Tooth Trajectory Optimization Using 3D Stress Simulation
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Solution Overview
Problem
Current orthodontic treatment planning methods face challenges in efficiently and safely determining tooth trajectories, as they often result in prolonged treatment durations and risk of tooth damage due to excessive forces or collisions, which can lead to discomfort and structural damage.
Innovation Solution
A method and system that utilize a 3D model of the patient's teeth to determine a valid force range for tooth movement, optimizing the trajectory by minimizing collisions and ensuring the force remains within safe stress limits to prevent damage, thereby reducing the number of treatment segments and overall duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional orthodontic treatment planning methods are used to determine tooth trajectories, then the treatment can be completed, but the treatment duration is prolonged and there is risk of tooth damage due to excessive forces or collisions
Solution Approach 1:
The system performs preliminary simulation of tooth movement trajectories before actual treatment begins. By predicting potential collisions and excessive forces in advance, the treatment plan can be optimized to avoid safety issues while maintaining efficient treatment duration. The simulation phase allows identification of problematic trajectory segments that would otherwise cause delays or damage during actual treatment.
Solution Approach 2:
The system incorporates feedback mechanisms by continuously monitoring simulated tooth movement and comparing it against safety constraints (maximum forces, collision thresholds). Based on this feedback, the trajectory is iteratively adjusted to eliminate unsafe segments while preserving treatment efficiency. This closed-loop approach ensures both safety and optimal treatment duration.
2Productivity
If higher forces are applied to accelerate tooth movement, then treatment duration is reduced, but the risk of damage to periodontal ligaments and teeth increases
Solution Approach 1:
The system dynamically adjusts force parameters along the tooth trajectory based on local anatomical conditions. By changing force magnitude and direction parameters in response to simulated tissue stress responses, the system maintains treatment efficiency while preventing excessive forces that would damage periodontal ligaments. The force application profile is continuously optimized rather than applied uniformly.
Solution Approach 2:
The treatment plan employs dynamic force adjustment rather than static force application. The system adapts force parameters in real-time during simulation based on tooth position, tissue response, and trajectory requirements. This dynamic approach allows maximum efficient force application at each moment while automatically reducing forces when safety thresholds are approached, preventing periodontal damage.
3Reliability
If the tooth trajectory is optimized to minimize collisions, then safety is improved, but the treatment duration may increase due to more conservative movement paths
Solution Approach 1:
The tooth trajectory is divided into multiple segments, each optimized independently for collision-free movement. By segmenting the overall journey into smaller controlled steps with intermediate checkpoints, the system ensures safety at each phase while maintaining overall treatment efficiency. Each segment can be optimized for its specific geometric constraints without compromising the entire treatment timeline.
Solution Approach 2:
The system maintains continuous tooth movement along the optimized trajectory without unnecessary interruptions or reversals. By ensuring smooth, continuous progression through pre-calculated safe zones and intermediate positions, the treatment achieves maximum efficiency within safety constraints. The continuous action approach avoids delays that would result from stopping and restarting movement.
Data Source
AI summary
A method and a system for determining a tooth trajectory for a given tooth of a subject are provided. The method comprises: generating, by executing an optimization algorithm, based on a 3D model of the given tooth, a plurality of segments defining a tooth trajectory of the given tooth from its initial position to its target position. The executing comprises: determining, based on the stress values range, an initial force to be applied to the given tooth, the initial force causing a maximum displacement of the 3D model of the given tooth from the start position associated with the given segment towards the target position associated with the given tooth, thereby identifying an end position associated with the given segment. The method further comprises determining a respective force applied to at least one other 3D model by the maximum displacement of the 3D model of the given tooth.


