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

Rapid 3D blood vessel boundary segmenting method and system

A blood vessel and boundary technology, applied in the fields of medical detection and medical image processing, can solve problems such as instability, low efficiency of manual segmentation, and inability to rule out lumen branches

Active Publication Date: 2017-09-05
SHANGHAI JIAO TONG UNIV
View PDF11 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to overcome the deficiencies of the prior art, provide an efficient and accurate three-dimensional segmentation method and system for blood vessel boundaries, avoid the low efficiency and instability of manual segmentation and the shortcomings of existing automatic segmentation methods that cannot eliminate lumen branches

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
  • Rapid 3D blood vessel boundary segmenting method and system
  • Rapid 3D blood vessel boundary segmenting method and system
  • Rapid 3D blood vessel boundary segmenting method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0098] Such as figure 1 , is a flow chart of the fast three-dimensional segmentation method for blood vessel boundaries implemented in the present invention. Firstly, the original OCT image is obtained and preprocessed. The preprocessing includes filtering and denoising and using a fixed mask to remove useless information in the periphery of the image. Then, the image was transformed into polar coordinates, and the guide wire and catheter artifacts in the original OCT image were removed according to the obtained image. Then, the lumen center in the original OCT image is found by using the fast wavefront diffusion algorithm. Then the polar coordinate transformation is carried out according to the obtained lumen center, and the lumen boundary is quickly extracted by the method of dynamic programming. Finally, the extracted boundary curve in the polar coordinate system is inversely transformed back to the boundary curve in the OCT original image coordinate system.

[0099] Com...

Embodiment 2

[0182] Below, combine Figure 9 , the fast three-dimensional segmentation system of the blood vessel boundary in this embodiment will be described. The system includes:

[0183] A preprocessing module, which preprocesses the acquired image;

[0184] Coordinate transformation module 1 takes the center of the image as the origin of polar coordinates, and converts the image into an image in the polar coordinate system;

[0185] Image artifact removal module: determine the artifacts in the image, and remove the artifacts from the image transformed into the polar coordinate system after determining the center of the lumen; the artifacts include catheter and guide wire artifacts;

[0186] Lumen center positioning module: determine the center of the vessel lumen in the original image;

[0187] Coordinate transformation module 2: convert the image of the determined center of the lumen of the blood vessel into an image in the polar coordinate system with the center of the lumen as t...

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 rapid 3D blood vessel boundary segmenting method and system. The system comprises a preprocessing module, a first coordinate transformation module which transforms an image into an image under a polar coordinate system, an image artifact identification module which determines an artifact in the image and generates an artifact mask image, a vessel cavity center locating module which determines a blood vessel cavity center in the original image, a second coordinate transformation module which transforms the determined image of the blood vessel cavity center into a new image under the polar coordinate system, and removes an artifact from the new image according to the artifact mask image, a vessel cavity boundary extracting module which generates an energy consumption image according to the artifact removed image and determines a blood vessel boundary of the image under the polar coordinate system, and an inverse coordinate transformation module which transforms the blood vessel boundary of the image under the polar coordinate system into a blood vessel boundary curve under the coordinate system of the original image. Thus, artifacts of guide wires and forking of blood vessels in the image can be identified and eliminated effectively, and thus, rapid accurate 3D blood vessel boundary segmentation is realized.

Description

technical field [0001] The invention relates to a blood vessel three-dimensional reconstruction method based on an optical coherence tomography image, and belongs to the field of medical image processing and medical detection technology. Background technique [0002] Optical coherence tomography (OCT) is an emerging high-resolution tomography technique. Similar to the principle of intravascular ultrasound (Intravascular Ultrasound, IVUS), this technology uses near-infrared rays as the light source, uses the interference law of light waves to perform imaging, and converts the optical signal of the beam scanning the tissue into an electrical signal, which is displayed as a gray image or a pseudo image after computer processing. 2D and 3D images of colormaps. Because the wavelength of light is shorter than that of sound waves, optical coherence tomography has higher resolution, up to 10-20um. [0003] Blood vessel segmentation and reconstruction based on optical coherence tom...

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): G06T7/11G06T7/13G06T11/00
CPCG06T7/11G06T7/13G06T11/008G06T2207/10101
Inventor 黄佳悦涂圣贤余炜张素
Owner SHANGHAI JIAO TONG 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