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Abstract #3443

Parametrized macromolecule models in the brain 1H MRS quantification: Effect of the baseline spline on quantification uncertainty and precision

Andrea Dell'Orco1,2, Layla Tabea Riemann2, Stephen L. R. Ellison3, Bernd Ittermann2, Anna Tietze1, Michael Scheel1, and Ariane Fillmer2
1Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Neuroradiology, Berlin, Germany, Berlin, Germany, 2Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany., Berlin, Germany, 3LGC Limited Registered, Teddington, Middlesex, United Kingdom

Synopsis

Keywords: Data Analysis, Spectroscopy, macromolecules, single-voxel 1HMRSParametric macromolecule (MM) models can improve the quantification of brain 1H-MRS. We quantified a publicly available repeated-acquisition dataset with LCModel and applied a parametric MM model in conjunction with four different settings for spline node distance and compared the quantification results. Coefficients of variation, average Cramér-Rao lower bound, repeatability, and reproducibility were estimated. A moderate effect of the baseline spline was shown.

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