Macromolecule Modelling for Improved Metabolite Quantification Using Short Echo Time Brain <sup>1</sup>H-MRS at 3 T and 7 T: The PRaMM Model.
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ABSTRACT: To improve reliability of metabolite quantification at both, 3 T and 7 T, we propose a novel parametrized macromolecules quantification model (PRaMM) for brain 1H MRS, in which the ratios of macromolecule peak intensities are used as soft constraints. Full- and metabolite-nulled spectra were acquired in three different brain regions with different ratios of grey and white matter from six healthy volunteers, at both 3 T and 7 T. Metabolite-nulled spectra were used to identify highly correlated macromolecular signal contributions and estimate the ratios of their intensities. These ratios were then used as soft constraints in the proposed PRaMM model for quantification of full spectra. The PRaMM model was validated by comparison with a single-component macromolecule model and a mac
SUBMITTER: Dell'Orco A
PROVIDER: S-EPMC11658865 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature
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