Abstract #0161

Macromolecule modelling for improved metabolite quantification using very short echo time MRS at 3T: The PRaMM model

Andrea Dell'Orco^1,2,3,4, Layla Tabea Riemann², Semiha Aydin², Michael Scheel¹, and Ariane Fillmer²

¹Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Department of Neuroradiology, Berlin, Germany, ²Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany, ³Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Berlin, Germany, ⁴Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research, Berlin, Germany

Synopsis

The accurate quantification of ultra-short echo-time ¹H-MRS spectra is challenging due to broad macromolecular (MM) signal components. Here, we propose the parameterized-ratio MM (PRaMM) method to model the MM and its use in linear-combination model fitting of ¹H-MRS spectra. The PRaMM method uses ratios of MM signal amplitudes as soft-constraints to limit the degrees of freedom of the fitting model, while allowing for more flexibility than commonly used approaches. The suggested model is demonstrated to improve the quantification of metabolites compared to two common methods for MM treatment.

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