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

Digital biological organism modeling method based on three-dimensional super voxel description

A modeling method and super-voxel technology, applied in the field of image processing medicine, can solve the problems of high localization of two-dimensional plane information segmentation, loss of information, long calculation time, etc., to improve real-time performance and visibility, Improve speed and precision, improve the effect of accuracy

Inactive Publication Date: 2017-04-19
OCEAN UNIV OF CHINA
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Existing 3D reconstruction methods still have limitations to a certain extent. Surface rendering details are relatively rough, and the internal structure of the rendering object cannot be displayed; volume rendering methods are complex, involving complex calculations such as lighting models, reflections, and projections. Long calculation time, almost impossible to achieve real-time processing; two-dimensional plane information segmentation reflects a high degree of localization, thus losing part of the information between adjacent frames

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
  • Digital biological organism modeling method based on three-dimensional super voxel description
  • Digital biological organism modeling method based on three-dimensional super voxel description
  • Digital biological organism modeling method based on three-dimensional super voxel description

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the content and advantages of the present invention clearer, the specific implementation process of the present invention will be described in detail below through specific embodiments and with reference to the accompanying drawings.

[0030]my country is the largest fish farming country in the world. Since the reform and opening up, my country's fishery has adjusted its development focus and established a development policy based on farming. The fish farming industry has developed rapidly and the industrial layout has undergone major changes. Expand to all parts of the country. At the same time, our country has rich marine fishery resources. In the total output value of the national marine economy, the output value of marine aquaculture accounts for about 30%. It can be seen that fishery plays a decisive role in the development of my country's marine economy. Therefore, the assessment of healthy fish stocks is very important.

[0031] In this embodim...

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 digital biological organism modeling method based on three-dimensional super voxel description. The method comprises the following steps of firstly, carrying out format conversion, binaryzation and other preprocessing on an original medical image of an organism so as to acquire a physiological-structure peripheral region to be segmented; secondly, reconstructing a two-dimensional image sequence of the physiological-structure peripheral region to be segmented to a three-dimensional space, and using a super voxel algorithm to divide a three-dimensional image into super voxels whose sizes are similar to each other; and then, through a graph-cut algorithm based on a Gaussian mixture model, automatically segmenting the super voxels into two portions of a foreground and a background; and finally, using a surface rendering method to reconstruct the super voxels which belong to a foreground type in the three-dimensional space so as to acquire three-dimensional display of a physiological structure area to be segmented and three-dimensional display of the area in the whole organism. By using the method of the invention, a negative effect of other portions of the organism on a segmentation result is reduced; time is saved; robustness of the algorithm is increased and computation complexity of graph cut is reduced; and segmentation accuracy is increased.

Description

technical field [0001] The invention relates to the medical field of image processing, and more particularly relates to a digital physiological organism modeling method based on three-dimensional supervoxel description. Background technique [0002] The combination of medicine, information technology and computing technology, and the digitalization of biological information have become hot and frontier issues in current scientific research and application. Using information technology to realize the digitization and visualization of organisms, and finally to realize the overall accurate simulation of organisms, will have an incalculable impact on the development of medicine, biology and other organism-related disciplines. [0003] The first image dataset of a complete person (a man and a woman) was created in 1995 by the Visible Human Project (VHP) in the United States. In order to promote global application-oriented research on digitally visualized human bodies, more digit...

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): G06T17/00G06T19/20
CPCG06T17/00G06T19/20G06T2210/41
Inventor 年睿徐晓胡浩基孙明杰艾庆辉李宜聪
Owner OCEAN UNIV OF CHINA
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