Three-regular-term magnetic resonance image reconstruction method based on compressed sensing theory

A magnetic resonance image and compressed sensing technology, which is applied in the field of medical imaging detection and medical magnetic resonance imaging, can solve problems such as limitations

Inactive Publication Date: 2014-11-12
SHANDONG UNIV
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Problems solved by technology

[0004] Traditional fast MRI methods are all limited by Nyquist's theorem

Method used

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  • Three-regular-term magnetic resonance image reconstruction method based on compressed sensing theory
  • Three-regular-term magnetic resonance image reconstruction method based on compressed sensing theory
  • Three-regular-term magnetic resonance image reconstruction method based on compressed sensing theory

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Embodiment Construction

[0030] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] (1) Measured value obtained from the following form,

[0032]

[0033] in Gaussian white noise, its standard deviation =0.001, is the partial Fourier transform, is the original image information.

[0034] (2) and As the known input data, considering both image sparseness and image smoothness, the following compound regularization objective function is established, as shown in formula (1).

[0035] (3) Regular parameters are determined. For a fair comparison of the algorithms, set the parameter value of the regular term as: =0.001, =0.035 and =0.2 .

[0036] (4) Use soft threshold function to solve formula (3) about subproblem of , and use the SALSA method to solve the formula (7) about The subproblem of , the obtained solution is the reconstructed MRI image information.

[0037] figure 1 a...

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Abstract

The problem that magnetic resonance imaging simultaneously considering linear combination of three regular terms including a TV norm, an L1 norm and a linear combination tress structure is very difficult to solve. For solving the same complicated problems, the invention discloses an effective method. Firstly, the problem of original stacking difficulty is converted into the non-stacking problem, and secondly, a direction alternation method and an existing iteration technology are utilized to perform solution. A large number of experiments prove that the method has good reconstruction effect.

Description

technical field [0001] The present invention relates to the technical field of medical imaging detection, in particular to the technical field of medical magnetic resonance imaging, and specifically refers to a magnetic resonance image reconstruction method based on three regular terms of compressed sensing theory. Background technique [0002] Magnetic resonance imaging not only has the advantages of no radiation damage to the human body, no need for contrast agents, multi-parameter control, etc., but also can clearly describe the changes of human soft tissue structure, so it is widely used in clinical medical diagnosis. Today, the ever-improving theory of compressed sensing shows that MRI images can be accurately reconstructed from K-space undersampled data, thereby reducing scan time. [0003] There are two main factors affecting the speed of MRI: (1) raw data acquisition speed; (2) k-t space data acquisition quantity. Researchers have increased raw data acquisition spee...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 董恩清郑清彬杨佩刘伟贾大宇孙华魁
Owner SHANDONG UNIV
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