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Method for magnetic resonance quick imaging

A magnetic resonance and fast technology, applied in the field of image processing, which can solve the problems of poor imaging response details, sparsely represented images, and too many sampling signals.

Active Publication Date: 2013-04-17
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

[0017] The present invention provides a method for rapid magnetic resonance imaging, aiming to solve the technical problem that the existing magnetic resonance imaging method cannot ideally represent all the images sparsely, resulting in the need for many sampling signals and poor imaging response details

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  • Method for magnetic resonance quick imaging
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Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] see figure 1 , is a flow chart of the method for fast magnetic resonance imaging according to the first embodiment of the present invention. The method for magnetic resonance rapid imaging of the first embodiment of the present invention includes:

[0038] Step 100: Carry out dictionary learning on the horizontal gradient image and vertical gradient image in the image gradient domain, and establish an image model;

[0039] Among them, the introduction of the adaptive learning dictionary can overcome the block effect of the reconstructed image caused by the finite difference transformation,...

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Abstract

The invention belongs to the technical field of image processing, and particularly relates to a method for magnetic resonance quick imaging. The method for the magnetic resonance quick imaging comprises the following steps of step A, carrying out dictionary studying on a horizontal gradient image and a vertical gradient image of an image gradient domain, and establishing an image model; and step B, alternately updating the sparse expression of image blocks by a remodeling algorithm, restoring the horizontal gradient and the vertical gradient, and remodeling images on the horizontal gradient and the vertical gradient. The method for the magnetic resonance quick imaging, provided by the embodiment of the invention, has the advantages that through the introduction of the self-adaptive dictionary studying, the block effect of the target image caused by the fixed finite difference conversion is overcome, and the images with more complicated structures can be processed, so as to more precisely remodel; and after being processed, the gradient images are more sparse than the original images, so more accuracy and robustness of the dictionary studying are realized, the images can be expressed more sparsely, the fidelity is higher, and more details can be restored.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a method for fast magnetic resonance imaging. Background technique [0002] In order to shorten the acquisition time of magnetic resonance images, compressive sensing theory has been successfully applied to magnetic resonance imaging. The theory of compressed sensing utilizes the sparsity of the signal in a certain basis to achieve high-quality reconstruction of the original signal with only a small number of samples (much less than the samples required by the Nyquist sampling theory) under the incoherent sampling matrix. Moreover, if the signal is sparser in a certain basis, then the required sampling amount is less. Therefore, in compressed sensing theory, an important issue is the selection of sparse basis. In the past few years, the reconstruction of magnetic resonance images from undersampled K-space signals generally uses the following full variational model (TV ...

Claims

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Application Information

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IPC IPC(8): G06T11/00
Inventor 梁栋刘且根王圣如刘新郑海荣
Owner SHENZHEN INST OF ADVANCED TECH
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