This work introduces a novel way to analyze MR spectroscopic imaging scans by characterizing grey matter and white matter tissue types based on their contributions to metabolite concentrations. This method extracts grey matter and white matter components from anatomical images after tissue segmentation and correlates them with relative metabolite concentrations. The value of the method is shown in visualizing different metabolic profiles for grey and white matter and establishing ranges of metabolite contribution.
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