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A Fast Reconstruction Method for Parallel Magnetic Resonance Imaging Based on Self-Consistency

A magnetic resonance imaging and consistent technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of long reconstruction time of NLCG algorithm and poor quality of POCS reconstruction, so as to improve the convergence speed and reduce the scanning time Effect

Inactive Publication Date: 2019-07-16
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

However, the reconstruction quality of POCS is not good, and the reconstruction time of NLCG algorithm is longer

Method used

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  • A Fast Reconstruction Method for Parallel Magnetic Resonance Imaging Based on Self-Consistency
  • A Fast Reconstruction Method for Parallel Magnetic Resonance Imaging Based on Self-Consistency
  • A Fast Reconstruction Method for Parallel Magnetic Resonance Imaging Based on Self-Consistency

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Embodiment Construction

[0045] Further describe the technical scheme of the present invention in detail below in conjunction with accompanying drawing:

[0046] The present invention is an efficient reconstruction method proposed based on the SPIRiT framework.

[0047] SPIRiT is a self-calibration-based parallel imaging reconstruction method that interpolates the missing frequency points during subsampling on a coil-by-coil basis. In SPIRiT, an interpolation kernel g ijIt is obtained by calibrating the data fully sampled in the center of the frequency domain (usually called a self-calibration signal). if x i represents the entire frequency-domain data of the i-th coil, then the calibration-based consistency criterion can be written as:

[0048]

[0049] In the formula, C represents the number of coils, and "*" represents the convolution operation. Convolution kernel g ij Known as the SPIRiT core.

[0050] The consistency criterion for all coils can be simplified into a matrix form:

[0051]...

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Abstract

The invention discloses a fast reconstruction method of parallel magnetic resonance imaging based on self-consistency. Based on the SPIRiT framework, the invention proposes a Cartesian sampling fast reconstruction algorithm for the reconstruction problem of parallel imaging containing JTV and JL1 compound regular terms. Solving the Prior Art Although the parallel magnetic resonance imaging technology can significantly reduce the scan time, the existing reconstruction algorithm takes a long time to reconstruct. This method uses the split Bregman technique (split Bregman) to decompose the original problem into multiple sub-problems that are easy to solve. The experimental simulation results show that, compared with the existing NLCG algorithm, the new algorithm can greatly improve the convergence speed while ensuring the reconstruction quality.

Description

technical field [0001] The invention relates to a fast reconstruction method of parallel magnetic resonance imaging based on self-consistency. Background technique [0002] Magnetic resonance imaging (Magnetic Resonance Imaging, MRI) can provide good human soft tissue contrast, and has no radiation, so it has gradually become an indispensable imaging tool in modern clinical medicine. However, limited by physical and physiological factors, the acquisition speed of MRI signals is very slow. Parallel imaging is a common technique to increase acquisition speed. The introduction of SMASH and SENSE marks that parallel imaging has become a feasible technology. Parallel imaging uses multiple coils with different sensitivities to the magnetic resonance signal to simultaneously acquire magnetic resonance signals. The use of sensitivity information reduces the number of data used for reconstruction, thereby increasing the speed of acquisition. [0003] In the past ten years, many p...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 段继忠罗仁泽苏赋邓魁郑勉曹玉英汪敏
Owner SOUTHWEST PETROLEUM UNIV
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