantification accuracy is critically dependent on data acquisition and analysis parameters. Uncertainty estimates are discussed, and analyses of human MRS data are exemplified. MRS can give accurate and reproducible concentration estimates of many metabolites with relatively small signals, provided that appropriate care and attention is paid to both data acquisition and analysis protocols.

Original languageEnglish (US)
Pages (from-to)1247-1256
Number of pages10
Issue number2
StatePublished - 2016


  • LCModel
  • MRS
  • Quantification
  • Spectral simulation
  • VeSPA

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy
  • Biomedical Engineering
  • Biochemistry
  • Radiology Nuclear Medicine and imaging


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