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

Low-dosage CT image decomposition method based on three-dimensional distinctive feature representation

A CT image and feature image technology, applied in the field of computed tomography, can solve the problem of not being able to effectively separate star-streaked artifacts and noise, and achieve the effect of improving use efficiency

Active Publication Date: 2015-12-02
江苏一影医疗设备有限公司
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] Purpose of the invention: The technical problem to be solved by the present invention is to overcome the problem that the existing low-dose CT image processing method cannot effectively separate the star-streak artifacts and noises, and provide a method that can effectively separate the star-streak artifacts in the low-dose CT image. The method of shadowing noise and structural features is called Discriminative Feature Representation Dictionary Learning (DFRDL)

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
  • Low-dosage CT image decomposition method based on three-dimensional distinctive feature representation
  • Low-dosage CT image decomposition method based on three-dimensional distinctive feature representation
  • Low-dosage CT image decomposition method based on three-dimensional distinctive feature representation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0032] The method for DFRDL low-dose CT image decomposition comprises the following steps:

[0033] Step 1. Scan the phantom to obtain a set of corresponding three-dimensional low-dose phantom CT images and 3D normal dose phantom CT images Sample (this step can be scanned according to the parameters of the low-dose CT image to be processed, and the obtained sample can be used repeatedly in the decomposition of similar low-dose CT images in the future);

[0034] Specifically, using a specific p...

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 low-dosage CT image decomposition method based on three-dimensional distinctive feature representation. The method comprises steps of: scanning a phantom to acquire a group of corresponding low-dosage and normal-dosage phantom CT images; selecting a feature block in the normal-dosage phantom CT image to form a feature dictionary, performing subtraction on the low-dosage and normal-dosage phantom CT images so as to obtain a low-dosage noise pseudo shadow image, and selecting a feature block in the noise pseudo shadow image to form a noise pseudo shadow dictionary; and representing a clinic low-dosage CT image by using a three-dimensional distinctive dictionary formed by the feature dictionary and the noise pseudo shadow dictionary in order to obtain a feature image represented by the feature dictionary and a noise pseudo shadow image represented by the noise pseudo shadow dictionary, thereby achieving decomposition of the low-dosage CT image. The method may effectively separate noise and strip-shaped pseudo shadow from feature structure components in the low-dosage CT image, satisfies a quality requirement of clinic analysis and diagnosis, and improves the use efficiency of the low-dosage CT image.

Description

technical field [0001] The invention relates to a method for decomposing low-dose CT images, in particular to a method for decomposing low-dose CT images based on three-dimensional distinctive feature representation, and belongs to the technical field of computerized tomography. Background technique [0002] X-ray computer tomography (X-rayComputerTomography, CT) technology is an imaging technology that obtains accurate and non-destructive cross-sectional attenuation information of objects through ray projection measurement of objects. It is one of the conventional and effective clinical medical diagnostic tools at present. The doctor's diagnosis and prevention provide rich three-dimensional human organ tissue information, which has become an indispensable inspection and diagnosis method in the field of medical imaging. However, with the popularity of CT tomography in clinical diagnosis, especially in routine examinations, the radiation dose in CT scanning has attracted more...

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): G06T7/00
CPCG06T7/0014G06T2207/10081G06T2207/20221G06T2207/30004
Inventor 陈阳刘进罗立民李松毅鲍旭东
Owner 江苏一影医疗设备有限公司
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