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Abstract #0514

Longitudinal Relaxation Times of Metabolites in vivo at 9.4 T

Andrew Martin Wright1,2, Saipavitra Murali-Manohar1, Tamas Borbath1, and Anke Henning1

1MRZ, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Eberhard-Karls University of Tübingen, Tuebingen, Germany

Longitudinal relaxation times for 11 human brain metabolites are reported for GM and WM rich voxels at 9.4T. These values are reported to potentiate the ability to perform absolute quantification at 9.4T in humans with reference to water. A bi-exponential model was used to fit the signal curve from using an inversion recovery metabolite cycling STEAM sequence. Results are further extrapolated to report the T1-relaxation from a theoretically pure WM and GM voxel by means of a linear assumption of the relaxation time and tissue contribution of a voxel.

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