Blood vessel extracting method

An extraction method and blood vessel technology, which is applied in the field of medical tomographic image processing, can solve the problems of blood vessel segmentation failure, confusion of blood vessels and bones, etc., and achieve the effect of strong adaptability and correct extraction

Active Publication Date: 2014-11-26
SHANGHAI UNITED IMAGING HEALTHCARE
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, general algorithms such as region growth, level set, etc. can easily confuse blood vessels and bones, resulting in failure of blood vessel segmentation

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
  • Blood vessel extracting method
  • Blood vessel extracting method
  • Blood vessel extracting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described here, and those skilled in the art can make similar extensions without violating the connotation of the present invention, so the present invention is not limited by the specific implementations disclosed below.

[0034] Secondly, the present invention is described in detail by means of schematic diagrams. When describing the embodiments of the present invention in detail, for convenience of explanation, the schematic diagrams are only examples, which should not limit the protection scope of the present invention.

[0035] The invention proposes a level-set-based self-adaptive tracking method for tubular structures, which can quickly and effectively realize the extraction of cranial blood vessels. The method can also be applied to MR...

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 blood vessel extracting method comprising the steps of determining the starting point of a blood vessel, determining a plurality of blood vessel sections of the blood vessel along the direction of the blood vessel by starting from the starting point of the blood vessel, and connecting the blood vessel sections to extract the blood vessel. The tubular structure adaptive tracking method based on a level set has higher adaptability. The resolution of the blood vessel sections is automatically adjusted according to the scale of the blood vessel. The method is applicable to extraction of blood vessels of different scales, and enables rapid and accurate extraction of complex blood vessels of the head and neck region, such as internal carotid artery and vertebral artery, to be realized.

Description

technical field [0001] The invention relates to a processing method of medical tomography images, in particular to a blood vessel extraction method. Background technique [0002] Computed Tomography Angiography (CTA for short) is one of the important methods for diagnosing vascular diseases at present. However, since the blood vessels in the CTA image overlap with the CT values ​​of other tissues such as bones, extracting the blood vessels from other tissues is a key step in angiography. [0003] US Literature 1: Olivier Cuisenairea, Sunny Virmanib, Mark E.Olszewskib, Roberto Ardona. Fully automated segmentation of carotid and vertebral arteries from contrast enhanced CTA.Proc.of SPIE Vol.6914, 69143R, (2008) provides a model-based Methods: Firstly, the CTA images are registered with the existing blood vessel models to obtain the starting points of different blood vessels, and then the starting points are connected by an algorithm to obtain the centerline of the blood vesse...

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): G06T7/00A61B6/03A61B5/055
Inventor 王晓东李程毛玉妃
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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