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Time domain nuclear magnetic resonance spectrum inversion method

A nuclear magnetic resonance spectrum and nuclear magnetic resonance technology, applied in the field of signal processing, can solve the problems of small fitting error, limit the complexity of the inversion spectrum, and the change of the inversion spectrum, achieve good robustness, improve execution efficiency and spectrum accuracy The effect of resolution

Inactive Publication Date: 2016-08-24
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

However, the inversion problem is ill-posed, and a small noise disturbance may cause a huge change in the inversion spectrum, so it is necessary to regularize the original inversion problem
The currently widely used regularization type is L2 norm regularization. This regularization method requires a small fitting error and a relatively small L2 norm of the inversion spectrum, thus limiting the complexity of the inversion spectrum.
The disadvantage of L2 norm regularization is that it is easy to cause excessive smoothing, and it may erase a small proportion of peaks

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  • Time domain nuclear magnetic resonance spectrum inversion method
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  • Time domain nuclear magnetic resonance spectrum inversion method

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Embodiment Construction

[0033] Such as figure 1 The flow chart of the time-domain NMR spectrum inversion method is shown, including the steps: the first step is to generate the inversion kernel K, and form the L1 norm regularization problem: first, the inversion kernel is generated according to the sampling sequence and sampling parameters, and then, Add the L1 norm item to punish to form the L1 norm regularization problem; the second step, data fitting: iteratively solve the L1 norm regularization problem and obtain the inversion spectrum. The specific steps are as follows:

[0034] 1. Generate the inversion kernel K to form the L1 norm regularization problem:

[0035] After determining the sampling sequence and experimental parameters, K is determined. The experimental process of one-dimensional time-domain nuclear magnetic resonance has completed the acquisition of m in m=Ks, and one-dimensional inversion is the process of solving the time-domain spectrum s according to the sampling data m and t...

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Abstract

The invention relates to a time domain nuclear magnetic resonance spectrum inversion method. The method includes the steps of generating an inversion core and forming an L1 norm regularization problem, wherein the inversion core is generated according to a sampling sequence and sampling parameters, and an L1 norm item is added for punishment to form the L1 norm regularization problem; data fitting, wherein the L1 norm regularization problem is iteratively solved to obtain an inversion spectrum. Execution efficiency of an inversion algorithm and resolution of the spectrum are greatly improved, and the method is high in robustness.

Description

technical field [0001] The invention relates to a signal processing technology in the field of nuclear magnetic resonance, in particular to a method for time-domain nuclear magnetic resonance spectrum inversion. Background technique [0002] Time-domain spectrum is another kind of nuclear magnetic resonance spectrum relative to chemical shift spectrum. The abscissa of time-domain spectrum is usually the transverse relaxation time T2, longitudinal relaxation time T1, etc. At present, time-domain NMR analysis technology has been widely used in energy, food, agriculture and other fields. [0003] The data collected by the time-domain NMR equipment cannot be used directly, and the time-domain spectrum needs to be obtained by inverting the experimental data, so the time-domain spectrum can also be called the inversion spectrum. At present, the widely used time-domain spectra are one-dimensional spectra such as T2 spectrum and T1 spectrum. However, with the deepening of the appli...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N24/08
CPCG01N24/08
Inventor 周小龙苏冠群聂生东王丽嘉王远军张英力杨培强
Owner UNIV OF SHANGHAI FOR SCI & TECH