Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Magnetic resonance image reconstruction method and device based on compressed sensing

A technology of magnetic resonance image and image reconstruction, which is applied in the direction of using nuclear magnetic resonance imaging system for measurement, magnetic resonance measurement, magnetic variable measurement, etc., can solve information loss, affect the accuracy of magnetic resonance image reconstruction results, and the details of low contrast images Information is easily lost and other problems, to achieve the effect of improving accuracy

Active Publication Date: 2015-01-14
SHANGHAI UNITED IMAGING HEALTHCARE
View PDF10 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the traditional MRI image reconstruction method based on compressed sensing, the details of low-contrast images are easily lost during the image reconstruction process, and the information loss will be more serious with the increase of the acceleration multiple, which will affect the accuracy of the MRI image reconstruction results.

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
  • Magnetic resonance image reconstruction method and device based on compressed sensing
  • Magnetic resonance image reconstruction method and device based on compressed sensing
  • Magnetic resonance image reconstruction method and device based on compressed sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0058] Such as figure 1 As shown, in one embodiment, a kind of magnetic resonance image reconstruction method based on compressive sensing is provided, and this method comprises the steps:

[0059] Step 101 , obtain undersampled original K-space data through magnetic resonance scanning.

[0060] Step 102, image reconstruction is performed on the original K-space data by using the compressive sensing method.

[0061] In this embodiment, the image reconstruction equation performed by the compressive sensing method is: min||ψx|| 1 ,s.t.||F p x-y|| 2 ≤ε, where Ψ is called fixed sparse transformati...

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 provides a magnetic resonance image reconstruction method and device based on compressed sensing. The method includes the steps that under-sampled original K space data are acquired through magnetic resonance scanning; image reconstruction is conducted on the original K space data through a compressed sensing method; after an image reconstruction result tends to converge, disturbance is added to the original K space data, variances of the reconstruction result obtained after disturbance is added are counted, and then a first variogram is acquired; a region of interest in the first variogram is extracted; image mask processing is conducted on the region of interest, and then a second variogram is acquired; the second variogram is added to the image reconstruction result through a non-linear function, and then a reconstructed image is acquired. By the adoption of the method and device, the accuracy of the magnetic resonance image reconstruction result is improved.

Description

technical field [0001] The present invention relates to the technical field of magnetic resonance imaging, in particular to a method and device for reconstructing magnetic resonance images based on compressed sensing. Background technique [0002] The theory of compressed sensing takes advantage of the sparsity of the signal, and only needs to collect a small number of samples to reconstruct the original data with high quality. In recent years, the theory of compressed sensing (CS) has been rapidly developed and applied in fast magnetic resonance imaging. Using this theory, the original image can be reconstructed from the under-sampled k-space, thereby reducing the number of acquisition lines of k-space and reducing the Scanning time, to achieve the purpose of fast imaging. [0003] In the traditional MRI image reconstruction method based on compressed sensing, the detail information of the low-contrast image is easy to lose during the image reconstruction process, and the ...

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
IPC IPC(8): G01R33/56
Inventor 梁栋朱燕杰苏正航刘新郑海荣
Owner SHANGHAI UNITED IMAGING HEALTHCARE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com