Region segmentation method and device for three-dimensional medical model data and storage medium

A technology of area segmentation and model data, applied in the field of digital medicine, can solve the problems of low efficiency and noise sensitivity, and achieve the effect of simple equipment, easy operation and high practical value

Pending Publication Date: 2020-03-27
北京灵医灵科技有限公司
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However, these methods are sensitive to noise and have low efficiency, so th

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  • Region segmentation method and device for three-dimensional medical model data and storage medium
  • Region segmentation method and device for three-dimensional medical model data and storage medium
  • Region segmentation method and device for three-dimensional medical model data and storage medium

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[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0021] Such as figure 1 As shown, the region segmentation method of three-dimensional medical model data in the embodiment of the present invention includes the following steps:

[0022] S1: Obtain the medical image of the patient, and perform three-dimensional reconstruction of the medical image through the isosurface algorithm to obtain three-dimensional medical mesh model data.

[0023] In an embodiment of the present invention, the medic...

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Abstract

The invention provides a region segmentation method and device for three-dimensional medical model data and a storage medium, and the method comprises the following steps: obtaining a medical image ofa patient, carrying out the three-dimensional reconstruction of the medical image through a contour surface algorithm, and obtaining three-dimensional medical grid model data; converting the three-dimensional medical grid model data into a corresponding dual graph form, and setting the edge weight of the graph according to the distance between the triangular patches on the three-dimensional medical grid model data; performing approximate farthest point sampling on the dual graph to obtain a plurality of seed points; operating a clustering algorithm based on pruning on the dual graph, and determining an area controlled by each seed point; and merging the adjacent classes one by one according to a minimum merging cost principle, and determining a segmentation result according to the numberof the remaining classes selected by the user. The method is faster, more efficient, accurate in segmentation effect, easy and convenient to operate, simple in used equipment, low in cost and high inpractical value.

Description

technical field [0001] The invention relates to the field of digital medical technology, in particular to a method for segmenting three-dimensional medical model data, a device for segmenting three-dimensional medical model data, and a non-temporary computer-readable storage medium. Background technique [0002] In the process of surgical operation design, doctors usually need to carefully observe certain tissues and organs of the patient in order to design an accurate surgical plan. For images obtained by high-precision electronic computer tomography or nuclear magnetic resonance technology, the three-dimensional structure of the tissue and organ of interest can be reconstructed according to the isosurface, or the volume rendering algorithm can be used to present the user with the area they want to observe. However, none of these methods can enable doctors to observe the substructure of a certain tissue and organ in an all-round way, so that it is impossible to design an ac...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T17/20
CPCG06T7/0012G06T7/11G06T17/20G06T2207/10072G06T2207/30004Y02A90/30
Inventor 陈莉王昭林海晓
Owner 北京灵医灵科技有限公司
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