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

Automatic identifying method of artery plaque type based on ultrasonic image in blood vessel

A technology for automatic identification of arterial plaques, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as misclassification, and achieve the effect of changing limitations and accurate extraction

Inactive Publication Date: 2010-08-11
BEIJING UNIV OF TECH
View PDF0 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The general method is to use the gray values ​​produced by different echoes to distinguish different plaques, but this method has certain defects.
The echo intensity of dense fibrous plaque is similar to that of calcified plaque, and misclassification will occur simply by relying on the gray value of the plaque area

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
  • Automatic identifying method of artery plaque type based on ultrasonic image in blood vessel
  • Automatic identifying method of artery plaque type based on ultrasonic image in blood vessel
  • Automatic identifying method of artery plaque type based on ultrasonic image in blood vessel

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] A method for automatic identification of arterial plaque types based on intravascular ultrasound images. It basically lies in the following points:

[0040] According to the characteristics of IVUS plaque images, images of plaques and their peripheral regions were selected as classification features, and image classification information was extracted through K-L transformation;

[0041] Using support vector machine as a classification model, an optimal classifier suitable for plaque images is constructed after sample training.

[0042] Technical scheme of the present invention sees Figure 7 As shown, the above-mentioned plaque classification based on the IVUS plaque image using SVM includes the following steps:

[0043] Step 1. For the selected IVUS images of plaques, two images are extracted as identification features, one is the plaque area and the other is the peripheral area of ​​the plaque.

[0044] Step 2. Perform K-L transformation on the selected plaque imag...

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 relates to an automatic identifying method of artery plaque type based on an ultrasonic image in a blood vessel. The method comprises the following steps of: extracting two images of a plaque area and a plaque radial area as the classification feature with respect to the characteristics of plaque ultrasonic image in the artery blood vessel; extracting the image classification information via K-L conversion, mapping a plurality of features into a few comprehensive features, and reducing the space dimension of the features; and constructing a classifier suitable for the plaque image by using a support vector machine as the classification model, wherein the support vector machine classification method comprises a training stage and an identifying stage. The method improves the precision rate for identifying the plaque and provides an objectivity reference basis for clinically diagnosing the degree of blood vessels of coronary arteries.

Description

technical field [0001] The invention relates to the field of computerized medical image analysis, in particular to a method for classifying arterial plaques of intravascular ultrasound (IVUS) images. Through the feature selection and extraction of ultrasonic images of arterial plaques, the classification of arterial plaques is realized by using the support vector machine method, which provides an important reference for clinical diagnosis and treatment. Background technique [0002] Intravascular ultrasound (IVUS) can not only observe the morphological characteristics of the vessel wall and lumen, accurately measure the degree of stenosis of the vessel, but also guide the interventional treatment according to the different properties of the plaque, and at the same time, carry out the interventional treatment of the coronary artery. Immediate evaluation can reduce the incidence of coronary restenosis. Atherosclerotic plaque rupture and secondary thrombosis are the main cause...

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): G06K9/00G06K9/64
Inventor 汪友生胡百乐舒毓张丽杰陈诗典陈建新
Owner BEIJING UNIV OF TECH
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