Alveolar bone contour prediction model generation method and device, and a prediction method and devic

A technology for predicting models and alveolar bones, applied in the field of image processing

Active Publication Date: 2022-02-15
SICHUAN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

There is currently a lack of a scientifically sound method

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  • Alveolar bone contour prediction model generation method and device, and a prediction method and devic
  • Alveolar bone contour prediction model generation method and device, and a prediction method and devic
  • Alveolar bone contour prediction model generation method and device, and a prediction method and devic

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Embodiment Construction

[0035] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0036] see figure 1 , a structural block diagram of an electronic device 100 for applying a method for generating an alveolar bone contour prediction model and / or an alveolar bone contour prediction method provided in an embodiment of the present application. In the embodiment of the present application, the electronic device 100 may be a terminal or a server, and the terminal may be, but not limited to, a personal computer (Personal Computer, PC), a smart phone, a tablet computer, a personal digital assistant (Personal Digital Assistant, PDA), a mobile Internet Equipment (Mobile Internet Device, MID), etc. The server may be, but not limited to, a web server, a database server, a cloud server, or an integrated server composed of multiple sub-servers. Of course, the devices listed above are only us...

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Abstract

The invention provides an alveolar bone contour prediction model generation method and device, and a prediction method and device. The alveolar bone contour prediction model generation method comprises the following steps: acquiring training sample data, wherein the training sample data comprises a feature image before correction, correction parameters and deformation quantities of upper and lower alveolar cavity contour lines after correction based on the correction parameters; taking correction parameters, a control point of an upper alveolar lingual side contour line before correction, a control point of an upper alveolar labial side contour line before correction, a control point of a lower alveolar lingual side contour line before correction, a control point of a lower alveolar labial side contour line before correction, a contour of upper incisors before correction and a contour of lower incisors before correction as input of an initial network model; performing supervised training by taking the corrected deformation quantity of the upper and lower alveolar contour lines as the output of the initial network model to obtain an alveolar bone contour prediction model. The alveolar bone after orthodontics can be scientifically and reasonably predicted through the obtained alveolar bone contour prediction model.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular, to a method for generating an alveolar bone contour prediction model, a prediction method and a device. Background technique [0002] The range of orthodontic tooth movement should be limited to the alveolar bone. Tooth movement beyond the alveolar bone can cause bone fenestration and bone cracking, especially in the anterior region, as a side effect of orthodontics. However, the inventors have found in actual research that the shape of the alveolar bone is not static, and it will remodel along with the movement of the teeth. The mode by which the alveolar bone moves with the tooth is unknown. A scientifically sound method for predicting alveolar bone morphology after orthodontics is currently lacking. Contents of the invention [0003] The purpose of the embodiments of the present application is to provide a method for generating an alveolar bone contour pr...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/181G06N3/04G06N3/08A61C7/00A61C19/04
CPCG06T7/0012G06T7/181A61C19/04A61C7/002G06N3/08G06T2207/20081G06T2207/20084G06T2207/30036G06N3/045
Inventor 李宇唐振兴宋万忠
Owner SICHUAN UNIV
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