Abstract: Low-field NMR(Nuclear Magnetic Resonance) technology has been widely used in the detection of physical properties of substances due to its fast and non-destructive characteristics. To solve the problem that the imaging accuracy of T₂ spectral is low, which affects the accuracy of detection results. Therefore the imaging method of NMR T₂ spectral based on Bayesian is studied. Firstly, the basic characteristics of NMR signals are showen. Based on the Bayesian principle, the likelihood function of NMR signals is deduced, and the T₂ spectral imaging framework is constructed. Secondly, the T₂ spectrum and its uncertainty are obtained by using an improved Markov chain Monte Carlo strategy. Finally, the effectiveness of the Bayesian-based NMR T₂  spectral imaging method is verified by randomly constructing a T₂ spectral model that obeys a multimodal mixture Gaussian probability density function. This method can be used as a comprehensive experimental content of communication principle, and can also be used as an innovative training experiment.

Key words: nuclear magnetic resonance(NMR); , imaging method of T₂ spectral; , Bayesian