Magnetic resonance imaging method, device, storage medium and medical equipment

Abstract

The present application provides a magnetic resonance imaging method, device, storage medium and medical equipment to improve imaging quality. The magnetic resonance imaging method includes: obtaining a sampling point set; wherein, the sampling point set includes a preset number of sampling points in a Cartesian coordinate system in a phase encoding plane arranged according to a random time sequence; The set sampling trajectory for acquiring the magnetic resonance signal generates a spatial encoding gradient; based on the spatial encoding gradient, in each repetition time, the original navigation data and the The imaging data in the Karl coordinate system and located in the outer periphery of the K-space are jointly collected; the original navigation data is converted into the converted navigation data in the Cartesian coordinate system; compressed sensing reconstruction is performed on the converted navigation data and the imaging data, Three-dimensional dynamic magnetic resonance images were obtained.

Description

technical field [0001] The present application relates to the technical field of magnetic resonance imaging, in particular to a magnetic resonance imaging method, device, storage medium and medical equipment. Background technique [0002] Magnetic resonance imaging (MRI) uses the principle of magnetic resonance imaging to enable people to obtain detailed diagnostic images of living organs and tissues without damage. However, the disadvantage of MRI is that the imaging speed is slow, and the compressed sensing (CS) method samples far below the Nyquist frequency, so it can greatly improve the imaging speed, and has attracted extensive attention from researchers in recent years. [0003] At present, MRI methods based on compressed sensing are mainly divided into two categories according to the coordinate system of the sampling trajectory: methods based on Cartesian coordinate system (such as k-t SPARSE-SENSE method, PS-Sparse method) and methods based on non-Cartesian coordinat...

AI Technical Summary

Problems solved by technology

However, the disadvantage of MRI is that the imaging speed is slow, and the compressed sensing (CS) method samples far below the Nyquist frequency, so it can greatly improve the imaging speed, and has received extensive attention from researchers in recent years.

[0003] At present, MRI methods based on compressed sensing are mainly divided into two categories according to the coordinate system of the sampling trajectory: methods based on Cartesian coordinate system (such as k-t SPARSE-SENSE method, PS-Sparse method) and methods based on non-Cartesian coordinate system The method based on the Cartesian coordinate system (such as the iGRASP method), and the method based on the Cartesian coordinate system is susceptible to motion artifacts due to the time difference between the acquisition of the data in the central area of ​​K-space and the data in the outer periphery of K-space. Although the method of the coordinate system is not sensitive to motion, the streak artifacts in the image are difficult to eliminate. It can be seen that the imaging quality of the magnetic resonance imaging method based on compressed sensing in related technologies is not high

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