3D Occlusion Contact Visualization for Interactive Aligner Planning
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Solution Overview
Problem
Orthodontic treatment planning using series of subject-removable appliances is complex, time-consuming, and requires substantial manual effort, necessitating improved methods for faster and more efficient planning with greater professional and subject involvement.
Innovation Solution
A computer-implemented method for modifying orthodontic treatment plans through a user interface, allowing real-time visualization and manipulation of 3D dental models, including features like tooth position, orientation, and attachments, with simplified collision region representation to enhance interaction and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual treatment planning steps are performed in series by dental professionals, then treatment plan accuracy and professional control are improved, but treatment planning time and complexity increase substantially
Solution Approach 1:
The system performs preliminary automated treatment planning to generate an initial treatment plan before dental professional review. This preliminary action includes automatically generating 3D models, simulating tooth movements, and proposing treatment sequences, thereby reducing the time required for manual planning while maintaining professional oversight for accuracy.
Solution Approach 2:
The system creates digital 3D copies of the patient's dentition that can be manipulated and analyzed without affecting the actual teeth. These digital models allow for rapid iteration and simulation of multiple treatment scenarios, reducing planning time while maintaining the reliability of professional decision-making.
2Measurement precision
If detailed 3D models with full collision region data are used, then occlusion contact visualization accuracy is improved, but data processing time and system complexity increase
Solution Approach 1:
The collision region data is segmented into discrete contact points and contact areas rather than processing continuous surface data. This segmentation reduces data complexity while maintaining sufficient accuracy for clinical occlusion analysis, allowing the system to handle detailed 3D models efficiently.
Solution Approach 2:
The system extracts only the essential collision contact information from complete 3D models, separating critical occlusion data from unnecessary geometric details. This extraction process maintains visualization accuracy for clinical decision-making while significantly reducing data processing complexity and computational requirements.
3Adaptability or versatility
If interactive treatment plan modifications are allowed in real-time, then professional and patient involvement is improved, but computational load and processing time increase
Solution Approach 1:
The system pre-calculates and stores multiple treatment scenarios and tooth movement pathways before interactive planning begins. This preliminary computation enables real-time modifications during user interaction without requiring intensive on-the-fly calculations, thereby maintaining both flexibility and productivity.
Solution Approach 2:
The treatment planning system implements dynamic adjustment capabilities where pre-computed data structures are efficiently updated and reconfigured in response to user interactions. This dynamic approach allows real-time plan modifications with acceptable computational load by leveraging pre-prepared computational frameworks.
Data Source
AI summary
Methods of representing user edits or modifications of a treatment plan for a dental apparatus (e.g., one or a series of aligners) by managing an original clinical data set and a set of modifications of the clinical data set. Also described herein are methods of displaying, condensing, storing and reconstructing collision regions between two or more teeth.