It has been previously established that inappropriately modeled spectral baselines can confound metabolite concentration estimates by in vivo 1H MRS even while contributing to visually reasonable fits. The systematic optimization of spectral quantification pipelines, including baseline modeling, continues nonetheless to be impeded by an under-utilization of validation methods both physically meaningful and involving perfect prior knowledge. Here we address the extant need for evidence-based spectral baseline handling by combining the practical utility of in vivo data with the prior knowledge enabled by simulated standards. We use this paradigm to compare various baseline models for macromolecule characterization and metabolite quantification accuracy.
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