Interventional Magnetic Resonance Imaging Method, System and Medium Based on Low Rank and Sparse Decomposition

A technology of sparse decomposition and imaging method, which is applied in the direction of using nuclear magnetic resonance image system for measurement, magnetic resonance measurement, and measurement of magnetic variables. It can solve the problems of difficult real-time imaging navigation, real-time imaging and interventional navigation, and avoid motion Artifacts, good reconstruction image quality, good real-time effect

Active Publication Date: 2022-02-25
SHANGHAI JIAOTONG UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the limitation of imaging time, conventional MRI methods are difficult to achieve real-time imaging and interventional navigation
Although the current magnetic resonance dynamic imaging for heartbeat and respiratory motion can achieve good temporal and spatial resolution, it needs to carry out image reconstruction after all acquisition processes are completed, which is difficult to apply to real-time imaging navigation

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
  • Interventional Magnetic Resonance Imaging Method, System and Medium Based on Low Rank and Sparse Decomposition
  • Interventional Magnetic Resonance Imaging Method, System and Medium Based on Low Rank and Sparse Decomposition
  • Interventional Magnetic Resonance Imaging Method, System and Medium Based on Low Rank and Sparse Decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0068] A magnetic resonance interventional imaging method based on low-rank and sparse decomposition provided by the present invention comprises the following steps:

[0069] Step 1: During the intervention, the k-space data is collected continuously using the golden angle radial sampling method;

[0070] In order to achieve fast MRI interventional imaging, the golden angle radial sampling method is adopted to continuously collect k-space data during the intervention process, that is, the sampling radial spoke interval angle is the "golden angle", such as figure 1 (a) shown.

[0071] Step 2: Group the collected spatial data;

[0072] In dynamic magnetic resonance imaging, in the prior art, all k-space data are usually collected retrospectively and reconstructed, and each frame of image needs to be reconstructed with a certain number of radial spokes, such as figure 1 (b) shown. This kind of retrospective reconstruction is not suitable for MRI interventional imaging that req...

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 present invention provides a magnetic resonance interventional imaging method, system, and medium based on low-rank and sparse decomposition, including: step 1: during the intervention process, continuously collect k-space data by using the golden angle radial sampling method; step 2: The collected k-space data are grouped; Step 3: The method based on low-rank and sparse decomposition and framelet transformation is used to reconstruct the magnetic resonance interventional image. The present invention is based on grouping k-space collection and reconstruction, can carry out reconstruction under the condition of less data collection, has high time resolution and good real-time performance.

Description

technical field [0001] The present invention relates to the technical field of magnetic resonance interventional imaging, in particular, to a method, system and medium of magnetic resonance interventional imaging based on low-rank and sparse decomposition; in particular, to a method for k-space using golden angle radial sampling, based on An Interventional Magnetic Resonance Imaging Method for Image Reconstruction with Low-Rank and Sparse Decomposition. Background technique [0002] Interventional MRI (i-MRI) is an important method for magnetic resonance image-guided therapy. Magnetic resonance images provide better soft tissue contrast than other imaging modalities such as CT and ultrasound. This could greatly improve the outcomes of procedures such as biopsies and deep brain stimulation (DBS). However, due to the limitation of imaging time, conventional MRI methods are difficult to achieve real-time imaging and interventional navigation. Although the current magnetic re...

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 Patents(China)
IPC IPC(8): G01R33/48
CPCG01R33/4818
Inventor 冯原何钊朱亚南邱苏豪张小群
Owner SHANGHAI JIAOTONG 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