Partial echo compressed sensing-based quick magnetic resonance imaging method

A technology of magnetic resonance imaging and echo compression, applied in the direction of measuring magnetic variables, measuring devices, instruments, etc., to achieve the effect of shortening echo time, shortening data acquisition time, and reducing echo time

Inactive Publication Date: 2011-02-16
HANGZHOU DIANZI UNIV
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[0007] The invention patents applied for above show that there is no pa

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  • Partial echo compressed sensing-based quick magnetic resonance imaging method
  • Partial echo compressed sensing-based quick magnetic resonance imaging method
  • Partial echo compressed sensing-based quick magnetic resonance imaging method

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[0062] The present invention will be further described below with reference to the accompanying drawings.

[0063] A fast magnetic resonance imaging method based on partial echo compressive sensing includes three steps: random variable density partial echo data acquisition, POCS reconstruction based on wavelet soft domain value denoising, and finite difference transform based on minimizing L1 norm. Nonlinear reconstruction.

[0064] Random variable density partial echo data acquisition includes two steps: generating a three-dimensional random mask and collecting data according to the three-dimensional random mask:

[0065] 1-1. Generate a 3D random mask

[0066] Generate a two-dimensional random mask in the phase encoding and layer encoding planes, specifically: collect data at high density in the central area of ​​k-space where the amount of information is concentrated, and perform random sparse acquisition around the central area to generate a two-dimensional random mask; ...

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Abstract

The invention discloses a partial echo compressed sensing-based quick magnetic resonance imaging (MRI) method. The conventional imaging method has low speed and high hardware cost. The method comprises the following steps of: acquiring echo data of a random variable density part, namely intensively acquiring data in a central area of a k-space and acquiring the data around the k-space randomly and sparsely to generate a two-dimensional random mask, adding the two-dimensional random mask into every data point which needs to be acquired on a frequency coding shaft to form a three-dimensional random mask, and acquiring the data of the k-space according to the generated three-dimensional random mask; re-establishing by projection onto convex sets based on a wavelet domain which is de-noised by soft thresholding; and nonlinearly re-establishing a minimum L1 normal number based on finite difference transformation, namely sparsely transforming an image space signal x, determining an optimization objective and solving the optimization objective. By the method of the invention, partial echo technology and compressed sensing technology are combined and applied to data acquisition of MRI, sothat echo time is shortened, and data acquisition time is shortened at the same time.

Description

technical field [0001] The invention belongs to the field of magnetic resonance image imaging, and relates to a fast magnetic resonance imaging method based on partial echo compressed sensing. Background technique [0002] Magnetic Resonance Imaging MRI (Magnetic Resonance Imaging) is a tomographic imaging technique that uses nuclear magnetic resonance signals measured in vitro to generate the physical and chemical properties of organs in the body. Because MRI has no adverse effects on the body and has the advantages of high soft tissue resolution, it has been widely used in clinical disease detection. However, the application of MRI is often limited by the long data acquisition time. [0003] MRI data acquisition is performed in k-space (frequency space). The k-space coding consists of layer coding in the kz direction, phase coding in the ky direction and frequency coding in the kx direction. Reducing the number of data acquisition points on the phase and layer coding pl...

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Application Information

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IPC IPC(8): G01R33/561
Inventor 金朝阳杜一平
Owner HANGZHOU DIANZI UNIV
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