Beyond traditional magnetic resonance processing with artificial intelligence

Abstract

Smart signal processing approaches using Artificial Intelligence are gaining momentum in NMR applications. In this study, we demonstrate that AI offers new opportunities beyond tasks addressed by traditional techniques. We developed and trained artificial neural networks to solve three problems that until now were deemed “impossible”: quadrature detection using only Echo (or Anti-Echo) modulation from the traditional Echo/Anti-Echo scheme; accessing uncertainty of signal intensity at each point in a spectrum processed by any given method; and defining a reference-free score for quantitative access of NMR spectrum quality. Our findings highlight the potential of AI techniques to revolutionize NMR processing and analysis. Smart signal processing approaches using Artificial Intelligence are gaining momentum in NMR applications. Here, the authors use AI for quadrature detection using only (Anti-)Echo modulation, accessing uncertainties of signal intensities at each point in a spectrum processed by any given method, and to define a reference-free score of NMR spectrum quality.