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

Organ skeleton extraction method based on medical images

A skeleton extraction and medical image technology, applied in the field of organ skeleton extraction based on medical images, can solve the problems of heavy computing load and large memory space, and achieve the effect of high applicability and good interactivity

Inactive Publication Date: 2015-01-28
BEIHANG UNIV
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the large amount of information in the 3D model, this also makes it take up too much memory space and run a heavy computational load in many applications, so a "compact" way is needed to represent the 3D model as completely and comprehensively as possible. Structural feature information

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
  • Organ skeleton extraction method based on medical images
  • Organ skeleton extraction method based on medical images
  • Organ skeleton extraction method based on medical images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] figure 1 An overall processing flow chart of the method for extracting organ skeletons based on medical images is given, and the present invention will be further described below in conjunction with other drawings and specific embodiments.

[0029] The present invention provides a method for extracting organ skeletons based on medical images, and the main steps are introduced as follows

[0030] 1. Method for extracting local feature structure of 3D data

[0031] The present invention uses differential geometry theory to analyze image features, and the structure tensor of image differential analysis can compactly describe the direction of image local material change and the transition relationship between materials. The Hessian matrix H can well represent the change of the surface normal, and then the Hessian matrix composed of the second derivative of the image can be used to describe the local geometric structure of the three-dimensional data.

[0032] The focus of ...

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 an organ skeleton extraction method based on medical images. On basis of utilization of digital imaging and communications in medicine (DICOM) format medical images, extraction of a complete organ skeleton is used as a target, study is performed by centering on local structure extraction based on structure tensor, point cloud model segmentation based on K-means fuzzy clustering and skeleton extraction method based on point cloud, firstly, three-dimensional data are read from the DICOM format medical images, the three-dimensional data are subjected to feature extraction according to local structure features of the three-dimensional data to obtain point cloud, then the obtained point cloud is subjected to model segmentation through K-means clustering, and finally, the obtained segmented point cloud is subjected to skeleton extraction.

Description

technical field [0001] The invention relates to a method for extracting organ skeletons based on medical images. Background technique [0002] With the wide application of computers in various industries, people began to be dissatisfied with only being able to display two-dimensional images, and hoped that computers could display a three-dimensional world with a strong sense of reality. With the development of computer graphics, virtual reality and other technologies, three-dimensional data has become another important form of multimedia data after images, audio and video. The three-dimensional data is obtained by using various acquisition instruments, which record various physical parameters on the surface of the finite body at discrete points. It includes the most basic information is the three-dimensional coordinates of each discrete point of the object, and others can include the surface color, transparency, texture features, etc. of the object. Due to the large amount...

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): G06T7/00G06K9/62
CPCG06T7/10G06T2207/30008G06F18/23213
Inventor 李帅张东波郝爱民秦洪
Owner BEIHANG UNIV
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