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Method for rapidly reconstructing magnetic resonance imaging based on tensor product complex wavelet tight frame

A magnetic resonance image and complex wavelet technology, applied in the direction of measuring magnetic variables, measuring devices, diagnostic recording/measurement, etc., can solve the problems of limited application, inability to provide basis to sparsely represent signals, and spending a lot of time, so as to improve reconstruction The effect of improving quality, improving accuracy, and increasing scanning speed

Active Publication Date: 2019-01-11
ZHEJIANG SCI-TECH UNIV
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Problems solved by technology

However, these algorithms either cannot provide an accurate basis to sparsely represent the signal, or take a lot of time to solve convex optimization problems, thus limiting the application of compressed sensing-based MRI fast imaging

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  • Method for rapidly reconstructing magnetic resonance imaging based on tensor product complex wavelet tight frame
  • Method for rapidly reconstructing magnetic resonance imaging based on tensor product complex wavelet tight frame
  • Method for rapidly reconstructing magnetic resonance imaging based on tensor product complex wavelet tight frame

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Embodiment Construction

[0035] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0036] Such as figure 1 As shown, the present invention is based on the tensor product complex wavelet tight framework magnetic resonance image fast reconstruction method, the specific steps are as follows:

[0037] 1. Based on figure 2 The shown Cartesian sampling trajectory performs under-sampling on the magnetic resonance K-space data to obtain K-space under-sampling data, in which the white pixel value is 1, indicating a sampling point; the black pixel value is 0, indicating a non-sampling point.

[0038] 2. Carry out zero padding on the K-space undersampling data (set the non-sampling point value to 0), and then obtain the initial magnetic resonance image through inverse Fourier transform.

[0039] 3. The initial magnetic resonance image is used a...

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Abstract

The invention discloses a method for rapidly reconstructing a magnetic resonance imaging based on a tensor product complex wavelet tight frame, and provides a new research method for rapid magnetic resonance imaging. According to the method for rapidly reconstructing the magnetic resonance imaging based on the tensor product complex wavelet tight frame, the K-space data is undersampled by using the Cartesian sampling trajectory mode, so that the scanning speed of a device is greatly improved; the imaging is decomposed from multiple directions based on the sparse transformation of the tensor product complex wavelet tight frame, so that the accuracy of magnetic resonance imaging is improved; the convex optimization problem in imaging reconstruction is solved by using the projection fast iterative soft threshold algorithm, so that the speed of magnetic resonance imaging reconstruction is accelerated; and a regularization parameter is adaptively calculated based on the bivariate contraction method in the projection fast iterative soft threshold algorithm, thus not only the process for blindly selecting parameters is omitted, but also the quality of imaging reconstruction is improved.

Description

technical field [0001] The invention belongs to the technical field of magnetic resonance imaging, and in particular relates to a fast reconstruction method of a magnetic resonance image based on a tensor product complex wavelet tight frame. Background technique [0002] Magnetic Resonance Imaging (MRI) has the characteristics of no ionizing radiation, multi-angle imaging, and no damage to human tissue, so it has become a very important detection method in medical clinics and medical research; but the disadvantage of MRI is that imaging The speed is slow, and the time resolution of dynamic MRI is low; at the same time, the scanning time of a single patient is long and the cost is high, which limits the further promotion of MRI. In order to speed up the scanning speed and improve the scanning efficiency, parallel imaging (Parallel Imaging, PI) technology and compressed sensing theory have become research hotspots in recent years. [0003] Parallel magnetic resonance imaging ...

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Application Information

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IPC IPC(8): G01R33/561A61B5/055
CPCA61B5/055G01R33/5611
Inventor 蒋明峰陆亮沈益吴龙
Owner ZHEJIANG SCI-TECH UNIV
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