MRI image reconstruction method

An image reconstruction and image technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of large amount of data, strong image aliasing artifacts, long sampling time, etc., achieve high quality and less execution time Effect

Active Publication Date: 2018-04-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the amount of data collected by this method is large, the sampling time is long, and the reconstructed image will produce strong aliasing artifacts

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • MRI image reconstruction method
  • MRI image reconstruction method
  • MRI image reconstruction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0033] Such asfigure 1 Shown is the scheme flowchart of the present invention, the technical scheme of the present invention is: a kind of MRI image reconstruction method, specifically comprises the following steps:

[0034] S1, using non-uniform Fourier transform to perform interpolation processing on the MRI signal;

[0035] S2, using l 1 Norm and full variation mixed regularization term to establish a compressed sensing model;

[0036] The relationship between MR signal s and MR image m can be expressed by formula (1):

[0037] s=∫ R m·e -2πik·r dr (1)

[0038] It can be seen that the signal s acquired by MR is the data representation of m in the Fourier domain of the spatial frequency domain, that is, the k-space data. It can be seen th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an MRI image reconstruction method. According to the method of the invention, transform domain sparseness and gradient domain sparseness are comprehensively considered, combined with non-uniform Fourier transform, a compressive sensing model is established, a minimum optimization solution algorithm is constructed based on an alternating direction multiplier method, and an MRI reconstructed image is obtained. Compared with a conjugate gradient method based on the backtracking line search and a rapid iterative contraction threshold method, the method of the present invention has the advantages that the reconstructed image with higher quality is obtained at each sampling rate, and an algorithm execution time is shorter.

Description

technical field [0001] The invention belongs to the field of magnetic resonance imaging, in particular to an MRI image reconstruction technology. Background technique [0002] As one of the most important advances in medical imaging in the 20th century, magnetic resonance imaging (Magnetic Resonance Imaging, MRI) has become one of the important means of clinical medical examination, providing very valuable information for clinical diagnosis. However, the imaging principle of MRI determines its long scanning time and slow imaging speed, which affect the further promotion and application of MRI. [0003] In order to increase the speed of MRI imaging, researchers have proposed a variety of accelerated sampling methods, such as parallel sampling and keyhole imaging. These acceleration technologies are all carried out under the framework of the traditional Nyquist sampling theorem, limited by the sampling frequency, the improvement of imaging speed is limited. The document "Mic...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/009G06T2207/10088
Inventor 袁太文谢永乐毕东杰
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap