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

Magnetic resonance non-Descartes sampling quick rebuilding method

A non-Cartesian, magnetic resonance technology, applied in the field of rapid reconstruction of magnetic resonance non-Cartesian sampling, can solve the problems of difficult real-time reconstruction and time-consuming calculation of density compensation functions, so as to reduce the number of sampling points and improve sampling The effect of the number of points

Inactive Publication Date: 2013-11-20
SHENYANG POLYTECHNIC UNIV
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a fast reconstruction method for magnetic resonance non-Cartesian sampling, the main purpose of which is to solve the problem that the calculation of the density compensation function in non-Cartesian magnetic resonance sampling is very time-consuming, which affects the real-time performance of the reconstruction process and is difficult to achieve

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 non-Descartes sampling quick rebuilding method
  • Magnetic resonance non-Descartes sampling quick rebuilding method
  • Magnetic resonance non-Descartes sampling quick rebuilding method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] In order to verify the effectiveness of some post-compensation algorithms, we use Radial sampling data for verification. The data uses the simulation data generated by the Shepp-Logan digital simulation water model. The Radial sampling trajectory consists of 576 Spokes, each Spoke contains 128 sampling points, and the reconstructed image size is 256×256. The main technical points involved in this invention are:

[0050] 1. Calculation of partial density compensation function:

[0051] Using formula (1), calculate figure 1 Density compensation function for sampling points in mid-gray and light-gray regions. The gray area is the first quadrant of the Cartesian axis, and the width of the light gray area is the width of the convolution window when calculating the convolution in formula (1).

[0052] 2. Use symmetry to assign the density compensation function of the remaining sampling points; figure 1 in the white area.

[0053] 3. Use the obtained density compensation ...

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 a magnetic resonance non-Descartes sampling quick rebuilding method. The magnetic resonance non-Descartes sampling quick rebuilding method is provided through utilizing the characteristics of the symmetry of sampling tracks and a back compensation grid algorithm, and belongs to the technical field of magnetic resonance imaging. According to the magnetic resonance non-Descartes sampling quick rebuilding method, a back compensation gridding rebuilding algorithm is effective on samples without severe sampling track variation, and additionally, a density compensating function in the back compensating algorithm is only related to the sampling point distribution (i.e. sampling tracks) and is not related to sampling values. The characteristics are combined together, so that the computing speed of the provided new non-Descartes sampling quick rebuilding method is greatly increased than that of a conventional grid rebuilding algorithm, and the rebuilding image quality is not obviously changed.

Description

technical field [0001] The invention belongs to the technical field of magnetic resonance imaging, in particular to a fast reconstruction method for magnetic resonance non-Cartesian sampling. Background technique [0002] Due to the advantages of no radiation, high resolution, multi-directional, multi-parameter, magnetic resonance imaging has been widely used clinically. Compared with traditional Cartesian sampling, non-Cartesian sampling has many advantages, such as fast imaging speed and insensitivity to motion and flow. Especially in cardiac dynamic imaging, brain functional imaging and magnetic resonance spectroscopy imaging, the advantages of non-Cartesian sampling are more obvious. In addition, many motion correction techniques based on non-Cartesian sampling, which take full advantage of the integrated motion correction navigation information in their own acquisition, are very effective in removing motion artifacts in MRI scans. [0003] However, non-Cartesian sampl...

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): G01R33/56A61B5/055
Inventor 郭红宇
Owner SHENYANG POLYTECHNIC UNIV
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