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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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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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  • 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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Embodiment Construction

[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 I ^ = arg min I | | f - PFI | | 2 2 + ...

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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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