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

Imaging method and device combining k-space and image space reconstruction

An imaging method and technology of image space, which are applied in the direction of using nuclear magnetic resonance imaging system for measurement, magnetic variable measurement, magnetic resonance measurement, etc. problem, to achieve the effect of improving the net acceleration effect and speeding up the collection speed

Active Publication Date: 2021-12-17
ZHEJIANG UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to solve the problems in the prior art that multi-frame imaging reconstruction cannot be self-calibrated, and the reconstructed image has potential artifacts, and the speed-up effect is greatly limited, and provides a fast imaging method combining k-space and image space reconstruction (The English name is joint K-space and Image-space Parallel Imaging, which can be referred to as the KIPI method in the future) and the device, which can recover accurate images from highly undersampled k-space data

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
  • Imaging method and device combining k-space and image space reconstruction
  • Imaging method and device combining k-space and image space reconstruction
  • Imaging method and device combining k-space and image space reconstruction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0071] 1. MRI experiment

[0072] All phantom experiments and human experiments were performed on a 3 Tesla (T) Siemens scanner (MAGNETOM Prisma, Siemens Healthcare, Erlangen, Germany) using a 64-channel receiver head coil. The phantom consists of a flask filled with 2% agarose gel and two test tubes. One tube was filled with 10% bovine serum albumin (BSA) dissolved in phosphate buffered saline (PBS) and the other tube was filled with 5% bovine serum albumin also dissolved in PBS. Human studies were approved by the local institutional review board.

[0073] The sequence used was the CEST imaging sequence, and the measured MRI parameter was the magnitude of the amide proton transfer effect.

[0074] For the phantom, the CEST scan uses a 1.0s long, 2μT saturation pulse, and then uses a fat-suppressed axial 2D multi-spin echo (TSE) sequence readout, and the acquisition parameters are TE=6.7ms; TR=3s; FA=90; FOV=212×186mm 2 ;Resolution=2.2×2.2mm 2 ; Slice thickness = 5 mm; Ac...

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 imaging method and device combining k-space and image space reconstruction, belonging to the field of magnetic resonance imaging. This method firstly uses the k-space parallel imaging method to reconstruct the subsampled image frame with automatic calibration signal obtained in the multi-frame imaging required for the measurement of magnetic resonance parameters; then for other undersampled image frames without automatic calibration signal Image frame data, reconstructed in image space. The present invention generates the sensitivity maps required for an accurate SENSE method from undersampled data without additional acquisition. This method produces images that are almost identical to the traditional GRAPPA method, with no visible artifacts; however, it is four times or more faster than the traditional GRAPPA method. As a self-calibrating reconstruction method that does not require full-sampled frames, the method is especially suitable for accelerating three-dimensional (3D) multi-frame magnetic resonance imaging.

Description

technical field [0001] The invention belongs to the field of magnetic resonance imaging, and can realize fast acquisition for the measurement of magnetic resonance parameters requiring multiple frames of image data. Background technique [0002] Magnetic resonance imaging (MRI) can be used to measure tissue including nuclear spin density, longitudinal relaxation time (T1), transverse relaxation time (T2), apparent diffusion coefficient (ADC), cerebral blood flow rate, magnetization transfer rate, etc. parameter. Signal sources for these parameters can be the nuclei of endogenous compounds present in the organism (e.g. 1 H), can also be exogenous substances or tracers. Direct quantification of MRI parameters of tissue can provide more valuable clinical information on various pathologies in neurological, musculoskeletal, hepatic, and cardiac imaging. [0003] Imaging techniques for measuring these parameters include relaxation time imaging, diffusion imaging, perfusion imag...

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): G01R33/56
CPCG01R33/56G01R33/5611G01R33/5605G01R33/5608
Inventor 张祎祖涛孙毅吴丹
Owner ZHEJIANG 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com