Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image segmentation method, device and equipment and storage medium

An image segmentation and image technology, applied in the field of medical image processing, can solve the problems of incomplete segmentation and segmentation leakage, and achieve the effect of ensuring integrity and suppressing data leakage.

Pending Publication Date: 2019-05-03
SHANGHAI UNITED IMAGING HEALTHCARE
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide an image method, device, device, and storage medium, which solve the problem of incomplete segmentation or segmentation leakage in the field of tubular structure segmentation

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
  • Image segmentation method, device and equipment and storage medium
  • Image segmentation method, device and equipment and storage medium
  • Image segmentation method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] figure 1 It is a flowchart of an image segmentation method provided in Embodiment 1 of the present invention. This embodiment is applicable to the case of image segmentation with tubular structural features, especially suitable for the case of coronary artery image segmentation. The method can be executed by the image segmentation device provided in the embodiment of the present invention, and the device can be realized by software and / or hardware. see figure 1 , the method of the embodiment of the present invention specifically includes the following steps:

[0044] S110. Acquire image data of a target object, and determine an image to be segmented according to the image data.

[0045] Wherein, the image data of the target object can be obtained based on electronic computer X-ray tomography technology, which can be based on X-ray beams to scan a layer of a certain thickness of the target object, and the detector receives the X-rays that pass through this layer and c...

Embodiment 2

[0070] figure 2 It is a flowchart of an image segmentation method provided in Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above technical solutions. In this embodiment, "cutting the image tree based on the preset high-threshold probability clipping algorithm" is specifically optimized as "if each branch node in the middle path is less than the preset high-probability threshold and the number of each branch node is greater than the preset Set the threshold to determine the start endpoint and end endpoint in each branch node, where the branch node is a node other than the root node and the leaf node; based on the preset optimal path algorithm, find the starting endpoint and the end endpoint path, replace the middle path; otherwise, cut each branch node in the middle path". Wherein, explanations of terms that are the same as or corresponding to the above embodiments are not repeated here. Correspondingly, such as figure 2 As shown...

Embodiment 3

[0086] image 3 It is a structural block diagram of an image segmentation device provided in Embodiment 3 of the present invention, and the device is used to implement the image segmentation method provided in any of the above embodiments. The device and the image segmentation method of the above-mentioned embodiments belong to the same inventive concept. For the details not described in detail in the embodiment of the image segmentation device, reference may be made to the above-mentioned embodiment of the image segmentation method. see image 3 , the device may specifically include: an image to be segmented determination module 310 , an initial segmented image obtaining module 320 , an image tree determination module 330 and a segmented image determination module 340 .

[0087] Wherein, the image to be segmented determination module 310 is used to obtain image data of the target object, and determine the image to be segmented according to the image data;

[0088] The initi...

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 embodiment of the invention discloses an image segmentation method and device, equipment and a storage medium. The method comprises the steps of obtaining image data of a target object, and determining a to-be-segmented image according to the image data; Segmenting the to-be-segmented image based on a preset low-threshold region growing algorithm to obtain an initial segmented image with a tubular structure; performing skeletonization processing on the initial segmented image to obtain an image tree with a tubular structure; and cutting the image tree based on a preset high-threshold probability cutting algorithm, and determining a segmented image of the tubular structure according to the cut image tree. According to the technical scheme provided by the embodiment of the invention, theproblem of incomplete segmentation or segmentation leakage in the existing scheme is solved, the tubular structures such as trachea, blood vessels and coronary vessels in the medical image can be accurately segmented, and a basis is provided for medical diagnosis.

Description

technical field [0001] Embodiments of the present invention relate to medical image processing technology, and in particular to an image segmentation method, device, equipment and storage medium. Background technique [0002] Cardiovascular disease is a disease with high morbidity and mortality. Cardiac coronary artery segmentation based on computer X-ray tomography (Computed Tomography, CT) technology can extract the left and right coronary tree outlines of coronary arteries and the trunk and trunk of coronary arteries. Twigs can make it easier for doctors to observe conditions such as stenosis, calcification, and plaque, thus providing a basis for doctors to prevent and diagnose cardiovascular diseases in the early stage. [0003] The segmentation of existing tubular structures such as blood vessels, trachea, and coronary arteries is mostly based on region growing technology or centerline tracking technology. However, the segmentation technology based on region growth is ...

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 Applications(China)
IPC IPC(8): G06T7/136
Inventor 沈建华王晓东
Owner SHANGHAI UNITED IMAGING HEALTHCARE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com