3D Dental Arch Model Generation from 2D Images
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Solution Overview
Problem
Current methods for constructing three-dimensional models of dental arches from two-dimensional images are inefficient, requiring in-person dental appointments and scans, which can be inconvenient and delay orthodontic treatment.
Innovation Solution
A system utilizing a model training system and a model generation system that uses machine learning models to generate three-dimensional models from two-dimensional images of dental impressions, allowing users to create and merge 3D models without the need for physical scans or appointments, using a pre-trained image detector and neural network-based engine to process and generate accurate point clouds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional in-person dental scans and appointments are used to construct 3D models, then measurement precision and reliability are maintained, but loss of time and ease of operation deteriorate due to scheduling requirements and patient inconvenience
Solution Approach 1:
The patent uses photogrammetry to create 2D photographic copies of the dental arch from multiple angles, which are then processed to generate a 3D model. This copying approach allows accurate 3D reconstruction without requiring physical presence at a dental clinic, resolving the contradiction between convenience and measurement precision.
Solution Approach 2:
The patent replaces traditional mechanical scanning devices and in-person clinical procedures with a photogrammetry-based system using standard cameras and computational algorithms. This substitution maintains measurement accuracy while eliminating the need for specialized equipment and clinical appointments.
2Manufacturing precision
If multiple 3D models are generated from different impressions and merged, then manufacturing precision and reliability improve, but device complexity and processing time increase
Solution Approach 1:
The patent merges multiple 3D models generated from different dental impressions to create a comprehensive and accurate representation of the dental arch. This merging process integrates data from multiple sources to improve manufacturing precision for custom aligners, while the systematic approach manages the complexity through automated alignment and integration algorithms.
Data Source
AI summary
Systems and methods for generating a three-dimensional (3D) model of a user's dental arch based on two-dimensional (2D) images of dental impressions include a model training system that provides a machine learning model using training image(s) of a dental impression of a respective dental arch and a 3D training model of the respective dental arch. A model generation system receives first image(s) of a first dental impression of a user's dental arch and second image(s), which may be of the first dental impression or a second dental impression of the dental arch. The model generation system generates a first and second 3D model of the dental arch by applying the first image(s) and second image(s) to the machine learning model.