A recently described non-water suppressed diffusion-weighting MR spectroscopy sequence was applied in 13 healthy volunteers. The method uses the large water signal to compensate motion-related signal drop for the metabolite signals. 2D signal modeling with FiTAID allows for implementation of different prior knowledge constraints in order to prevent non-physical solutions or to restrict the number of unknown diffusion constants. In gray matter, highly significant differences for ADCs of several metabolites (faster diffusion for glutamate than NAA or myo-inositol) were found and their dependence on prior knowledge constraints investigated.
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