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Orbital bone tissue segmentation method based on body registration

A bone tissue and orbital technology, which is applied in the field of orbital bone tissue segmentation based on body registration, can solve the problem of segmentation accuracy dependence, and achieve the effect of improving segmentation effect, high segmentation accuracy, and simple and fast method.

Active Publication Date: 2019-12-13
CENT SOUTH UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

The segmentation accuracy of the atlas segmentation method depends on the registration results in the early stage and the selection of the markers in the later stage, which is also a major challenge for the atlas segmentation method

Method used

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  • Orbital bone tissue segmentation method based on body registration
  • Orbital bone tissue segmentation method based on body registration
  • Orbital bone tissue segmentation method based on body registration

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Embodiment Construction

[0038] Such as figure 1 Shown is the schematic flow chart of the method of the present invention: the orbital bone tissue segmentation method based on volume registration provided by the present invention comprises the following steps:

[0039] S1. Acquire CT images that need to be segmented into orbital bone tissue;

[0040] S2. Process the CT image obtained in step S1 and the standard data of the tetrahedral mesh model of the orbital bone tissue, thereby obtaining the three-dimensional skull voxel coordinates and the standard data of the tetrahedral mesh model of the orbital bone tissue after marking; specifically, adopt Process as follows:

[0041] A. Extract the three-dimensional skull voxel coordinates according to the threshold intensity of the CT image data;

[0042] In specific implementation, 3-neighborhood, 5-neighborhood and 9-neighborhood operations can be used to determine the three-dimensional skull voxel coordinates; Get the centroid coordinates of the neighb...

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Abstract

The invention discloses an orbital bone tissue segmentation method based on body registration. The method comprises: acquiring a CT image needing orbital bone tissue segmentation; processing the CT image and the tetrahedral mesh model standard data of the orbital bone tissue; performing initial alignment on the processed data; transforming the tetrahedral mesh data after initial alignment; whereinthe transformed tetrahedral mesh data is final orbit bone tissue data obtained by segmentation from the CT image. According to the orbital bone tissue segmentation method based on body registration provided by the invention, innovative down-sampling operation is adopted in a data processing stage, so that the influence of noise data on registration and segmentation results is reduced while the sampling efficiency is improved. Meanwhile, shape deformation is completed in an error driving mode in the transformation process, the segmentation effect of orbital bone tissue is improved, and the method is high in segmentation precision, simple and rapid.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for segmenting orbital bone tissue based on volume registration. Background technique [0002] Three-dimensional medical image bone tissue segmentation has very important research value in the field of medical image processing. Accurate medical image segmentation provides clear anatomical information for clinical diagnosis, which is used for further analysis and calculation of its pathology, physiology, anatomy, etc. . Medical image segmentation technology is a method to classify pixels or voxels according to the observed gray value and known structural information. Traditional medical image segmentation requires domain experts to perform manual segmentation, which has the disadvantages of time-consuming, irreproducible segmentation results, costing a lot of human resources, and low efficiency. At present, the automatic segmentation of bone tissue is mainly ...

Claims

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Application Information

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IPC IPC(8): G06T7/10G06T7/30G06K9/62
CPCG06T7/10G06T7/30G06T2207/10081G06T2207/30041G06F18/2135
Inventor 廖胜辉张凡荣刘姝
Owner CENT SOUTH UNIV
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