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Parallel magnetic resonance image reconstruction method based on regularization iteration

A magnetic resonance image, iterative technology, applied in the direction of measuring magnetic variables, measuring devices, instruments, etc., can solve the problems of reduced signal-to-noise ratio of reconstructed images, reduced number of samples, reduced signal-to-noise ratio, etc., to improve the performance of reconstructed images, suppress Effect of Noise Interference on Magnetic Resonance Images and Improvement of Reconstructed Image Performance

Inactive Publication Date: 2015-11-04
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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Problems solved by technology

The main problem of parallel imaging technology is the reduction of its signal-to-noise ratio, which comes from the reduction of sampling number on the one hand; on the other hand, it comes from the ill-conditioned nature of the system matrix, which makes the noise amplified during the inversion process and the signal-to-noise ratio of the reconstructed image decreases , the quality is not ideal

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  • Parallel magnetic resonance image reconstruction method based on regularization iteration
  • Parallel magnetic resonance image reconstruction method based on regularization iteration
  • Parallel magnetic resonance image reconstruction method based on regularization iteration

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[0043] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0044] In order to achieve the objective of the present invention, in some embodiments of a parallel magnetic resonance image reconstruction method based on regularization iteration,

[0045] Such as figure 1 As shown, the parallel magnetic resonance image reconstruction method based on regularization iteration includes the following steps:

[0046] 1. Perform analog sampling on the full K-space data, obtain the self-calibrated ACS line data and under-sampled K-space data of the multi-channel parallel coil K-space center, and calculate the spatial sensitivity distribution of each coil and the aliased image of each coil respectively;

[0047] 2. In the calculation process of unfolding the coil alias image, combined with the theory of least squares method, the reconstructed image is described by the equation based on the image domain method, the regu...

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Abstract

The invention discloses a parallel magnetic resonance image reconstruction method based on regularization iteration. The method comprises the following steps: firstly, all K spatial data are subjected to simulation sampling, multi-channel parallel coil K spatial center self-calibration ACS row data and undersampled K spatial data are obtained, and spatial sensitivity distribution of each coil and an aliasing image of each coil are calculated respectively; secondly, a reconstruction image is subjected to equation description combined with a least square method theory, based on image domain method during the calculation process of the aliasing images, a regularization method is introduced, an optimal regularization parameter is calculated and obtained by utilization of an L-curve method, and a matrix equation after regularization is obtained; thirdly, the matrix equation after regularization is subjected to iteration reconstruction by utilization of a conjugate gradient iterative method, and a reconstruction image of each coil is obtained. The method can reduce interference of noise to a reconstruction result further, and has characteristics of high signal to noise ratio, few errors, good imaging effects and the like.

Description

Technical field [0001] The invention relates to magnetic resonance imaging technology, in particular to a parallel magnetic resonance image reconstruction method based on regularization iteration. Background technique [0002] Magnetic resonance imaging (MRI) has been widely used in clinical practice due to its advantages of non-radiation, high resolution, multiple orientations and multiple parameters. The main shortcomings of traditional magnetic resonance imaging can be attributed to two points: one is that it takes a long time to scan, the movement of the patient produces artifacts, which affects clinical diagnosis, and is not suitable for patients with special conditions; the other is that it is not suitable for patients with special conditions, such as the heart and abdominal cavity. It is difficult to image moving organs. [0003] Parallel Magnetic Resonance Imaging (pMRI) technology is a major technological breakthrough. It collects magnetic resonance signals through multip...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R33/561
Inventor 陈蓝钰常严王雷杨晓冬
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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