False tooth template artificial intelligence matching design method based on multivariable decision tree

Abstract

The invention relates to a false tooth template artificial intelligence matching design method based on a multivariable decision tree, which comprises the following steps of: 1) manually manufacturingcomplete denture artificial dentition and edge gingiva models on a mechanical occlusal frame in batches by using a plurality of types of finished artificial teeth and base wax; 2) scanning to obtainthree-dimensional data; 3) performing directory tree classification on the scanning data according to a plurality of variables to obtain a template database; 4) scanning current complete denture repair measurement data, and screening step by step according to the sequence in the step 3); 5) matching the selected design template to the alveolar ridge of the upper jaw and the lower jaw of the patient; 6) generating a design result of the base plate and the complete denture after finely adjusting the spatial position and posture. According to the method, the alveolar ridge data of the patient canbe accurately matched with the standard denture template data in the template database, so that the denture expert design template suitable for the current patient is obtained, the manual manufacturing step of a technician is omitted, the automation degree of complete denture design is improved, and the efficiency is improved.

Description

technical field [0001] The invention relates to an artificial tooth design method for a complete denture, in particular to an artificial tooth matching design method for a denture template based on a multivariate decision tree. Background technique [0002] The existing digital design software for complete dentures needs to design 28 artificial teeth tooth by tooth, each tooth has 6 degrees of freedom, and 28 teeth have a total of 168 degrees of freedom, all of which need to be adjusted interactively with the mouse and keyboard, which is time-consuming Laborious and poor functional aesthetics. However, for medical professionals who are accustomed to manually arranging teeth and sculpting wax bases on plaster models, it is a new challenge to complete the above-mentioned complex interactive operations on the computer screen. It is theoretically possible, but it is extremely difficult in practice. The main difficulties are: first, the efficiency of denture design is low; seco...

AI Technical Summary

Problems solved by technology

The main difficulties are: first, the efficiency of denture design is low; second, the denture design cannot be accurate; third, the denture design cannot be automatically completed after setting parameters according to the patient's condition, thereby realizing the automation process