A Compressed Sampling MRI Image Reconstruction Method Based on Curvelet-Fista

A magnetic resonance image, compression sampling technology, applied in image data processing, 2D image generation, instruments, etc., can solve the problems of poor direction selectivity of wavelet transform, poor detail reconstruction effect, etc., achieve fast convergence speed, high sparse representation performance, good reconstruction effect

Active Publication Date: 2022-04-26
NANJING MEDICAL UNIV
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Problems solved by technology

[0027] In order to solve the problem of compressive sensing MRI image reconstruction, overcome the disadvantages of poor wavelet transform direction selectivity and poor detail reconstruction effect existing in the current compressive sensing algorithm [16] , the present invention provides a compression sampling MRI image reconstruction method based on curvelet-fista, the present invention integrates the Curvelet transform into the fast iterative shrinkage threshold algorithm, and the fast iterative shrinkage threshold algorithm [8] (Fast Iterative Shrinkage-Thresholding Algorithm, FISTA) has a better recovery effect

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  • A Compressed Sampling MRI Image Reconstruction Method Based on Curvelet-Fista
  • A Compressed Sampling MRI Image Reconstruction Method Based on Curvelet-Fista
  • A Compressed Sampling MRI Image Reconstruction Method Based on Curvelet-Fista

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[0108] Below in conjunction with accompanying drawing and embodiment of description, specific embodiment of the present invention is described in further detail:

[0109] Such as Figure 1 to Figure 7 , a compression sampling magnetic resonance image reconstruction method based on curvelet-fista, which uses Curvelet transform combined with a fast iterative shrinkage threshold algorithm to realize image reconstruction; the Curvelet-based fast iterative shrinkage threshold algorithm includes the following steps:

[0110] Step (1) Initialization: Given the iteration stop threshold ε, the image block observation matrix Φ, and the image observation matrix Y, set the iteration counter, Curvelet transform adaptive threshold shrinkage operator and k=1, t=0, λ respectively =λ 0 , μ=0.9;

[0111] Step (2) Curvelet sparse transformation:

[0112] Θ k+1 =C(X k+1 )

[0113] (5-1)

[0114] Among them, C is Curvelet sparse transformation;

[0115] Step (3) Perform fast iterative shri...

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Abstract

A kind of compressed sampling magnetic resonance image reconstruction method based on curvelet-fista, it is characterized in that comprising the steps: step (1) initialization: step (2) Curvelet sparse transformation: step (3) carries out rapid iterative shrinkage threshold processing to image, utilizes Fast Iterative Shrinkage Threshold Algorithm to Compute Coefficient Matrix Θ k . The invention proposes a Curvelet transformation-based MR image compression sensing reconstruction method, which uses the superior characteristics of the Curvelet sparse representation to express the smooth part and the edge part of the image. The large coefficient corresponding to the edge can have a good energy concentration effect, and the fast iterative shrinkage threshold is used to truncate, so that the reconstruction effect of the edge and details is improved during the reconstruction process, and the overall reconstruction quality of the image is also improved.

Description

technical field [0001] The invention relates to a compression sampling magnetic resonance image reconstruction method based on curvelet-fista. Background technique [0002] With the advancement of hardware and software technology, magnetic resonance imaging [1] (Magnetic resonance imaging, MRI) is increasingly widely used in clinical practice, compared with computed tomography [2] The advantage of (Computed Tomography, CT) technology is that it has no harm to the human body such as ionizing radiation, and it can image various soft tissues of the human body. The slow data scanning speed has always been the key problem restricting its further development, and there are many other problems caused by it. Therefore, the reasonable use of fast acquisition technology can not only shorten the examination time of MRI, but also improve the examination quality. [0003] compressed sensing [3] (Compressed Sensing, CS) theory, as an emerging theory in the field of signal acquisition ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00
CPCG06T11/003
Inventor 王伟王翰林周宇轩
Owner NANJING MEDICAL UNIV
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