Low-dose computed tomography (CT) image processing method based on wavelet space directional filtering

A CT image and processing method technology, applied in the field of computed tomography, can solve problems such as inability to effectively suppress star-stripe artifacts, and achieve the effects of satisfying quality requirements, improving quality, and suppressing star-stripe artifacts and noise

Inactive Publication Date: 2011-04-20
SOUTHEAST UNIV
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to overcome the problem that existing low-dose CT image processing methods cannot effectively suppress s

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-dose computed tomography (CT) image processing method based on wavelet space directional filtering
  • Low-dose computed tomography (CT) image processing method based on wavelet space directional filtering
  • Low-dose computed tomography (CT) image processing method based on wavelet space directional filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0023] The low-dose CT image processing method based on wavelet spatial directional filtering of the present invention, as attached figure 1 shown, including the following steps:

[0024] Step 1. Use the static wavelet transform to process the low-dose CT image Do single-layer decomposition to obtain high-frequency detail images in horizontal, vertical and diagonal directions after decomposition , , and low frequency images ;

[0025] Specifically, using the high-frequency and low-frequency filters of the Haar wavelet, along the image High-frequency and low-frequency filtering are performed in the horizontal and vertical directions respectively, and the middle area of ​​the original image size is taken for the obtained image to obtain a high-frequency detail image in the horizontal direction , along the image Do high-frequency and low-f...

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-dose computed tomography (CT) image processing method based on wavelet space directional filtering, belonging to the technical field of computerized tomography. The method is as follows: firstly, static wavelet transform is used for carrying out single-layer decomposition on the low-dose CT image to be processed, then high-frequency detailed images in the horizontal, vertical and opposite angle directions are subjected to one-dimensional nonlinear diffusion filtering in the vertical and horizontal directions respectively so as to restrain the information intensity of star-strip artifacts in high-frequency detailed images in different directions, and then inverse static wavelet transform is conducted according to the processed high-frequency detailed images in the horizontal, vertical and opposite angle directions and the original low-frequency images for rebuilding to obtain artifacts so as to obtain restrained CT images, finally, the image is further processed by using the existing large adjacent region weighted average noise suppression method. By utilizing the method, the star-strip artifacts and noise in the low-dose CT image can be effectively restrained, and the quality of the low-dose CT image can be improved, so that the low dose CT image meets the quality requirements of clinical diagnosis.

Description

technical field [0001] The invention relates to a low-dose CT image processing method, in particular to a low-dose CT image processing method based on wavelet spatial directional filtering, and belongs to the technical field of computed tomography imaging. Background technique [0002] As a routine and effective clinical medical diagnostic tool at present, X-ray computerized tomography (X-ray Computerized Tomography, CT) can clearly obtain the attenuation information of different tissues of the human body for X-rays on the millimeter scale, so as to provide clinicians with diagnostic tools. and prevention provide rich 3D human organ tissue information. Today, as a mature and clinically accepted inspection method, CT has become one of the indispensable and main tools in the field of radiological diagnosis. However, with the popularity of CT tomography in clinical diagnosis, especially in routine examinations, the radiation dose in CT scanning has attracted more and more atte...

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): G06T11/00
Inventor 陈阳罗立民李松毅鲍旭东
Owner SOUTHEAST UNIV
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