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Fast MRI Image Reconstruction Method Based on Tensor Product-Complex Wavelet Compact Frame

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

Active Publication Date: 2020-07-14
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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  • Fast MRI Image Reconstruction Method Based on Tensor Product-Complex Wavelet Compact Frame
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  • Fast MRI Image Reconstruction Method Based on Tensor Product-Complex Wavelet Compact 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-sampled 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 as...

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Abstract

The invention discloses a fast reconstruction method of a magnetic resonance image based on a tensor product complex wavelet tight frame, and provides a new research method for fast magnetic resonance imaging. The present invention uses the Cartesian sampling trajectory mode to under-sample the K-space data, which greatly improves the scanning speed of the equipment; based on the sparse transformation of the tensor product-complex wavelet tight frame, the image is decomposed from multiple directions, and the accuracy of magnetic resonance imaging is improved. ;Use the projection fast iterative soft threshold algorithm to solve the convex optimization problem in image reconstruction, which accelerates the speed of MRI image reconstruction; and in the projection fast iterative soft threshold algorithm, the regularization is adaptively calculated based on the bivariate shrinkage method Parameters, not only eliminates the process of blindly selecting parameters, but also improves the quality of image reconstruction.

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 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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