A weighted iterative low-field NMR t2 spectrum inversion algorithm

Abstract

The invention relates to a weighted iterative low-field nuclear magnetic resonance T2 spectrum inversion algorithm, comprising the following steps: (1) reading the original data files collected by low-field nuclear magnetic resonance equipment; (2) performing preprocessing operations on the original data to obtain Inverting the core matrix K and the vector m composed of the signal amplitude of the echo time of each echo peak in the original data; (3) calculating the signal-to-noise ratio, curvature, and slope of the collected data, and then obtaining the inversion weight matrix; (4) Use the inversion weight matrix to carry out weighted iterative solution formula: m=Ks, get the optimal solution of s, s represents the vector composed of the material content corresponding to the transverse relaxation time; (5) draw T2 spectrum according to the optimal solution. Compared with the prior art, the present invention weights the short relaxation components, which is closer to the sparsity of the original signal, has high calculation accuracy and good robustness, and can obtain stable inversion in the case of different signal-to-noise ratio data result.

Description

technical field [0001] The invention relates to a nuclear magnetic resonance signal processing technology, in particular to a weighted iterative low-field nuclear magnetic resonance T2 spectrum inversion algorithm. Background technique [0002] Worldwide, nuclear magnetic resonance technology is developing rapidly and has been widely developed in many fields, such as the application of high-field-strength nuclear magnetic resonance technology to clinical diagnosis of the human body. With the continuous development of nuclear magnetic resonance technology, it is found that nuclear magnetic resonance technology can not only be applied clinically, but also in other fields (such as food science, agriculture, petroleum energy, material science, textile chemical industry, etc.) effect. Many scientific studies have proved that the application of nuclear magnetic resonance analysis technology in these fields can solve problems that cannot be solved by other existing scientific inst...

AI Technical Summary

Problems solved by technology

[0005] In the CPMG sequence, the decay rate of the short relaxation components is relatively fast. The existing algorithms treat each data equally, which makes it easy for the long relaxation components to absorb the short relaxation components and form a large spectral peak during the inversion calculation.

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