From Peaks to Patterns

MRS is a non-invasive method for gathering information about cellular metabolism and can be used to study neurological and metabolic disorders. However, the clinical utility is limited by low signal quality, overlapping spectral peaks, and the inability to interpret and compare metabolite data. We developed an interactive visual analysis system that integrates methods for filtering, quality measurement, and comparative summaries of MRS signals, enabling researchers to more effectively evaluate and interpret spectral data. This will enable researchers to conduct a more accurate evaluation of spectral data, thereby facilitating a deeper understanding of the molecular processes underlying complex neurological and metabolic processes.