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

Multi-energy-spectrum segmented sparse scanning iterative reconstruction method based on traditional single-energy CT

An iterative reconstruction and multi-energy spectrum technology, applied in the field of iterative reconstruction of multi-energy spectrum segmented sparse scanning based on traditional single-energy CT

Active Publication Date: 2019-12-03
SOUTHERN MEDICAL UNIVERSITY
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, limited angle artifacts still remain in the reconstruction results of this method, and in some cases the reconstruction quality is only close to that of the traditional method

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
  • Multi-energy-spectrum segmented sparse scanning iterative reconstruction method based on traditional single-energy CT
  • Multi-energy-spectrum segmented sparse scanning iterative reconstruction method based on traditional single-energy CT
  • Multi-energy-spectrum segmented sparse scanning iterative reconstruction method based on traditional single-energy CT

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0080] The iterative reconstruction method of multi-energy spectral segmental sparse scanning based on traditional single-energy CT, such as figure 1 As shown, the steps involved are:

[0081] Step 1. Using a segmented and sparse scanning mode on the traditional single-energy CT, X-rays of multiple energies are used to scan the object to be measured in corresponding multiple limited angle ranges, and the multiple energies of the object to be measured are obtained. piecewise sparse projection data;

[0082] Step 2. Using multiple segmented sparse projection data obtained in step 1, apply the image iterative reconstruction method of joint full variation regularization and robust principal component analysis constraints, respectively reconstruct the CT images of the measured object under multiple energies .

[0083] The X-rays of a plurality of energies in the present invention refer to a plurality of X-rays having different energy spectrum curves.

[0084] The model of image ...

Embodiment 2

[0132]Based on the iterative reconstruction method of multi-energy spectrum segmented sparse scanning of traditional single-energy CT, the segmented sparse scanning mode is adopted on traditional single-energy CT, and X-rays of different energies are used to scan the measured object in corresponding multiple limited angle ranges. , to obtain the projection data of the measured object under various energies, and then use the measured projection data under multiple energies to reconstruct each CT image of the measured object under energy.

[0133] The test phantom used in this example is as figure 2 As shown, the method is simulated and analyzed for the NCAT phantom (a chest and abdomen phantom with rich information), and the size is 512mm×512mm.

[0134] The scanning parameters of the system are: the distance from the ray source to the flat panel detector is 800mm, the distance from the rotation center to the flat panel detector is 400mm, and the detector consists of 512 dete...

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 multi-energy-spectrum segmented sparse scanning iterative reconstruction method based on traditional single-energy CT. The method comprises the following steps of: 1, scanning a measured object in a plurality of corresponding limited angle ranges by applying X-rays with a plurality of energies by adopting a segmented sparse scanning mode on the traditional single-energy CT to obtain a plurality of segmented sparse projection data of the measured object under the plurality of energies; and step 2, applying an image iterative reconstruction method combining total variation regularization and robustness principal component analysis constraint to the plurality of segmented sparse projection data obtained in the step 1 to respectively reconstruct CT images of the measured object under a plurality of energies. According to the invention, a segmented sparse scanning mode is designed by utilizing the consistency of the structure of a measured object under different energies, so that the technical requirement on the voltage switching frequency of the bulb tube is greatly reduced. Meanwhile, in order to solve the problem of incompleteness of projection data, the invention provides an image iterative reconstruction method combining total variation regularization and robustness principal component analysis constraints, noise and artifacts are effectively removed,and a high-quality reconstruction result is obtained.

Description

technical field [0001] The invention relates to the field of X-ray CT imaging, in particular to a multi-energy spectrum segmented sparse scanning iterative reconstruction method based on traditional single-energy CT. Background technique [0002] Computed tomography (CT for short) can reconstruct the tomographic structure information of the scanned object, and has been widely used in medical diagnosis, radiation therapy, industrial inspection, aerospace and archaeology and other fields. However, the X-rays emitted by the commonly used X-ray tubes are not ideal monochromatic X-ray beams, but polychromatic X-ray beams subject to a certain spectral distribution, which will cause problems such as beam hardening and low tissue contrast. In addition, different tissues with different compositions can be represented by the same CT value, making classification of different tissue types difficult. To solve this problem, Alvarez and Macovski proposed dual-energy spectral CT, which can...

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): G06T11/00
CPCG06T11/005G06T2211/424
Inventor 周凌宏罗宁李斌徐圆
Owner SOUTHERN MEDICAL UNIVERSITY
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