3D Tooth Model Numbering Without Manual Marking
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Solution Overview
Problem
Existing methods for marking tooth numbers on digital intraoral impressions require significant time and skill, leading to inaccuracies due to variations in tooth shape and misalignments, and are prone to operator errors.
Innovation Solution
A data processing method based on a 3D tooth model that determines tooth numbers using a 3D tooth model, employing 2D tooth images from multiple viewing angles and probability-based algorithms to identify tooth regions and numbers without relying on instance segmentation or object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual marking method is used to mark tooth numbers on digital impressions, then the operator can directly identify teeth, but it requires large time investment and high professional skills, leading to omissions and misjudgments
Solution Approach 1:
The patent replaces the manual mechanical marking process with an automated computer-based system. The system automatically identifies tooth regions in 3D models, performs instance segmentation to separate individual teeth, detects key points on each tooth, and determines tooth numbers through coordinate comparison with a database, eliminating the need for manual operator intervention and significantly reducing time investment while maintaining or improving accuracy.
Solution Approach 2:
The system enables self-service automation where the computer-based system independently performs the complete tooth identification workflow without human assistance. The automated process includes obtaining 3D models, identifying tooth regions, segmenting teeth, detecting key points, and determining tooth numbers, allowing the system to serve itself in completing the task that previously required skilled operators.
2Measurement precision
If manual marking method is used to mark tooth numbers on digital impressions, then the operator can directly identify teeth, but it has high requirements for operator professional skills
Solution Approach 1:
The patent replaces the manual mechanical marking process with an automated computer-based system. The system automatically identifies tooth regions in 3D models, performs instance segmentation to separate individual teeth, detects key points on each tooth, and determines tooth numbers through coordinate comparison with a database, eliminating the need for manual operator intervention and significantly reducing time investment while maintaining or improving accuracy.
Solution Approach 2:
The system enables self-service automation where the computer-based system independently performs the complete tooth identification workflow without human assistance. The automated process includes obtaining 3D models, identifying tooth regions, segmenting teeth, detecting key points, and determining tooth numbers, allowing the system to serve itself in completing the task that previously required skilled operators.
3Measurement precision
If instance segmentation or object detection is used as prior detection, then tooth regions can be identified, but it reduces the efficiency and robustness of tooth number determination
Solution Approach 1:
The patent replaces the manual mechanical marking process with an automated computer-based system. The system automatically identifies tooth regions in 3D models, performs instance segmentation to separate individual teeth, detects key points on each tooth, and determines tooth numbers through coordinate comparison with a database, eliminating the need for manual operator intervention and significantly reducing time investment while maintaining or improving accuracy.
Data Source
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AI summary
Embodiments of the present disclosure relate to a data processing method, apparatus, device, and medium based on a 3D model, wherein the method includes: obtaining a 3D tooth model of a target oral cavity; determining a tooth number corresponding to each tooth type in the target oral cavity according to the 3D tooth model. Therefore, the robustness and efficiency of tooth number determination are improved.