Automated 3D Dental Model Alignment Using Neural Network Landmarks
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Solution Overview
Problem
Manual alignment of 3D dental library models to 3D oral scan data is time-consuming and reduces accuracy and productivity in manufacturing prostheses, implants, braces, and dental instruments.
Innovation Solution
An automated method using neural networks to determine valid teeth, extract landmarks, and align 3D dental library models with 3D oral scan data, reducing manual effort and improving precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual alignment of 3D dental library models to 3D oral scan data is performed, then flexibility and adaptability are maintained, but work fatigue increases and accuracy decreases
Solution Approach 1:
The system performs automatic alignment using neural networks and algorithms that self-adjust the 3D dental library model to match the oral scan data without requiring manual intervention. The computer automatically identifies corresponding landmarks and computes transformation parameters, eliminating the need for dentist manual alignment operations.
Solution Approach 2:
The patent replaces manual mechanical alignment operations with automated computational methods. Neural networks and image processing algorithms substitute for the dentist's visual inspection and manual positioning, using digital computation instead of manual manipulation to achieve precise alignment.
2Productivity
If manual alignment process is used, then adaptability to complex cases is maintained, but productivity and manufacturing time are reduced
Solution Approach 1:
The system performs preliminary automated alignment before final manual review, pre-positioning the 3D dental library model based on algorithmic computation. This preliminary action reduces the time required for manual adjustment and accelerates the overall workflow by handling routine alignment tasks automatically.
Solution Approach 2:
The alignment system operates autonomously using self-contained algorithms and neural networks that automatically process the alignment task without requiring continuous human intervention, thereby increasing productivity and reducing the time loss associated with manual alignment operations.
3Measurement precision
If automated alignment using neural networks is implemented, then alignment accuracy and productivity are improved, but device complexity and computational requirements increase
Solution Approach 1:
The neural network system performs multiple functions including landmark detection, model alignment, and quality assessment within a single integrated platform. This multi-functionality reduces the need for separate specialized tools and procedures, managing system complexity through consolidation while maintaining high alignment accuracy.
Solution Approach 2:
The patent introduces a computer as an intermediary between the dentist and the alignment process, handling complex computational tasks. This intermediary manages the complexity by automating neural network operations and presenting simplified results to the user, shielding the dentist from system complexity while achieving high precision.
Data Source
AI summary
An automated method for aligning a 3D dental library model to 3D oral scan data includes determining a valid tooth of the 3D oral scan data, extracting scan landmarks of the 3D oral scan data, loading a dental library model corresponding to the valid tooth of the 3D oral scan data, extracting library landmarks of the 3D dental library model, initial-aligning the 3D dental library model to the 3D oral scan data using the scan landmarks and the library landmarks and matching an individual tooth of the 3D dental library model and an individual tooth of the 3D oral scan data.