Automated processing for proton spectroscopic imaging using water reference deconvolution

Andrew A. Maudsley, Zhe Wu, Dieter J. Meyerhoff, Michael W. Weiner

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


Automated formation of MR spectroscopic images (MRSI) is necessary before routine application of these methods is possible for in vivo studies; however, this task is complicated by the presence of spatially dependent instrumental distortions and the complex nature of the MR spectrum. A data processing method is presented for completely automated formation of in vivo proton spectroscopic images, and applied for analysis of human brain metabolites. This procedure uses the water reference deconvolution method (G. A. Morris, J. Magn. Reson. 80, 547(1988)) to correct for line shape distortions caused by instrumental and sample characteristics, followed by parametric spectral analysis. Results for automated image formation were found to compare favorably with operator dependent spectral integration methods. While the water reference deconvolution processing was found to provide good correction of spatially dependent resonance frequency shifts, it was found to be susceptible to errors for correction of line shape distortions. These occur due to differences between the water reference and the metabolite distributions.

Original languageEnglish (US)
Pages (from-to)589-595
Number of pages7
JournalMagnetic Resonance in Medicine
Issue number6
StatePublished - Jun 1994
Externally publishedYes


  • data processing
  • in vivo proton magnetic resonance
  • spectroscopic imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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