Image processing method based on sparse sampling magnetic resonance imaging

A technology of nuclear magnetic resonance imaging and image processing, which is applied in the direction of using nuclear magnetic resonance imaging system for measurement, magnetic resonance measurement, and magnetic variable measurement, and can solve problems such as inability to meet subsequent processing.

Active Publication Date: 2013-04-24
SHANGHAI UNITED IMAGING HEALTHCARE
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However, fast magnetic resonance imaging methods based on sparse sampling theory are all implemented using non-phenomenal constrained reconstruction methods, which can

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  • Image processing method based on sparse sampling magnetic resonance imaging
  • Image processing method based on sparse sampling magnetic resonance imaging
  • Image processing method based on sparse sampling magnetic resonance imaging

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[0041] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the associated drawings. Preferred embodiments of the invention are shown in the accompanying drawings. However, the present invention can be embodied in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0042] Such as figure 1 As shown, the embodiment of the present invention provides an image processing method for nuclear magnetic resonance imaging based on sparse sampling, which mainly includes the following steps:

[0043] The first step is to use multiple phase-controlled coils to simultaneously collect data in the central area of ​​K-space with high density, randomly down-sample K-space data around the central area of ​​K-space with Gaussian distr...

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Abstract

The invention provides an image processing method based on sparse sampling magnetic resonance imaging. Multiple phase-control coils are utilized, simultaneously data in an K space central area is collected in a high-density mode, Gaussian distribution is utilized to conduct random downsampling K space data of the periphery of the K space central area, the K space data which is collected by each coil conducts Fourier transform and is transformed into an image space, according to sensitive information of each coil, signals of the image space conduct linear fitting, a reconstructed spinning density image p is formed, and a frequency domain signal after postero-medial rotatory instability (PMRI) downsampling is utilized to obtain a reference image. Therefore, information which is based on local noise variance conducts ration and calculating for a regular bound term to achieve precise image reconstruction.

Description

【Technical field】 [0001] The invention relates to an image processing method of nuclear magnetic resonance imaging based on sparse sampling. 【Background technique】 [0002] Magnetic resonance imaging (MRI) uses hydrogen nuclei (protons) in human tissue to be excited by radio frequency pulses in a magnetic field to generate nuclear magnetic resonance, generate magnetic resonance signals, and reconstruct an image of a certain level of the human body through computer processing. . However, this imaging technology is based on conditions such as theory and hardware, making its imaging speed relatively slower than other imaging methods, and the image reconstructed for dynamic objects is relatively blurred. Therefore, in order to accelerate the sampling speed of MRI, many researchers proposed to realize fast MRI based on sparse sampling theory. However, fast magnetic resonance imaging methods based on sparse sampling theory are all implemented by non-phenomenal constrained recons...

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Application Information

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IPC IPC(8): G01R33/56
Inventor 谢国喜张晓咏史彩云冯翔刘新郑海荣
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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