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

Automatic level set segmentation method and device for blood vessel images

A level set segmentation, blood vessel image technology, applied in image analysis, image enhancement, image data processing and other directions

Active Publication Date: 2019-09-10
深圳市阅影科技有限公司
View PDF6 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method and device for automatic level set segmentation of blood vessel images, to at least solve the technical problem in the related art that traditional global threshold level sets cannot be used to accurately model coronary arteries

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 level set segmentation method and device for blood vessel images
  • Automatic level set segmentation method and device for blood vessel images
  • Automatic level set segmentation method and device for blood vessel images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] According to an embodiment of the present invention, a method embodiment of an automatic level set segmentation method for a blood vessel image is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be implemented in a computer system such as a set of computer-executable instructions and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0042] figure 1 is a flowchart of an automatic level set segmentation method for blood vessel images according to an embodiment of the present invention, such as figure 1 As shown, the automatic level set segmentation method of the blood vessel image includes the following steps:

[0043] Step S102, obtaining an initial blood vessel model, wherein the initial blood vessel model is determined based on the centerline of the blood vessel corresponding to the initial bl...

Embodiment 2

[0080] According to another aspect of the embodiments of the present invention, an embodiment of an apparatus for realizing the above automatic level set segmentation method for blood vessel images is also provided, Figure 8 is a schematic diagram of an automatic level set segmentation device for blood vessel images according to an embodiment of the present invention, such as Figure 8 As shown, the apparatus for automatic level set segmentation of blood vessel images includes: an acquisition unit 81 and a segmentation unit 83 . The device for automatic level set segmentation of blood vessel images will be described in detail below.

[0081] The obtaining unit 81 is configured to obtain an initial blood vessel model, wherein the initial blood vessel model is determined based on a centerline of a blood vessel corresponding to the initial blood vessel model and a radius function, and the radius function is used to describe a blood vessel area.

[0082] The segmentation unit 83...

Embodiment 3

[0093] According to another aspect of the embodiments of the present invention, a storage medium is provided, and the storage medium includes a stored program, wherein the program executes any one of the methods for automatic level set segmentation of blood vessel images.

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 an automatic level set segmentation method and device for a blood vessel image. The method comprises the steps that an initial blood vessel model is acquired, the initial bloodvessel model is determined based on a center line and a radius function of a blood vessel corresponding to the initial blood vessel model, and the radius function is used for describing a blood vessel area; and on the basis of the local lumen statistical model, level set segmentation is carried out on the initial blood vessel model to obtain a segmented blood vessel model, the local lumen statistical model comprises a lumen threshold of a cross section of a blood vessel along a central line. The technical problem that in the prior art, a traditional global threshold level set cannot achieve accurate modeling of coronary artery blood vessels is solved.

Description

technical field [0001] The invention relates to the technical field of coronary artery CT angiography image processing in computer-aided medical treatment, in particular to an automatic level set segmentation method and device for blood vessel images. Background technique [0002] It is of great clinical value and practice to extract important human blood vessel forms such as blood vessels (for example, arterial blood vessels) in certain structures of the human body from three-dimensional medical image sequences such as computerized tomography (CT for short), nuclear magnetic resonance, or vascular ultrasound. significance. CT contrast image segmentation and target contour extraction are of great significance for image understanding, image analysis, pattern recognition, computer vision, etc. The Level Set method proposed by Osher et al. is a specific implementation method for solving implicitly expressed partial differential equations. It transforms the problem of curve evo...

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): G06T7/00G06T7/11G06T7/136
CPCG06T7/0012G06T7/136G06T7/11G06T2207/30101
Inventor 王纯亮张超赵清华毛益进
Owner 深圳市阅影科技有限公司
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