Layla Tabea Riemann on Muck Rack

Layla Tabea Riemann

As seen in: MDPI
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Articles

Macromolecule modelling for improved metabolite quantification using short echo time brain 1H-MRS at 3 T and 7 T: The PRaMM Model

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By Layla Tabea Riemann, Stephen Ellison, Semiha Aydin, Andrea Dell'Orco
| biorxiv.org
Abstract Purpose: 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. Methods: 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.
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An Open-Source Software Tool to Facilitate Data Protection Impact Assessments

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By Layla Tabea Riemann, Ann-Kathrin Schmitz, Maximilian Ataian, Matthias Jaster
| MDPI
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