Phased array coil magnetic resonance image non-uniformity correction method based on projection estimation

A non-uniformity correction, magnetic resonance image technology, applied in image enhancement, image data processing, 2D image generation, etc., can solve problems such as increasing hardware burden and scanning time, and achieve the effect of solving the problem of insignificant correction effect.

Pending Publication Date: 2021-04-16
SUZHOU LONWIN MEDICAL SYST
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above methods all require additional scan data, which increases the burden on the hardware to a certain extent, and the scan time will also increase

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
  • Phased array coil magnetic resonance image non-uniformity correction method based on projection estimation
  • Phased array coil magnetic resonance image non-uniformity correction method based on projection estimation
  • Phased array coil magnetic resonance image non-uniformity correction method based on projection estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0044] Example: such as figure 1 The shown method for correcting non-uniformity of a phased array coil magnetic resonance image based on projection estimation includes the following steps: (1) performing threshold processing on the original magnetic resonance image data (raw image) to obtain a mask image (mask); The region of interest image (ROI) is obtained by merging the template image (mask) and the original magnetic resonance image; (2) Radon projection transformation is performed on the image of the region of interest within 90° to obtain projection curves at various angles; (3) Non-linear fitting is performed on the target area of ​​the projection curve at various angles to eliminate high-frequency signals of human tissue; (4) Perform Radon inverse transformation on the fitted integral curve to reconstruct the estimated bias field image and perform low-pass filtering ; (5) performing low-pass filtering on the mask image obtained in step (1) and merging it with the origin...

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 phased array coil magnetic resonance image non-uniformity correction method based on projection estimation, and the method comprises the steps: obtaining a binary mask image through a threshold method, obtaining an ROI (Region of Interest) image, carrying out the projection of the ROI image, carrying out the fitting of a projection curve through a non-linear fitting method, reconstructing the fitted curve by adopting a Radon inverse transformation method to obtain a bias field estimation image, processing the mask and the bias field estimation image based on a low-pass filtering method, and fusing the original magnetic resonance image, the mask image and the bias field estimation image by utilizing a designed image fusion algorithm to obtain a non-uniformity corrected image. According to the method, the problem of non-uniform image gray caused by non-uniform magnetic field of the radio frequency coil and spatial difference of sensitivity of the phased array coil in a conventional magnetic resonance system is effectively solved, and the magnetic resonance image is corrected by using the method; the result shows that the corrected image greatly improves the uniformity of the image while guaranteeing the signal-to-noise ratio, and the method has a very high clinical application value.

Description

technical field [0001] The invention belongs to the field of magnetic resonance imaging, and in particular relates to a method for correcting non-uniformity of a phased array coil magnetic resonance image based on projection estimation. Background technique [0002] Magnetic resonance imaging is widely used in medical diagnosis and scientific research due to its advantages of no radioactivity, clear imaging, good soft tissue resolution, optional imaging plane, no gas and bone artifact interference, etc. However, due to the inhomogeneity of the magnetic field generated by the radio frequency coil and the spatial difference in the sensitivity of the coil, the gray scale of the MR image will be uneven, which will even affect the doctor's judgment on the disease. [0003] Aiming at the problem of gray inhomogeneity in MR images, many experts in the field of magnetic resonance have conducted research and proposed a variety of correction algorithms. It can be roughly divided into...

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): G06T11/00G06T5/00G06T5/50
Inventor 李鹏宇丁少伟丁宁
Owner SUZHOU LONWIN MEDICAL SYST
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