Unlock instant, AI-driven research and patent intelligence for your innovation.

Tooth and gingiva segmentation method, tooth segmentation method and electronic equipment

A technology for teeth and gums, applied in the field of clinical orthodontics, can solve problems such as accuracy dependence, inability to realize automatic production of braces, difficulty in ensuring accuracy, etc., and achieve the effect of high fault tolerance rate

Pending Publication Date: 2021-02-02
SHANGHAI SMARTEE DENTI TECH CO LTD
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing process of incising teeth, generally based on the experience of the designing doctor, the contour lines of each tooth are manually drawn or adjusted on the digital dental model, and the accuracy of this method depends on the degree of experience of the doctor, and the accuracy is not easy to guarantee
The existing method of manual incisors cannot realize the automatic production of braces, and cannot lay an important foundation for the realization of industrial automation and large-scale production

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Tooth and gingiva segmentation method, tooth segmentation method and electronic equipment
  • Tooth and gingiva segmentation method, tooth segmentation method and electronic equipment
  • Tooth and gingiva segmentation method, tooth segmentation method and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] The first embodiment of the present invention relates to a method for segmenting teeth and gums. Process such as figure 1 As shown, the details are as follows:

[0038] Step 101, acquiring data information of a digitized dental model to be segmented.

[0039]Specifically, the digital dental model can be obtained by scanning the patient's mouth. In practical applications, the patient's dental plaster model can also be made first, and then the digital dental model to be segmented can be obtained by scanning the dental plaster model. The model can be selected according to the actual application scenario, and is not limited here.

[0040] More specifically, the digital dental model can be as figure 2 As shown in the triangular patch model, it can be seen that the model includes a grid composed of a large number of triangular patches, and each triangular patch includes vertices and edges.

[0041] Step 102, selecting the first type of feature points on the digitized den...

Embodiment 2

[0074] The second embodiment of the present invention relates to a tooth-gingiva segmentation method. The second embodiment is roughly the same as the first embodiment, the main difference is that: in the first embodiment, when classifying the first type of feature points, manual classification is performed, while in the second embodiment of the present invention , through the automatic classification of the algorithm, which makes the classification of the first type of feature points faster and more accurate.

[0075] Specifically, in this embodiment, a clustering algorithm is used to classify the first type of feature points, and more specifically, a fuzzy c-means clustering algorithm (ie Fuzzy C-Means algorithm) can be used to classify the first type of feature points .

[0076] Set up the objective function:

[0077] Among them, U ij Represents the probability that the i-th feature point belongs to the j-th category (1≤i≤n, n is the number of feature points; j=1,2; 1 ...

Embodiment 3

[0088] The third embodiment of the present invention relates to a method for segmenting teeth and gums. The third embodiment is roughly the same as the first embodiment, the main difference is that in the first embodiment, the clustering algorithm is used to classify the second type of feature points, while in this embodiment, the graph cut algorithm is used to classify the second type of feature points Feature point classification provides another classification method, which makes this application more flexible and changeable. In practical applications, different algorithms can be selected for classification according to the actual situation.

[0089] Specifically, the method of classifying the second type of feature points using the graph cut algorithm is as follows:

[0090] When the segmentation of teeth and gums is L, its segmentation energy can be expressed as: E(L)=R(L)+B(L), R(L) is a region item, representing the second category on the digital dental model The proba...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention relates to the field of oral clinical orthodontics, and discloses a tooth gingiva segmentation method, a tooth segmentation method and electronic equipment. The tooth and gingiva segmentation method comprises the steps: acquiring data information of a to-be-segmented digital dental model, wherein the digital dental model is a triangular patch model; selecting a first type of feature points on the digital dental model; classifying the first type of feature points, and determining whether the first type of feature points belong to a tooth region or a gingival region; classifying the second type of feature points on the digital dental model according to the classification result of the first type of feature points, and determining that the second type of feature points belong to a tooth region or a gingival region; respectively combining the second type of feature points belonging to the tooth region and the second type of feature points belonging to the gingival region to obtain a segmented tooth region and a gingival region, wherein the second type of feature points are confirmed according to the vertexes of the triangular patch grids in the digital dental model, so that the teeth can be segmented more accurately.

Description

technical field [0001] The invention relates to the field of oral clinical orthodontics, in particular to a tooth and gum segmentation method, a tooth segmentation method and electronic equipment. Background technique [0002] Dental deformity is one of the three major diseases of the oral cavity and has a high prevalence rate. Traditional orthodontic treatment is mainly to set brackets and arch wires on the surface of the tooth list to play a role in orthodontic treatment, and to perform orthodontic treatment by twisting and pushing. For the sake of aesthetics, the appliance is transferred from the lip side to the lingual side, which cannot be seen from the outside. However, this method has higher requirements on the doctor, and the patient’s oral cavity is more damaged. Not only the foreign body sensation is enhanced, but also the cost is high. With the advancement of technology, invisible orthodontics are more and more accepted and used by patients. Invisible orthodontic...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T19/20G06K9/62
CPCG06T7/11G06T19/20G06T2207/30036G06F18/23G06F18/24Y02P90/30
Inventor 沈斌杰姚峻峰
Owner SHANGHAI SMARTEE DENTI TECH CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com