A method and device for extracting lung lobes from chest CT images

A technology of CT images and lung lobes, applied in the computer field, can solve problems affecting the treatment effect of COPD, the quantitative evaluation of a single lung lobe cannot be done, and the quantitative evaluation of lung lobes, etc.

Active Publication Date: 2019-11-22
NORTHEASTERN UNIV LIAONING
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Because CT equipment can obtain clear chest CT images, the use of CT images has become a major means of diagnosing COPD. However, the current medical level can only achieve quantitative diagnosis of a single lung. Evaluation cannot be done
The treatment of COPD usually requires lung lobe volume reduction surgery, but quantitative assessment of lung volume reduction cannot be performed before surgery, which will inevitably affect the treatment effect of COPD

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 method and device for extracting lung lobes from chest CT images
  • A method and device for extracting lung lobes from chest CT images
  • A method and device for extracting lung lobes from chest CT images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0086] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below with reference to the accompanying drawings and through specific embodiments.

[0087] Preferred Embodiment

[0088] like figure 1 and figure 2 As shown, this embodiment proposes a preferred method for extracting lung lobes from chest CT images, and the method for extracting lung lobes from chest CT images includes the following steps:

[0089] S1. Receive the input n (n is a natural number) layer chest CT image, obtain the intermediate image layer, select the specified pixel point in the lung area as the seed point, and perform 3D area growth according to the set segmentation threshold and the initial seed point, and obtain the image without The lung parenchyma area of ​​the pulmonary vessels.

[0090] Specifically, step S1 includes the following steps:

[0091] S11, receive the input n (n is a natural number) layer chest CT image,...

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 method and device for extracting a pulmonary lobe from a chest CT image and relates to the technical field of a computer. The method can obtain pulmonary lobe tissues through a pulmonary parenchyma extraction process based on 3D region growth, a left and right lung adhesion trachea removal process based on region features, a pulmonary vascular root removal process, a pulmonary vascular center path extraction process based on topological thinning and a pulmonary lobe segmentation algorithm based on support vector classification. The method can accurately extract the pulmonary lobe from the chest CT image, can accurately finish quantitative evaluation of illness degree of each pulmonary lobe and is more accurate and effective for diagnosis and treatment of lung diseases.

Description

technical field [0001] The invention belongs to the technical field of computers, and relates to a method and a device for extracting lung lobes from chest CT images. Background technique [0002] CT (Computed Tomography) is to use a precisely collimated X-ray beam and a highly sensitive detector to scan a certain part of the human body one by one, and use different grayscales to indicate the degree of X-ray absorption of organs and tissues For example, on chest CT images, low-density areas represent trachea and lung parenchyma, and high-density areas represent blood vessels, thoracic cavity, bones, etc. It has the characteristics of fast scanning time and clear images, and can be used for the inspection of various diseases. Doctor's observation and diagnosis of diseases provides a convenient and reliable basis. [0003] Since CT equipment can obtain clear chest CT images, CT images have become a main method for diagnosing COPD. However, the current medical level can only a...

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): G06T7/00G06T7/11G06T7/136G06T7/155G06T7/187G06T7/194
CPCG06T7/0012G06T7/11G06T7/136G06T7/155G06T7/187G06T7/194G06T2207/10081G06T2207/20036G06T2207/20101G06T2207/30061
Inventor 覃文军赵姝颖姚洪柱杨金柱路石洁栗伟曹鹏冯朝路孙强陈世伟魏星赵大哲
Owner NORTHEASTERN UNIV LIAONING
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