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Method and device for structuring and grading tubular structure blood vessel and electronic equipment

A tubular structure and structured technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of indistinguishability and low accuracy, and achieve the effect of improving the grading accuracy

Active Publication Date: 2021-10-19
INFERVISION MEDICAL TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method is difficult for tube-shaped blood vessels with a large number, large size difference, and complex network structure, such as pulmonary blood vessels. distinction, making the method less accurate for the structured classification of small-sized intrapulmonary vessels

Method used

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  • Method and device for structuring and grading tubular structure blood vessel and electronic equipment
  • Method and device for structuring and grading tubular structure blood vessel and electronic equipment
  • Method and device for structuring and grading tubular structure blood vessel and electronic equipment

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Embodiment Construction

[0051]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making ...

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Abstract

The invention provides a method and device for structuring and grading a tubular structure blood vessel and electronic equipment, and the method for structuring and grading the tubular structure blood vessel comprises the steps: carrying out the distance transformation of a tubular structure blood vessel image, and obtaining a distance transformation result of each pixel point in the tubular structure blood vessel image; carrying out region growing based on the distance transformation result to obtain a mediastine image, and carrying out subtraction operation on the tubular structure blood vessel image and the mediastine image to obtain an intrapulmonary blood vessel image; extracting a center line of the intrapulmonary blood vessel image; performing line segment extraction based on the center line and a hierarchical line segment hierarchical relationship to obtain a center line structure image; and mapping the midline structure image to the tubular structure blood vessel image to obtain the structured hierarchical tubular structure blood vessel. The grading precision of the tubular structure blood vessel can be improved.

Description

technical field [0001] The present invention relates to the technical field of blood vessel grading, in particular to a method, device and electronic equipment for structurally grading tubular structure blood vessels. Background technique [0002] The CT image of tubular structure blood vessels obtained by computer tomography (CT, Computed Tomography) scanner contains a large amount of pathological information, but because the tubular structure blood vessels contain a large number of structures with uneven thickness, it is necessary to classify the tubular structure through structural classification. The physiological and anatomical structures of structural blood vessels are quantified and graded, so that the three-dimensional reconstruction of tubular structural blood vessels can be performed based on the quantified structured grades, which is conducive to the precise positioning of pathological information. [0003] At present, the segmentation model based on deep learning...

Claims

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Application Information

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IPC IPC(8): G06T7/136G06T7/11G06T7/00
CPCG06T7/136G06T7/11G06T7/0012G06T2207/10081G06T2207/30101G06T2207/30172G06T2207/10088
Inventor 刘恩佑张欢王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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