Fast and parallel dynamic MRI method based on compressive sensing technology

A technology of magnetic resonance imaging and compressed sensing, applied in the field of medical magnetic resonance imaging and medical imaging detection

Inactive Publication Date: 2014-01-15
SHANDONG UNIV AT WEIHAI +1
View PDF1 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004]Traditional fast dynamic magnetic resonance imaging methods are

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
  • Fast and parallel dynamic MRI method based on compressive sensing technology
  • Fast and parallel dynamic MRI method based on compressive sensing technology
  • Fast and parallel dynamic MRI method based on compressive sensing technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0036] (1) Obtain the measurement sample data of k-t space from the magnetic resonance scanner , , is a Fourier sampling operator, and the specific form is determined by the sampling trajectory. Here you can choose Cartesian sampling trajectory and non-Cartesian sampling trajectory. The commonly used non-Cartesian sampling trajectory includes radial, spiral, concentric circle, etc. If you use non-Cartesian sampling trajectory, you need to use interpolation to map the non-Cartesian coordinates to nearest neighbor integer points on a Cartesian grid point.

[0037] (2) Choose an appropriate sparse transformation for a specific application. For example, the x-f sparse domain is selected for dynamic cardiac cine imaging, and the 3D total variation (TV) sparse domain is used for cardiac perfusion imaging in the presence of respirator...

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 fast and parallel dynamic MRI method based on a CS compressive sensing technology due to the fact that an existing imaging method is low in speed and high in hardware cost. The method comprises the steps that under a set accelerated factor, irrelevant sampling trajectories in k-t space are generated, and then data are collected according to the trajectories; objective functions are established by the utilization of the composite information of a dynamic MRI image sparse and low rank structure; finally, the composite regularization objective functions are solved through an FCSA, optimal solutions can be fast obtained in parallel, and therefore original dynamic MRI image sequences are rebuilt. According to the method, the limit of the classic Nyquist sampling theorem is broken through, a small number of data points are sampled randomly, joint sparse information is combined, and the dynamic MRI image sequences are rebuilt through the FCSA allowing parallel implementation. Therefore, MRI time is substantially shortened.

Description

technical field [0001] The invention relates to the technical field of medical imaging detection, in particular to the technical field of medical magnetic resonance imaging, and specifically refers to a fast parallel dynamic magnetic resonance imaging method based on compressed sensing. Background technique [0002] Dynamic magnetic resonance imaging (dMRI) is a voxel image imaging technology that uses nuclear magnetic resonance signals measured in vitro to generate dynamic characteristics of internal organs. It is a non-invasive diagnostic method with high soft tissue resolution. method incomparable advantages. However, conventional dynamic magnetic resonance imaging takes a long time, costs too much, and it is difficult to avoid image blur and contrast distortion caused by physiological movements in the subject's body, thus limiting its practical clinical application. [0003] There are two main factors affecting the speed of dynamic MRI: (1) raw data acquisition speed; (...

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): A61B5/055G06T11/00
Inventor 董恩清吕成林郑清彬曹祝楼
Owner SHANDONG UNIV AT WEIHAI
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