A Method of Ultrasound Image Segmentation Based on Shape-Dependent Active Contour Model

An active contour model and ultrasound image technology, which is applied in the ultrasound image segmentation based on the shape-dependent active contour model, in the field of ultrasound image sequence segmentation of soft tissue, and can solve the problem of large shape change, uneven image gray distribution, soft tissue deformation, etc. question

Inactive Publication Date: 2017-05-31
WUHAN UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] (1) Compared with CT and MRI images, ultrasound images generally have the characteristics of low signal-to-noise ratio and uneven distribution of image gray levels, which cause blurred target edge contours;
[0004] (2) Another potential challenge is the deformation of the soft tissue caused by extrusion, which is reflected in the ultrasonic image that the shape of the target area changes greatly;
[0005] These reasons have caused some traditional segmentation methods to fail to obtain ideal results in the above situations.

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
  • A Method of Ultrasound Image Segmentation Based on Shape-Dependent Active Contour Model
  • A Method of Ultrasound Image Segmentation Based on Shape-Dependent Active Contour Model
  • A Method of Ultrasound Image Segmentation Based on Shape-Dependent Active Contour Model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the examples. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0034] The technical scheme adopted in the present invention is: a kind of ultrasonic image segmentation method based on shape correlation active contour model, comprises the following steps:

[0035] Step 1: Aiming at the correlation information between the shape changes of the lesion area in the continuous ultrasound image sequence (the shape correlation information mainly refers to the change of the outline shape of the lesion area in an ultrasound image sequence having a certain similarity under the unified coordinate system property) to mine and build a low-rank model of shape...

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 method for segmenting ultrasonic images on the basis of shape correlation active contour models. The method includes steps of 1, mining information of correlation between shape change of lesion regions in the continuous ultrasonic images and building low-rank shape correlation models; 2, building the active contour models on the basis of low-rank constraint; 3, creating augmented-Lagrange-based optimization algorithms for quickly computing segmentation results. The method has the advantage that the problem of inaccurate segmentation results of the traditional segmenting method on the basis of supervised statistical learning under the conditions of insufficient training sets, edge blur of lesion regions in existing ultrasonic images and deformation of the lesion regions in the existing ultrasonic images can be solved.

Description

technical field [0001] The invention belongs to the field of ultrasonic image processing in computer-aided therapy, in particular to an ultrasonic image segmentation method based on a shape-dependent active contour model, which is an ultrasonic image sequence segmentation method for soft tissues. Background technique [0002] An accurate and efficient ultrasound image segmentation method is of great significance for improving the efficiency of computer-assisted therapy. There are currently two main challenges: [0003] (1) Compared with CT and MRI images, ultrasound images generally have the characteristics of low signal-to-noise ratio and uneven distribution of image gray levels, which cause blurred target edge contours; [0004] (2) Another potential challenge is the deformation of the soft tissue caused by extrusion, which is reflected in the ultrasonic image that the shape of the target area changes greatly; [0005] For these reasons, some traditional segmentation met...

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 Patents(China)
IPC IPC(8): G06T7/10
CPCG06T7/149G06T2207/30004
Inventor 何发智倪波陈晓
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products