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Abstract #4237

Spectral quality differentially affects apparent concentrations of individual metabolites as estimated by linear combination modeling of in vivo MR spectroscopy data at 7 Tesla

Kelley M. Swanberg1,2, Hetty Prinsen2, and Christoph Juchem1,2,3,4

1Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, United States, 2Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States, 3Radiology, Columbia University Medical Center, New York, NY, United States, 4Neurology, Yale School of Medicine, New Haven, CT, United States

In vivo magnetic resonance spectroscopy currently lacks data-driven quality control standards, the development of which can be informed by characterizing the effects of spectral quality on metabolite quantification. We assess the influences of spectral line width and signal-to-noise ratio on both simulated and experimentally derived in vivo resonances from twenty-one metabolites measured by short-echo-time STEAM and J-difference editing for glutathione and GABA at 7 Tesla. We show that spectral quality exerts distinct effects on apparent concentrations of different metabolites, underlining the importance of explicit quality analysis in studies employing in vivo magnetic resonance spectroscopy, especially cross-sectional investigations of physiologically distinct groups.

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