The slow diffusivity of macromolecules was exploited in 2D signal modeling with FiTAID to estimate the macromolecular baseline in MRS of human brain. Two approaches were used for baseline modeling: (i) a predefined model derived from high-field and T1-based baseline determination and (ii) a model-free description by equally spaced Voigt resonances. Inspection of fit residues and comparison with literature reveals that the second model is more appropriate.
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