3D Dental Arch Model Generation From 2D Images
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Solution Overview
Problem
Current methods for generating three-dimensional models of dental arches for manufacturing dental aligners are time-consuming, prone to errors, and require specialized equipment, making them inefficient and inconvenient for users.
Innovation Solution
A system utilizing a model training system and a model generation system that uses machine learning to generate 3D models from two-dimensional images of dental arches, allowing users to capture images themselves without the need for dental impressions or intraoral scans, and leveraging pre-trained image detectors and neural networks to create accurate point clouds and 3D models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods (dental impressions or intraoral scans) are used to generate 3D models, then measurement precision and reliability are improved, but device complexity and ease of operation deteriorate due to requiring specialized equipment and professional operation
Solution Approach 1:
The patent uses 2D images as copies or representations of the dental arch, which can be easily captured by users with standard cameras. These 2D copies are then processed through machine learning models to reconstruct the 3D model, eliminating the need for specialized scanning equipment while maintaining acceptable accuracy through algorithmic processing
Solution Approach 2:
The patent replaces mechanical scanning systems (intraoral scanners, impression materials) with a computational system using 2D image capture and machine learning algorithms. This substitution transitions from physical/mechanical measurement to optical capture followed by digital processing, simplifying the operational requirements
2Manufacturing precision
If traditional methods (dental impressions or intraoral scans) are used to generate 3D models, then manufacturing precision is improved, but loss of time deteriorates due to the time-consuming nature of the process
Solution Approach 1:
The patent employs pre-trained machine learning models that have already learned the complex mapping from 2D images to 3D structures during the training phase. When a user provides new 2D images, the pre-trained model can rapidly generate the 3D model without requiring time-consuming traditional scanning and processing procedures, thus reducing delivery time while maintaining precision
3Measurement precision
If traditional methods (dental impressions or intraoral scans) are used to generate 3D models, then measurement precision is improved, but device complexity deteriorates due to requiring specialized equipment
Solution Approach 1:
The patent makes the measurement system universal by using standard 2D image cameras that users already possess, rather than requiring specialized dental scanning equipment. The machine learning model processes these universal 2D inputs to extract precise 3D measurements, making the system accessible to general users without specialized equipment
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 include a model training system and a model generation system where the model training system is configured to receive a plurality of data packets of a training set, identify, a plurality of correlation points between 2D training images and a 3D training model of the respective dental arch for each data packet, and generate a machine learning model configured to generate 3D models of dental arches from 2D images of the dental arches. The model generation system is configured to receive one or more 2D images of a dental arch of a user obtained by a portable device of the user, and generate a 3D model of the dental arch of the user by applying the one or more 2D images of the dental arch to the machine learning model.