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Automated processing for proton spectroscopic imaging using water reference deconvolution.

A A Maudsley·Z Wu·D J Meyerhoff·M W Weiner
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Abstract

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.

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ArtifactsAspartic AcidBody WaterBrainCholineCreatineElectronic Data ProcessingFourier AnalysisHumansHydrogenImage EnhancementLactatesLipid MetabolismMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMultiple SclerosisPhosphocreatineProtonsWaterJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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A A Maudsley, Z Wu, D J Meyerhoff, M W Weiner. 1994. Automated processing for proton spectroscopic imaging using water reference deconvolution.. https://doi.org/10.1002/mrm.1910310603

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