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Abstract:
In parallel 1H MRSI, artifacts detrimental to spectral quality can be due to low sampling resolution and residual aliasing. We therefore introduce a novel reconstruction method that minimizes the deviation from a predefined target shape for the spectral response function (SRF). Based on undersampled 3T in vivo MRSI data, we demonstrate that by this method, a significant reduction in spectral contamination originating from subcranial fat can be achieved. In particular, Gaussian target shapes lead to vastly improved fat artifact suppression compared to standard reconstruction.
