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Parallel magnetic resonance imaging high quality reconstruction method based on self-consistency and containing combined total variation

A technology that combines total variation and magnetic resonance imaging, which can be used in image enhancement, image data processing, instrumentation, etc., and can solve problems such as difficulty in coil sensitivity.

Active Publication Date: 2015-12-23
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

However, it is often very difficult to accurately estimate the sensitivity of the coil

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  • Parallel magnetic resonance imaging high quality reconstruction method based on self-consistency and containing combined total variation
  • Parallel magnetic resonance imaging high quality reconstruction method based on self-consistency and containing combined total variation
  • Parallel magnetic resonance imaging high quality reconstruction method based on self-consistency and containing combined total variation

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Embodiment Construction

[0060] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings:

[0061] The invention is an efficient reconstruction method proposed based on the SPITiT framework.

[0062] SPIRiT is a parallel imaging reconstruction method based on self-calibration. This method interpolates the missing frequency points during sub-sampling coil by coil, and then merges the multiple coil images into one image. In SPIRiT, an interpolating kernel g ij It is obtained by calibrating the data fully sampled in the center of the frequency domain (usually called the self-calibration signal). If x i Representing the entire frequency domain data of the i-th coil, the consistency criterion based on calibration can be written as:

[0063] x i = X j = 1 N g i j * x j ; - - - ( 1 )

[0064] Where N c Represents the number of coils, "*" represents convolution operation. Convo...

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Abstract

The invention discloses a parallel magnetic resonance imaging high quality reconstruction method based on self-consistency and containing combined total variation; the method is based on a SPIRiT frame, and provides the high quality reconstruction method aiming at parallel imaging reconstruction problems containing JTV and JL1 composite regular terms; firstly a constraint reconstruction problem is converted into an unconstrained reconstruction problem; then a data fidelity term and a self-correction term are simplified; then the operator split technology converts the simplified reconstruction problem into a gradient calculating problem and a denoising problem containing the JTV and JL1 composite regular terms, and the composite regular terms denoising problem is solved through a whole novel design algorithm based on Split Bregman technology; finally FISTA can accelerate the speed. The reconstruction performances of the novel algorithm and other normal algorithms are compared; test simulation shows that the convergence speed of the novel algorithm is close to a POCS algorithm, yet reconstruction image SNR can be largely improved.

Description

Technical field [0001] The invention relates to a high-quality reconstruction method of parallel magnetic resonance imaging with joint total variation based on self-consistency. Background technique [0002] Magnetic resonance imaging (Magnetic Resonance Imaging, MRI) can provide good human soft tissue contrast and has no radioactivity, so it has gradually become an indispensable imaging tool in modern clinical medicine. However, limited by physical and physiological factors, the speed of acquiring magnetic resonance signals is very slow. Parallel imaging is a common technique to increase acquisition speed. The proposal of SMASH and SENSE marks that parallel imaging has become a practical technology. Parallel imaging uses multiple coils with different sensitivity to magnetic resonance signals to simultaneously acquire magnetic resonance signals. The use of sensitivity information reduces the number of data used for reconstruction, thereby increasing the speed of collection. [...

Claims

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Application Information

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