Low-rank structure-based sparse compressive sensing MRI (Magnetic Resonance Imaging) image reconstruction method

A technology of compressed sensing and image reconstruction, applied in the field of medical image processing

Inactive Publication Date: 2013-11-20
XIDIAN UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies of the existing CS-MRI reconstruction methods, and propose a low-ran

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  • Low-rank structure-based sparse compressive sensing MRI (Magnetic Resonance Imaging) image reconstruction method
  • Low-rank structure-based sparse compressive sensing MRI (Magnetic Resonance Imaging) image reconstruction method
  • Low-rank structure-based sparse compressive sensing MRI (Magnetic Resonance Imaging) image reconstruction method

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Embodiment Construction

[0038] refer to figure 1 , the present invention is based on the low-rank structural sparse compressive sensing MRI image reconstruction method, and its implementation steps are as follows:

[0039] Step 1: Perform traditional compressed sensing initial restoration on the input magnetic resonance MRI original K-space observation data y, and obtain the initial restored image x (1) .

[0040](1a) Set the traditional compressed sensing recovery threshold Q>0, and perform initial threshold calculation on the input magnetic resonance MRI original K-space observation data y, and obtain the initial threshold calculation result

[0041] f i 1 = y i , y i > Q ...

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Abstract

The invention discloses a low-rank structure-based sparse compressive sensing MRI (Magnetic Resonance Imaging) image reconstruction method, which mainly solves the problem of difficulty in accurate recovery of an MRI image existing in the conventional technology. The method comprises the following implementation steps: initially recovering the MRI image by using the conventional compressive sensing and looking for a similar block matrix from the image to form an index set; performing singular value decomposition on the similar block matrix and calculating a threshold, and performing threshold calculation on a singular value by using the threshold to obtain an after-threshold singular value; and optimizing the MRI image by using the after-threshold singular value, i.e., circularly performing processes of updating of the similar block matrix and the index thereof, similar block matrix singular value decomposition and threshold and singular value threshold calculation on the MRI image to obtain a final recovery image. The recovered MRI image is clearer and has sharper edges; and the method can be used for processing a medical image.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to an MRI image reconstruction method, which is mainly used for clear and rapid recovery of medical images. Background technique [0002] Magnetic resonance imaging (MRI) is widely used in the medical field because of its low damage and high diagnostic significance. Magnetic resonance MRI is based on the principle of magnetic resonance. The basic physical concepts involved in magnetic resonance mainly include: the spin and magnetic moment of atoms, the energy state of spin magnetic moment in an external magnetic field, the conditions for generating magnetic resonance, Larmor precession, magnetization vector, and the effect of radio frequency field on magnetization Vector and relaxation processes. [0003] Traditional magnetic resonance imaging MRI needs to densely sample the original data K-space according to the Nyquist sampling theorem, and then reconstruct the m...

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Application Information

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IPC IPC(8): G06T11/00A61B5/055
Inventor 董伟生石光明王春美
Owner XIDIAN UNIV
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