Composite reconstruction method for self-adaptation quantitative magnetisability distribution diagram based on structural feature

A technology for quantifying magnetic susceptibility and structural characteristics, which is applied in magnetic resonance measurement, measurement of magnetic variables, measurement using nuclear magnetic resonance imaging system, etc., and can solve problems that need to be fully developed.

Inactive Publication Date: 2015-01-07
XIAMEN UNIV
View PDF4 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the domestic research on magnetic susceptibility contrast imaging mainly focuses on SWI, and the research on QSM has yet to be fully developed.

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
  • Composite reconstruction method for self-adaptation quantitative magnetisability distribution diagram based on structural feature
  • Composite reconstruction method for self-adaptation quantitative magnetisability distribution diagram based on structural feature
  • Composite reconstruction method for self-adaptation quantitative magnetisability distribution diagram based on structural feature

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The self-adaptive quantitative magnetic susceptibility distribution map composite reconstruction method based on structural features proposed by the present invention can reconstruct more structural information and provide more accurate quantitative analysis of the reconstructed magnetic susceptibility distribution. The specific implementation process of the method is as follows:

[0037] First, a numerical simulation experiment is carried out. Place a disc in a simulated 3D volume data, such as figure 1 As shown in .a), 8 magnetic susceptibility spheres are evenly placed in the disk, and the magnetic susceptibility value of each magnetic susceptibility sphere obeys a linear distribution between 0.5 and 4ppm. Three mutually perpendicular cylinders are placed in the middle of the spheres. The magnetic susceptibility value is 0.5 ppm. figure 1 .b) shows the amplitude image corresponding to the simulation data, in which the sphere pointed by the black arrow is the hemorr...

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 composite reconstruction method for a self-adaptation quantitative magnetisability distribution diagram based on the structural feature, and relates to quantitative magnetisability imaging. According to the priori magnetisability distribution diagram base reconstruction based on the amplitude image structural feature, a reconstruction model comprises a fidelity item with a compression perception characteristic and an amplitude priori regularization bound item with a sparse feature, a region of interest is added to extract a binary weighting matrix from an amplitude image, and binary weighting is conducted on original magnetisability distribution; according to magnetisability distribution diagram composite reconstruction based on the magnetisability distribution structural feature, the reconstruction model comprises a least square fidelity item, a structural feature regularization bound item, acquired by base reconstruction, of a magnetisability distribution diagram structure, and a smooth item used for improving a reconstruction magnetisability distribution effect, the magnetisability structural feature is defined as the ladder degree information of 3D image data in three directions in a priori mode; for a l1 norm optimization problem, an iterative threshold value method is used for processing; then, based on the convex function character of a l2 norm, a conjugate gradient method is used for solving.

Description

technical field [0001] The invention relates to quantitative magnetic susceptibility imaging, in particular to a method for composite reconstruction of adaptive quantitative magnetic susceptibility distribution maps based on structural features. Background technique [0002] Quantitative Susceptibility Mapping (QSM) uses the phase information of gradient echo data to generate a map of the magnetic field properties of tissue [1]. The magnetic susceptibility and magnetic field distribution relationship is nonlocal in nature, depending on the spatial distribution of magnetic susceptibility and its orientation relative to the main magnetic field. Magnetic susceptibility information was previously considered as useless image contrast information, which could even lead to signal loss, distortion and imaging artifacts. Early researchers were committed to effectively calculating the disturbance of the main magnetic field caused by the inhomogeneity of the induced magnetic field gen...

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): G01R33/56
Inventor 包立君李明汉熊丛丛蔡聪波陈忠
Owner XIAMEN 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