Method and system for dynamic magnetic resonance imaging

A technology of magnetic resonance image and imaging method, which is applied in medical science, sensor, diagnostic recording/measurement, etc., can solve the problems of difficult clinical application of magnetic resonance imaging, inability to accurately calculate highly undersampled image signals, and low robustness.

Active Publication Date: 2014-12-31
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0004] Although the partially separable function algorithm and compressed sensing theory can prove that MRI can achieve high-quality image reconstruction under the condition of sparse sampling, and break through the limitation of Nyquist sampling theorem in theory, there are still some problems in the clinical application of MRI. certain difficulty
Because the two sparse imaging models have different emphases,

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  • Method and system for dynamic magnetic resonance imaging
  • Method and system for dynamic magnetic resonance imaging
  • Method and system for dynamic magnetic resonance imaging

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Embodiment Construction

[0094] Based on the dynamic magnetic resonance imaging technology, the present invention improves the existing partially separable function model, uses the principle of low-rank matrix recovery to separate the magnetic resonance signal into limited time and space basis functions, and combines the time basis function and For the measured dynamic image data, the L1 norm is used to restrict the spatial basis function to avoid excessively smooth images like the TV (total variation) operator, so as to avoid the trade-off relationship between time and space resolution in magnetic resonance imaging, and avoid In the traditional method, the correlation of K space and time is used to improve the estimation of missing data, and the problem of inaccurate fitting of lost and uncollected data can also be reduced. It can also reduce the influence of noise on the image, reduce image artifacts and reconstruction noise, Greatly improved image quality. Various specific implementations of the pr...

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Abstract

The invention discloses a method and system for dynamic magnetic resonance imaging. A norm sparsity constraint is carried out on a spatial basis on the basis of a conventional PS (Partial Separability) method, so that image artifact and reconstruction noise are more effectively reduced, the image quality is greatly improved, and the reconstruction of a high temporal-spatial resolution dynamic magnetic resonance image is effectively realized. The method comprises the following steps: acquiring K-t spatial navigation data and dynamic image data, which are collected in a sampling mode based on a partial separability method; constructing a dynamic imaging reconstruction model containing a spatial basis function and a temporal basis function based on the partial separability method; acquiring the temporal basis function according to the navigation data; based on the dynamic imaging reconstruction model, estimating the spatial basis function by a least square method according to the temporal basis function and the dynamic image data; utilizing the temporal basis function and the dynamic image data to carry out interpolation recovery on the k spatial dynamic image data, and then carrying out Fourier transformation so as to acquire a reconstructed dynamic magnetic resonance image.

Description

technical field [0001] The present invention relates to dynamic magnetic resonance imaging technology, in particular to a dynamic magnetic resonance imaging method and system. Background technique [0002] The radiation-free, high soft-tissue contrast and multi-plane imaging based on magnetic resonance imaging make it one of the most popular clinical diagnostic tools. However, due to the limitations of Nyquist sampling theory (ie, Nyquist sampling theorem) and hardware systems, when acquiring dynamic MRI signals, only a limited part of K-space signals can often be acquired. For example, heart imaging, dynamic contrast-enhanced liver imaging, blood flow imaging, etc., when these limited collected data are directly used for Fourier reconstruction, large motion artifacts will be generated, so it is necessary to use dynamic magnetic resonance data in the The low-rank and sparse characteristics in the time dimension are restricted to recover unacquired data to achieve high-resol...

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Application Information

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IPC IPC(8): A61B5/055
Inventor 史彩云谢国喜张丽娟张晓勇刘新郑海荣
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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