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Compressed sensing magnetic resonance imaging reconstruction method

A magnetic resonance imaging and compressed sensing technology, which is applied in the field of image processing and can solve problems such as underutilization of the performance of MR image reconstruction algorithms.

Active Publication Date: 2014-11-19
XIAMEN UNIV
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Problems solved by technology

However, these methods do not make full use of non-local and low-rank prior knowledge to improve the performance of MR image reconstruction algorithms.

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  • Compressed sensing magnetic resonance imaging reconstruction method
  • Compressed sensing magnetic resonance imaging reconstruction method
  • Compressed sensing magnetic resonance imaging reconstruction method

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Embodiment Construction

[0059] The present invention is based on the compression sensing MRI image reconstruction method of non-local, low-rank prior model, and its realization steps are as follows:

[0060] Step 1. Initialize the input MRI original K-space observation data y, and perform inverse Fourier transform to obtain the initial image x0 after zero-filling and reconstruction.

[0061] Step 2, create a similar block matrix of the initialized image x0, and generate a similar block matrix index set G index

[0062] (2a) Take the initialized image x0 with a step size of 1 to obtain a set of all image blocks Label the corresponding position of each image block in the initialization image

[0063] (2b) Taking pixel i as the center, take image block a i As a reference block, find M similar blocks similar to it in the adjacent area centered on point i Create similar block matrix A i , A i =[a i,1 ,a i,2 ,...,a i,M ],in, Indicates the location index of M similar blocks (g i,j Represents...

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Abstract

A compressed sensing magnetic resonance imaging reconstruction method relates to image processing. Provided is a compressed sensing magnetic resonance imaging reconstruction method which can improve the subjective visual effect of reconstructed images. The method comprises the following steps: a target function of MRI image reconstruction is constructed under a low-rank matrix formed based on non-local similar blocks; the problem of optimization solution of the target function is transformed into the problem of low-rank matrix de-noising and target function reconstruction solution by a variable replacing method according to the constructed target function; for the problem of low-rank matrix de-noising, the clustered low-rank matrix is decomposed by a singular value decomposition method, and soft threshold processing is carried out on feature values obtained through decomposition to obtain a de-noised low-rank matrix; and the obtained low-rank matrix is substituted into the target function, and a final reconstructed MR image is obtained by a least square algorithm after approximate optimization.

Description

technical field [0001] The invention relates to image processing, in particular to a reconstruction method of compressed sensing magnetic resonance imaging. Background technique [0002] Magnetic resonance imaging (MRI) uses the principle of magnetic resonance imaging to enable people to obtain detailed diagnostic images of living organs and tissues without damage, avoiding unnecessary surgical pain and secondary losses and complications caused by exploratory surgery . Because it can provide doctors with clear, fine, high-resolution, high-contrast, and informative medical images of human body structure, it has been widely used in clinical practice and has become an indispensable inspection method for some disease diagnoses. [0003] However, the disadvantage of MRI is that the imaging speed is slow, and people must remain still during the imaging process. Even a slight movement will cause imaging artifacts and affect clinical diagnosis. The emergence of Compressed Sensing ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06T5/00
Inventor 陈金楚丁兴号林溱廖英豪
Owner XIAMEN UNIV
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