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

Normal corrosion and random walk based fracture adhesion segmentation method

A random walk and normal vector technology, applied in the field of three-dimensional segmentation of medical images, can solve the problems of energy-consuming and time-consuming, and achieve the effect of preventing wrong segmentation

Active Publication Date: 2018-07-06
ZHEJIANG UNIV
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Manual segmentation is labor-intensive and time-consuming, so a method that can automatically segment adhesive bones is needed

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
  • Normal corrosion and random walk based fracture adhesion segmentation method
  • Normal corrosion and random walk based fracture adhesion segmentation method
  • Normal corrosion and random walk based fracture adhesion segmentation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. The following examples are intended to illustrate the present invention, but not to limit the scope of the present invention.

[0045] like figure 1 Shown is the flow chart of the fracture adhesion segmentation method based on normal corrosion and random walk provided by the present invention. It includes the following steps:

[0046] (1) Model preprocessing

[0047] Various operations on the model in the present invention are performed by using a binary mask, and the following models all refer to mask data representing a three-dimensional voxel model. The 3×3×3 template is used to filter the average value of the 3D model to prevent the surface of the model from having too many subtle fluctuations, which will affect the calculation of the normal vector.

[0048] (2) Interactively select random walk regions and extra...

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 normal corrosion and random walk based fracture adhesion segmentation method, and aims at separating adhesion bones after fracture. The method comprises the following steps that (1) a model is preprocessed, the surface of the model is smoothed, and a calculating error of a normal vector is reduced; (2) a random walk area is selected interatively, and a voxel of an adhesion area is extracted; (3) on the basis of normal corrosion, whether a present point is corroded is determined according to the positional relation of a neighborhood voxel and the normal direction; (4)communicated areas are marked, and areas not communicated with each other after corrosion are marked; and (5) the segmentation areas are restored by expansion, and details of the original model are restored. According to the provided adhesion bone segmentation method, only voxels of higher curvature are corroded, oversegmentation can be prevented effectively, and adhesion broken bones can be separated more accurately.

Description

technical field [0001] The invention belongs to the field of three-dimensional segmentation of medical images, and relates to a method for segmentation of adherent bones after fracture in medical three-dimensional images, in particular to a method for segmentation of fracture adhesions based on normal corrosion and random walk. Background technique [0002] Image segmentation is an important step in medical image processing and analysis, and it is a classic problem in the fields of image processing and computer vision. 3D segmentation of medical images has always been a research hotspot in the field of medical image analysis. In 3D medical fracture images, the displaced bones are often glued together without being completely separated. Usually, the broken bones need to be manually segmented before subsequent reduction operations can be performed. Manual segmentation is labor-intensive and time-consuming, so a method that can automatically segment the adherent bones is neede...

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): G06T7/00G06T7/11G06T5/30
CPCG06T5/30G06T7/0012G06T7/11G06T2207/20156G06T2207/30008
Inventor 童若锋张月吕敏达
Owner ZHEJIANG 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