Method eliminating magnetic resonance imaging (MRI) gradient echo sequence odd-even phase difference

A technology of magnetic resonance imaging and phase difference, which is applied in the direction of using the nuclear magnetic resonance imaging system for measurement, magnetic resonance measurement, measurement of magnetic variables, etc., to achieve the effect of eliminating the odd-even phase difference

Active Publication Date: 2017-05-10
EAST CHINA NORMAL UNIV
View PDF7 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a method for eliminating the odd-even phase difference of magnetic reso...

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
  • Method eliminating magnetic resonance imaging (MRI) gradient echo sequence odd-even phase difference
  • Method eliminating magnetic resonance imaging (MRI) gradient echo sequence odd-even phase difference
  • Method eliminating magnetic resonance imaging (MRI) gradient echo sequence odd-even phase difference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0028] This embodiment is the brain data of a healthy and normal volunteer. The data comes from a Siemens 3.0T magnetic resonance imaging system. The data acquisition adopts a three-dimensional gradient echo sequence, and its parameters are: TR=30ms, TE1=3.3ms, ΔTE=3.3ms, The number of echoes is 8, the spatial resolution of the image is 144*192*128, and the size of each pixel is 1.25mm*1.25mm*1.25mm. The data acquisition obtained the model diagram ( figure 2 ) and phase diagram ( image 3 ).

[0029] Step 1: Brain regions are automatically segmented from the template image obtained by MRI. In this embodiment, the local adaptive model segmentation method (Smith SM, Fast robust automated brain extraction. Hum Brain Mapp2002; 17(3): 143-155) is adopted, and the obtained brain region cross-section, sagittal plane and coronal plane are displayed See Figure 4 .

[0030] Step 2: Calculate the phase difference map of odd and even echoes from the phase maps of the first three ec...

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 method eliminating magnetic resonance imaging (MRI) gradient echo sequence odd-even phase differences; the method comprises the following steps: 1, automatically segmenting a brain area on a modular figure obtained by MRI; 2, calculating phase images of the first 3 echo obtained by MRI so as to obtain an odd-even echo phase difference chart; 3, tagging singular points on the odd-even echo phase difference chart; 4, linear fitting the phase difference chart in three space directions so as to obtain slopes and intercepts of the three directions; 5, correcting the phase of even ocho. The method can eliminate the magnetic resonance imaging (MRI) multi-echo gradient echo sequence odd-even phase differences, and can automatically select the phase difference fitting area. Compared with a manual selection area method, the method is time saving and labor saving, more objective, and can provide an accurate result for a MRI quantify magnetic susceptibility chart.

Description

technical field [0001] The invention relates to the technical field of magnetic resonance imaging, in particular to a method for eliminating the odd-even phase difference of a magnetic resonance imaging gradient echo sequence. Background technique [0002] In recent years, with the improvement of the main magnetic field of the magnetic resonance imaging system, the application of multi-channel coils and the development of complex signal processing technology, the sensitivity of magnetic resonance imaging has been further improved, and magnetic resonance imaging can display the human body that could not be seen before. The fine structure of the cerebral cortex is partly due to changes in the local magnetic susceptibility of the brain. The image obtained by using the phase information discarded by general magnetic resonance imaging technology is called the magnetic resonance phase map. The high-resolution magnetic resonance phase map can display brain structures that cannot be...

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
CPCG01R33/5608
Inventor 李建奇王乙李改英
Owner EAST CHINA NORMAL UNIV
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