Beyond traditional Magnetic Resonance processing with Artificial Intelligence

Autor:	Jahangiri, Amir, Orekhov, Vladislav
Rok vydání:	2024
Předmět:	Physics - Biological Physics Computer Science - Machine Learning Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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 several artificial neural networks in our new toolbox Magnetic Resonance with Artificial intelligence (MR-Ai) to solve three "impossible" problems: 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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2405.07657 Zobrazit plný text záznamu View this record from Arxiv