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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
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  • 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

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  • 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

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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,...

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Abstract

The invention discloses a method and device for extracting lung lobes from chest CT images, and relates to the field of computer technology. The method includes a lung parenchyma extraction process based on 3D region growing, a left and right lung adhesion trachea removal process based on regional features, a pulmonary blood vessel root removal process, a pulmonary blood vessel center path extraction process based on topology refinement, and a lung lobe classification based on support vector machine. Segmentation algorithm to obtain lung lobe tissue. The present invention can accurately extract lung lobes from chest CT images, accurately complete the quantitative assessment of the degree of disease of each lung lobe, and make the diagnosis and treatment of lung diseases more accurate and effective.

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

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Application Information

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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
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