Unlock instant, AI-driven research and patent intelligence for your innovation.

A Noise Removal Method for CT Image

A CT image and pixel point technology, applied in the field of CT image denoising, can solve the problems of long running time, reduced CT reconstruction speed, large amount of calculation, etc., and achieve the effect of improving performance, reducing access, and simplifying calculation steps

Active Publication Date: 2020-11-27
SHANGHAI UNITED IMAGING HEALTHCARE
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the CT image denoising method in the prior art has a large amount of calculation and long running time, which leads to an overall decrease in the CT reconstruction speed, the purpose of the present invention is to provide a CT image denoising algorithm, which reduces the amount of calculation and improves the reconstruction of the CT system performance

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
  • A Noise Removal Method for CT Image
  • A Noise Removal Method for CT Image
  • A Noise Removal Method for CT Image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] In order to make the above objects, features and advantages of the present invention more obvious and comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0036] figure 1 It is a flowchart of an image denoising algorithm according to an embodiment of the present invention.

[0037] Such as figure 1 As shown, in step 110, a denoising model is established, the denoising model includes the first parameter u corresponding to the first pixel in the reconstructed image, the first Bregman factor b x and the second Bregman factor b y .

[0038] In some embodiments, the denoising model is:

[0039]

[0040] Among them, J(u) is the objective function about u, and u is the first parameter corresponding to the first pixel in the reconstructed image, indicating that the pixel on the expected image (clear image after expected denoising) represents data (for example,...

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 present invention discloses a denoising method for CT images. The denoising method includes steps of establishing a denoising model that includes a first parameter, a first Bregman factor, and a second Bregman factor corresponding to a first pixel in a reconstructed image; and according to the denoising model, calculating the first parameter, the first Bregman factor, and the second Bregman factor in an iteration manner, wherein in each iteration, the first parameter is calculated according to a first set of data that includes the first Bregman factor and the second Bregman factor corresponding to the first pixel, and a first Bregman factor and a second Bregman factor corresponding to the first pixel in the previous iteration. In the iterative process, only the first parameter, the first Bregman factor and the second Bregman factor need to be calculated while other parameters are not needed to be calculated, the calculation steps are simplified, the calculation amount is reduced, and the reconstruction performance of the CT system is improved.

Description

technical field [0001] The invention relates to the field of CT image denoising, in particular to a CT image denoising method. Background technique [0002] Usually, CT images are disturbed by noise during the acquisition process, such as the quantum noise of the X-ray itself, the electronic noise of the detector and other equipment, etc. The existence of these noises will reduce the quality of the reconstructed image, and then affect the doctor's diagnosis of the disease , especially in the case of low-dose scans. In order to ensure the quality of the reconstructed image, denoising processing is generally performed on the image. [0003] Existing CT image denoising methods generally have a large amount of calculation and take a long time to run, which leads to an overall decrease in CT reconstruction speed. Therefore, it is necessary to provide a CT image denoising algorithm to solve the problems existing in the prior art. Contents of the invention [0004] Aiming at t...

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): G06T5/00
Inventor 李山奎王雨晨李慧艳
Owner SHANGHAI UNITED IMAGING HEALTHCARE