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A method and system for cardiac segmentation of CT images based on artificial intelligence

A CT image and artificial intelligence technology, applied in the field of medical image processing, can solve the problem of the segmentation effect not meeting expectations, and achieve the effect of improving the segmentation effect and reducing the influence of noise.

Active Publication Date: 2022-07-08
ZHUHAI PEOPLES HOSPITAL GUANGDONG PROVINCE
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Commonly used techniques can be realized by techniques such as threshold segmentation, neural network segmentation, region growing or Hough transform, but because of the grayscale features and ambiguity of CT images, there will be a lot of noise and background in the segmentation process, resulting in The segmentation effect will not meet expectations

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  • A method and system for cardiac segmentation of CT images based on artificial intelligence
  • A method and system for cardiac segmentation of CT images based on artificial intelligence
  • A method and system for cardiac segmentation of CT images based on artificial intelligence

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Embodiment Construction

[0036] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following describes an artificial intelligence-based CT image cardiac segmentation method and system proposed by the present invention with reference to the accompanying drawings and preferred embodiments. The specific embodiments, structures, features and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0038] The specific scheme of an artificial intellig...

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Abstract

The present invention relates to the technical field of medical image processing, in particular to a CT image heart segmentation method and system based on artificial intelligence. The method obtains the first confidence image through the semantic segmentation network. The to-be-processed area image in the first confidence level image is obtained according to the magnitude of the confidence level. The reference image of the to-be-processed area is obtained according to the neighborhood image of the to-be-processed area image in the area corresponding to the CT image. A second confidence level image corresponding to the reference image of the area to be processed is obtained, and the change sensitivity degree is obtained according to the difference between the image of the to-be-processed area and the second confidence level image. The class probability in the image to be processed is adjusted according to the sensitivity type reflected by the change sensitivity degree, and the identification label is determined. A heart image is obtained by segmenting the CT image according to the identification label. The invention reduces the influence of noise by optimizing the class probability, and realizes accurate image segmentation.

Description

technical field [0001] The present invention relates to the technical field of medical image processing, in particular to a CT image heart segmentation method and system based on artificial intelligence. Background technique [0002] CT images are typical medical images and are often used to detect the health status of human internal organs, especially the heart. In order to make an effective judgment on the health status of the heart, the heart region is segmented and a separate health analysis is performed. The segmentation of the cardiac region can provide clear anatomical information for clinical diagnosis, and can provide surgical basis for future cardiac surgery planning. [0003] With the development of image processing technology and machine learning technology, the segmentation of CT images can be automatically segmented by computers through various algorithms, avoiding errors and costs caused by artificial image segmentation. Commonly used techniques can be imple...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/26G06V10/776G06V10/778G06V10/774G06K9/62
CPCG06F18/217G06F18/214
Inventor 于向荣曹勃玲李伟董丹丹刘秀娟
Owner ZHUHAI PEOPLES HOSPITAL GUANGDONG PROVINCE