CN-122005128-A - Complete denture generation method, electronic device, and computer-readable storage medium

CN122005128ACN 122005128 ACN122005128 ACN 122005128ACN-122005128-A

Abstract

The application provides a complete denture generation method, electronic equipment and a computer readable storage medium, and relates to the technical field of digital oral cavity. The method comprises the steps of obtaining a three-dimensional model of a toothless jaw of a user, facial scanning data and oral scanning data, extracting upper and lower jaw characteristic information of the three-dimensional model of the toothless jaw, obtaining a target natural dentition model from a natural dentition database based on the upper and lower jaw characteristic information of the three-dimensional model of the toothless jaw, and calibrating the target natural dentition model based on the facial scanning data and the oral scanning data to obtain the three-dimensional model of the complete denture. According to the application, the corresponding dentition is matched in the natural dentition database, so that the complete denture is manufactured on the basis of the dentition obtained by matching and screening, compared with the traditional complete denture manufacturing method, the complete denture manufacturing method is quicker and more accurate, the clinical operation links are reduced, the manufacturing period is saved, and the manufacturing efficiency of the complete denture and the generated adaptation degree of the complete denture and a user are obviously improved.

Inventors

Wan qianbing
SUN HUIJIA
LI RUYI
Zhang Aochu
LI PENGFEI
MAO YUCHEN
Hu Yuanxiaojuan
Gou Shiyi
SONG WANZHONG

Assignees

四川大学

Dates

Publication Date: 20260512
Application Date: 20260326

Claims (10)

1. A complete denture generation method, comprising: acquiring a toothless jaw three-dimensional model, facial scanning data and oral scanning data of a user; extracting the characteristic information of the upper and lower jaws of the toothless jaw three-dimensional model; acquiring a target natural dentition model from a natural dentition database based on the maxillary and mandibular characteristic information of the toothless three-dimensional model, wherein the natural dentition database comprises a plurality of natural dentition models and the maxillary and mandibular characteristic information of each natural dentition model; And calibrating the target natural dentition model based on the facial scanning data and the oral scanning data to obtain a complete denture three-dimensional model, wherein the complete denture three-dimensional model is used for three-dimensionally printing and obtaining the complete denture of the user.
2. The method according to claim 1, wherein the extracting of the maxillary and mandibular feature information of the toothless three-dimensional model comprises: determining a first occlusal plane of the toothless jaw three-dimensional model; Taking a connecting line of the incisor mastoid process and the palate center seam as a maxillary midline, taking a straight line which passes through a preset distance in front of the incisor mastoid process and is parallel to the first occlusal plane as a front boundary line, and connecting a maxillary alveolar ridge crest line as a maxillary alveolar ridge crest curve; And projecting the upper jaw midline to the lower jaw as a lower jaw midline, taking a connecting line connecting midpoints of left and right molar rear pads of the lower jaw as a rear end boundary line, and connecting an alveolar ridge crest line of the lower jaw as a mandibular alveolar ridge crest curve.
3. The method according to claim 1, wherein the method further comprises: Collecting a plurality of natural dentition models; Performing dental position segmentation processing on each natural dentition model, determining key points based on the segmented dental position information, and fitting based on the key points to obtain a second occlusal plane; determining the characteristic information of the upper jaw and the lower jaw of each natural dentition model based on a second occlusal plane corresponding to each natural dentition model, wherein the characteristic information of the upper jaw and the lower jaw comprises an upper jaw characteristic line and a lower jaw characteristic line; And storing each natural dentition model and the characteristic information of the upper jaw and the lower jaw of each natural dentition model in an associated mode, and constructing the natural dentition database.
4. A method according to claim 3, wherein determining keypoints based on segmented dental position information comprises: acquiring point cloud data corresponding to a first molar, and calculating Gaussian curvature corresponding to the first molar based on the point cloud data; Screening a plurality of high curvature points with curvature larger than a preset threshold value from the point cloud data based on the Gaussian curvature; And clustering and de-duplicating the plurality of high curvature points to determine the near-middle tongue tip point.
5. The method of claim 3, wherein the deriving a second occlusal plane based on the keypoint fit comprises: the second occlusal plane is obtained based on a mid-lingual cusp near the first molar on one side, a mid-lingual cusp near the first molar on the other side, and a mid-cut edge midpoint fit.
6. The method of claim 3, wherein the maxillary feature line comprises a maxillary midline, a front boundary line, a maxillary dentition curve, and the mandibular feature line comprises a mandibular midline, a rear boundary line, a mandibular dentition curve; The obtaining the target natural dentition model from the natural dentition database based on the upper and lower jaw characteristic information of the toothless three-dimensional model comprises the following steps: And performing feature matching on the characteristic information of the upper and lower jaws of the toothless three-dimensional model and the characteristic information of the upper and lower jaws of each natural dentition model in the natural dentition database, and screening from a plurality of natural dentition models to obtain the target natural dentition model.
7. The method according to claim 6, wherein the feature matching the characteristic information of the upper and lower jaws of the three-dimensional model of the toothless jaw with the characteristic information of the upper and lower jaws of each of the natural dentition models in the natural dentition database, and the screening the target natural dentition model from the plurality of natural dentition models includes: Aligning the maxillary midline, the front boundary line and the maxillary alveolar ridge top curve of the three-dimensional model of the toothless jaw with the maxillary midline, the front boundary line and the maxillary alveolar ridge top curve of each of the natural dental models respectively, aligning the mandibular midline, the rear boundary line and the mandibular alveolar ridge top curve of the three-dimensional model of the toothless jaw with the mandibular midline, the rear boundary line and the mandibular alveolar ridge top curve of each of the natural dental models respectively, and determining characteristic geometric deviation between the three-dimensional model of the toothless jaw and each of the natural dental models; And determining the target natural dentition model according to the characteristic geometric deviation between the toothless three-dimensional model and each natural dentition model.
8. The method of claim 1, wherein calibrating the target natural dentition model based on the facial scan data and the oral scan data results in a complete denture three-dimensional model, comprising: determining bite information for the user based on the facial scan data and the oral scan data; And according to the occlusion information, adjusting the space position between the upper jaw and the lower jaw of the target natural dentition model to obtain the complete denture three-dimensional model.
9. An electronic device comprising a processor and a memory, the memory storing machine-readable instructions executable by the processor, the processor executing the machine-readable instructions when the electronic device is operating to perform the steps of the complete denture generation method according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the complete denture generation method according to any one of claims 1 to 8.

Description

Complete denture generation method, electronic device, and computer-readable storage medium Technical Field The application relates to the technical field of digital oral cavity, in particular to a complete denture generation method, electronic equipment and a computer readable storage medium. Background With the continuous rise of the incidence of dentures and dentition defects, especially the oral health demands of the aged are more and more prominent, and the need for complete denture repair is also significantly increased. At present, the traditional complete denture manufacturing method needs to undergo links such as initial impression, final impression, jaw relation record, manual tooth arrangement, multiple clinical trial wearing and the like, and generally needs multiple times of treatment for users, consumes long time, and is difficult to ensure the fitness of the complete denture and the users because the tooth arrangement process mainly depends on manual experience. Therefore, the traditional complete denture manufacturing method is long in time consumption and low in efficiency and adaptation degree. Disclosure of Invention The application aims to overcome the defects in the prior art and provide a complete denture generation method, electronic equipment and a computer readable storage medium, so as to solve the problems that the complete denture manufacturing method in the prior art is long in time consumption and low in efficiency and adaptation degree. In order to achieve the above purpose, the technical scheme adopted by the embodiment of the application is as follows: in a first aspect, embodiments of the present application provide a complete denture generation method, the method comprising: acquiring a toothless jaw three-dimensional model, facial scanning data and oral scanning data of a user; extracting the characteristic information of the upper and lower jaws of the toothless jaw three-dimensional model; acquiring a target natural dentition model from a natural dentition database based on the maxillary and mandibular characteristic information of the toothless three-dimensional model, wherein the natural dentition database comprises a plurality of natural dentition models and the maxillary and mandibular characteristic information of each natural dentition model; And calibrating the target natural dentition model based on the facial scanning data and the oral scanning data to obtain a complete denture three-dimensional model, wherein the complete denture three-dimensional model is used for three-dimensionally printing and obtaining the complete denture of the user. As a possible implementation manner, the extracting the maxilla and mandible characteristic information of the toothless jaw three-dimensional model includes: determining a first occlusal plane of the toothless jaw three-dimensional model; Taking a connecting line of the incisor mastoid process and the palate center seam as a maxillary midline, taking a straight line which passes through a preset distance in front of the incisor mastoid process and is parallel to the first occlusal plane as a front boundary line, and connecting a maxillary alveolar ridge crest line as a maxillary alveolar ridge crest curve; And projecting the upper jaw midline to the lower jaw as a lower jaw midline, taking a connecting line connecting midpoints of left and right molar rear pads of the lower jaw as a rear end boundary line, and connecting an alveolar ridge crest line of the lower jaw as a mandibular alveolar ridge crest curve. As a possible implementation manner, the method further includes: Collecting a plurality of natural dentition models; Performing dental position segmentation processing on each natural dentition model, determining key points based on the segmented dental position information, and fitting based on the key points to obtain a second occlusal plane; determining the characteristic information of the upper jaw and the lower jaw of each natural dentition model based on a second occlusal plane corresponding to each natural dentition model, wherein the characteristic information of the upper jaw and the lower jaw comprises an upper jaw characteristic line and a lower jaw characteristic line; And storing each natural dentition model and the characteristic information of the upper jaw and the lower jaw of each natural dentition model in an associated mode, and constructing the natural dentition database. As a possible implementation manner, the determining key points based on the segmented dental position information includes: acquiring point cloud data corresponding to a first molar, and calculating Gaussian curvature corresponding to the first molar based on the point cloud data; Screening a plurality of high curvature points with curvature larger than a preset threshold value from the point cloud data based on the Gaussian curvature; And clustering and de-duplicating the plurality of high curvature points to determine the nea