Diffusion-weighted MRS was successfully applied at short TE with ultra-high b-values on a 3T Siemens Connectom system. Additional motion compensation based on macromolecule signals was implemented to complement water-signal-based motion compensation, especially at high b-values. By extending simultaneous fitting of interrelated datasets to a biexponential diffusion model, non-Gaussian diffusion behavior of metabolites can be established in a more rigorous fashion. Finally, also the definition of macromolecular background signals by diffusion rather than relaxation properties benefits from these more robust methods and the patterns can now be used as bases for quantification in clinical studies at short-TE.
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