A magnetic-resonance fast imaging method and system based on iterative feature correction

An imaging method and magnetic resonance technology, which can be used in the generation of 2D images, image data processing, instruments, etc., and can solve the problem of loss of details and features of reconstructed images.

Active Publication Date: 2014-12-17
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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[0006] Based on this, it is necessary to provide a fast magnetic resonance imaging method and system based on iterative feature correction to solve th

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  • A magnetic-resonance fast imaging method and system based on iterative feature correction
  • A magnetic-resonance fast imaging method and system based on iterative feature correction
  • A magnetic-resonance fast imaging method and system based on iterative feature correction

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[0057] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

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

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

[0060] Step S101: The compressed sensing magnetic resonance fast imaging model based on sparse constraints I ^ = arg min I | | f - PFI | | 2 2 + λ | | I | | L 1 , Simplified to an iterative optimization problem.

[0061] Specifically: Compressed sensing MRI fast imaging model for sparse constraints

[0062] I ^ = arg min I | | f - ...

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Abstract

he invention provides a magnetic-resonance fast imaging method and system based on iterative feature correction. The magnetic-resonance fast imaging method based on iterative feature correction comprises: reconstructing undersampled data obtained from K space to obtain an initial reconstruction image; executing sparse constraint-based denoising processing on the initial reconstruction image to obtain a noise pattern; executing feature correction on the noise pattern to obtain a correction image containing detail features; and optimizing the correction image by means of Tikhonov regular method to obtain a final reconstruction image. According to the invention, through executing the feature correction on the initial reconstruction image, the correction image containing detail features is obtained, and then through optimizing the correction image, the final reconstruction image is obtained. The method adopting the invention is easier to obtain the detail features, solves effectively the problem that the detail features of the construction image are easy to lose, and effectively improves quality of the reconstruction image and shortens reconstruction time through a 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] I ^ = arg min ...

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Application Information

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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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