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Magnetic resonance fast imaging method and system based on iterative feature correction

An imaging method and magnetic resonance technology, which are applied in 2D image generation, image data processing, instruments, etc., can solve the problem of loss of details and features of reconstructed images, and achieve the effect of solving easy loss, improving quality and shortening reconstruction time.

Active Publication Date: 2017-11-03
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0006] Based on this, it is necessary to provide a fast magnetic resonance imaging method and system based on iterative feature correction to solve the problem of loss of detail features in the reconstructed image obtained by the traditional compressive sensing fast magnetic resonance imaging method

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  • Magnetic resonance fast imaging method and system based on iterative feature correction
  • Magnetic resonance fast imaging method and system based on iterative feature correction
  • Magnetic resonance fast imaging method and system based on iterative feature correction

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[0057] 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.

[0058] as attached figure 1 And attached figure 2 Shown:

[0059] The fast magnetic resonance imaging method based on iterative feature correction includes the following steps:

[0060] Step S101: the sparse constraint-based compressed sensing magnetic resonance fast imaging model Simplifies to an iterative optimization problem.

[0061] Specifically: Compressed Sensing Magnetic Resonance Fast Imaging Model for Sparse Constraints

[0062]

[0063] Introduce the auxiliary variable u=I to get an optimization problem with constraints:

[0064]

[0065] s.t.u=I

[0066] The optimization p...

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Abstract

The present invention provides a method and system for rapid magnetic resonance imaging based on iterative feature correction. The method includes: reconstructing the obtained under-sampled data f of K space to obtain an initial reconstructed image; The noise image is obtained by noise processing; the feature correction is performed on the noise image to obtain a corrected image containing detailed features; the corrected image is optimized by using the Tikhonov regular method to obtain the final reconstructed image. The present invention corrects the features of the initial reconstructed image to obtain the corrected image including detailed features, and then optimizes the corrected image to obtain the final reconstructed image. The method of the present invention is relatively easy to obtain detail features, effectively solving the problem that the detail features of the reconstructed image are easily lost, and effectively improving the quality of the reconstructed image and shortening the reconstruction time through the detail feature correction technology.

Description

technical field [0001] The invention relates to the field of magnetic resonance imaging, in particular to a fast magnetic resonance imaging method and system based on iterative feature correction. 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. Compressed sensing theory uses the sparsity of data under a certain basis to realize a method to reconstruct data with high quality by collecting a small amount of signals in an incoherent sampling matrix, and the more sparse the data is under a certain basis, the more samples need to be sampled The amount can be less. Traditional compressive sensing MRI mainly uses the sparsity of the image in a fixed transformation domain to reconstruct the image, the formula is as follows: [0003] [0004] in is the final reconstructed image, I is the image in the reconstruction process, f is the sampl...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00
Inventor 梁栋刘建博王珊珊刘新郑海荣
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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