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

Echo planar imaging no-reference scanned image distortion rectification method under nonuniform magnetic field

A technology of echo plane and uniform magnetic field, which is applied in the fields of nuclear magnetic resonance analysis, medical science, sensors, etc. It can solve the problems that the frequency dimension distortion cannot be corrected, and the correction effect is not ideal.

Active Publication Date: 2018-06-08
XIAMEN UNIV
View PDF7 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods have some objective limitations that lead to unsatisfactory correction results. For example, the point spread function method is sensitive to regular parameters, the nonlinear registration method only corrects shape distortion and the correction effect depends on the registration algorithm, and the PSF method cannot correct the frequency dimension. Distortion

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
  • Echo planar imaging no-reference scanned image distortion rectification method under nonuniform magnetic field
  • Echo planar imaging no-reference scanned image distortion rectification method under nonuniform magnetic field
  • Echo planar imaging no-reference scanned image distortion rectification method under nonuniform magnetic field

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0074] Figure 5 The images and correction results of the mouse brain sampled in different sequences under different magnetic field conditions are shown. Among them, a-c are reference images of mouse brain obtained by multi-scan sequence; d-f are distorted echo-planar imaging images obtained by sampling under inhomogeneous magnetic field; g-h are echo-planar imaging images corrected by our proposed method; j-k are distorted images phase diagram.

[0075] In this embodiment, a rat brain experiment is carried out by using a non-reference scanning image distortion correction method for echo planar imaging under an inhomogeneous magnetic field based on a residual neural network to verify the feasibility of the present invention. The experiment was carried out under the NMR 7T animal imager. On the operating table of the magnetic resonance imager, open the corresponding operating software in the imager, first locate the region of interest in the mouse brain, and then perform tuni...

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 echo planar imaging no-reference scanned image distortion rectification method under nonuniform magnetic field, and belongs to the field of nuclear magnetic resonance imaging reconstruction method. According to the method, a single scanning echo planar imaging sequence is adopted for coding and sampling of signals, after one time of 90 DEG pulse excitation, a series of echo gradient sampling are carried out so as to obtain the signals in the whole k space, influences of nonuniform magnetic fields are accumulated in the whole sampling process. Singles obtained via sampling are subjected to two dimensional Fourier transform of image reconstruction, the real part and the imaginary part are taken as inputs of residual network. Neural network training is realized based on simulated data sets. At first random generation of labels is carried out, and then the image of distortion corresponding to the labels is achieved based on sampling conditions; batch generation of a plurality of groups of data is realized, and the obtained data is adopted for network training; network hyper-parameter is adjusted to ensure convergence of training error is realized; and at lastafter network training, network parameters are introduced, and input of actual measurement single scanning echo planar imaging is carried out so as to obtain orthoscopic images.

Description

technical field [0001] The invention relates to a nuclear magnetic resonance imaging reconstruction method, in particular to a residual neural network-based echo plane imaging non-reference scanning image distortion correction method under an inhomogeneous magnetic field. Background technique [0002] Because Magnetic Resonance Imaging (MRI) has the characteristics of less damage to soft tissue and higher resolution, it plays an important role in functional MRI (fMRI) and clinical disease diagnosis. [1,2] . In some traditional sequences such as multi-scan gradient echo, multiple RF pulse excitations are required to obtain a complete k-space signal [3] . Due to the long time interval between two consecutive scans, the total scan time is long, causing discomfort to the patient, and movement may occur during the scan, resulting in motion artifacts in the image. Therefore, the development of ultra-fast imaging technology is of great significance, especially in functional magn...

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): G01N24/08A61B5/055
CPCA61B5/055G01N24/08
Inventor 蔡淑惠廖璞蔡聪波张俊曾坤
Owner XIAMEN 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