A pleural effusion discrimination method and device and a computer device

A discrimination method and technology of a discriminating device are applied in the field of image processing and can solve the problems of low efficiency, lack of efficiency and accuracy of pleural effusion discrimination method and the like.

Active Publication Date: 2019-07-05
BEIJING PEREDOC TECH CO LTD
View PDF11 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the large number of CT images of lung tomography obtained during the diagnosis of pleural effusion, medical and health care personnel need to review them one by one, and the diagnosis result can onl

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 pleural effusion discrimination method and device and a computer device
  • A pleural effusion discrimination method and device and a computer device
  • A pleural effusion discrimination method and device and a computer device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] figure 1It is a flow chart of a method for discriminating pleural effusion provided in Embodiment 1 of the present invention, and the method includes the following steps:

[0058] Step S11: Obtain a CT image of the lungs, and divide the chest region according to the bone fragments in the CT image.

[0059] In the embodiment of the present invention, the CT image (CT, Computed Tomography) of the lungs is mainly used to judge the pleural effusion, wherein the CT image is an electronic computerized tomography image, using precisely collimated X-ray beams, Y-rays and ultrasound, etc., Together with the extremely high-sensitivity detector, one by one cross-sectional scanning is performed around a certain part of the human body. Specifically, this embodiment is a cross-sectional scanning image of the human lung.

[0060] In the embodiment of the present invention, the lung CT images are obtained, and before the lung CT images are divided into regions, all lung CT images can ...

Embodiment 2

[0087] Figure 4 It is a flow chart of a method for discriminating pleural effusion provided in Embodiment 2 of the present invention, and the method includes the following steps:

[0088] Step S41: Obtain a CT image of the lungs, and divide the chest region according to the bone fragments in the CT image.

[0089] This step is consistent with the above step S11, and will not be repeated here.

[0090] Step S42: Carry out image processing with a preset algorithm on the CT image, and divide the lung area in the CT image.

[0091] This step is consistent with the above step S12, and will not be repeated here.

[0092] Step S43: acquiring pixels within a preset distance below a preset number of lung regions in the CT image.

[0093] This step is consistent with the above step S13, and will not be repeated here.

[0094] Step S44: Determine whether there are pixel points equal to or exceeding the preset ratio located in the thoracic region, and when there are pixel points equal ...

Embodiment 3

[0106] Image 6 It is a schematic structural diagram of a pleural effusion discrimination device provided in Embodiment 3 of the present invention.

[0107] The pleural effusion discrimination device 600 includes:

[0108] The thorax region division module 610 is configured to acquire a lung CT image, and divide the thoracic region according to the bone blocks in the CT image.

[0109] The lung region division module 620 is configured to perform image processing of a preset algorithm on the CT image, and divide the lung region in the CT image.

[0110] A pixel point acquisition module 630, configured to acquire a preset number of pixel points within a preset distance below the lung area in the CT image.

[0111] The pleural effusion judging module 640 is used to judge whether there are pixel points equal to or exceeding the preset ratio located in the chest region, and when there are pixel points equal to or exceeding the preset ratio located in the chest region, it is deter...

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 provides a pleural effusion discrimination method and device and a computer device, and the method comprises the steps of obtaining a lung CT image, and dividing a pleural region according to bone blocks in the CT image; performing image processing of a preset algorithm on the CT image, and dividing a lung area in the CT image; acquiring a preset number of pixel points within a preset distance below the lung area in the CT image; judging whether pixel points which are equal to or greater than a preset proportion are located in the thoracic cavity area or not, and when the pixel points which are equal to or greater than the preset proportion are located in the thoracic cavity area, determining that the CT image has pleural effusion. The pleural effusion discrimination method can quickly and accurately judge whether the pleural effusion exists in the lung CT image or not, and the pleural effusion diagnosis efficiency of the lung CT image is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a pleural effusion discrimination method, device, computer equipment and computer storage medium. Background technique [0002] Existing methods for diagnosing pulmonary pleural effusion mainly use medical personnel to directly observe CT images of patients, and then obtain diagnosis results. However, since there are many tomographic CT images of the lungs obtained during the diagnosis of pleural effusion, medical and health care personnel need to review them one by one, and the diagnostic result can only be obtained after the inspection of all CT images is completed. Therefore, the current diagnostic method for pleural effusion is inefficient , lack of efficient and accurate pleural effusion discrimination method. Contents of the invention [0003] In view of the above problems, the present invention provides a pleural effusion identification method, device, ...

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): G06T7/00G06T7/11G06T7/136
CPCG06T7/0012G06T2207/10081G06T2207/30061G06T7/11G06T7/136
Inventor 许志方王方胡飞
Owner BEIJING PEREDOC TECH CO LTD
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