3D Archline Optimization Using a Patient-Specific Spee Curve
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Solution Overview
Problem
Existing orthodontic technologies fail to optimize the archline based on the Spee curve, which is crucial for achieving an accurate smile line and personalized treatment plans, as they lack methods to set the radius and center of the circle in a three-dimensional space.
Innovation Solution
An archline optimization method that generates a Spee curve with a predetermined radius of curvature based on at least two points, projecting and optimizing the archline on a three-dimensional model of a patient's oral cavity, using a two-dimensional arc to adjust the initial archline in a three-dimensional space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a default Spee curve is used in orthodontic treatment, then the treatment process is simplified, but the accuracy of the smile line and personalized treatment plan deteriorates
Solution Approach 1:
The patent applies parameter changes by allowing dynamic adjustment of the Spee curve parameters (radius of curvature and center position) based on individual patient data. The system generates initial default values but enables modification of these parameters to match the patient's specific oral cavity geometry, thereby achieving both ease of operation through automated generation and precision through customizable parameters.
Solution Approach 2:
The patent implements dynamics by creating a flexible system where the Spee curve can be dynamically adjusted during the treatment planning process. The archline optimization module allows real-time modification of the Spee curve based on user input and patient-specific requirements, transforming a static default curve into a dynamic, adaptable structure that balances simplicity with accuracy.
2Manufacturing precision
If the Spee curve radius and center are manually adjusted, then the accuracy of the archline optimization is improved, but the complexity of the treatment planning process increases
Solution Approach 1:
The patent applies self-service by implementing an automated Spee curve generation system that creates optimized curves without requiring extensive manual intervention. The system automatically calculates initial Spee curve parameters based on patient data, reducing the burden on users while still allowing targeted adjustments when needed, thus achieving high accuracy without proportional increase in complexity.
Solution Approach 2:
The patent implements preliminary action by pre-generating optimized Spee curve values based on automated analysis of patient oral cavity data. This preliminary optimization reduces the number of manual adjustments needed, as the system starts with already-optimized parameters rather than requiring users to build the optimization from scratch, thereby maintaining high accuracy while reducing perceived complexity.
3Manufacturing precision
If a three-dimensional Spee curve optimization is implemented, then the precision of the archline is improved, but the computational resources and system complexity increase
Solution Approach 1:
The patent applies segmentation by dividing the complex three-dimensional Spee curve optimization into manageable components. The system separates the optimization process into distinct modules: initial curve generation, parameter adjustment, and final optimization. This segmentation allows the complex computational task to be handled through simpler, sequential operations, reducing overall computational burden while maintaining three-dimensional precision.
Solution Approach 2:
The patent implements dimensionality change by transforming the complex three-dimensional optimization problem into a more manageable form through coordinate transformations and projections. The system uses mathematical operations that map three-dimensional Spee curve adjustments to simpler parameter spaces, reducing computational complexity while preserving the essential three-dimensional geometric accuracy of the archline.
Data Source
AI summary
An archline optimization method according to the present disclosure includes generating a Spee curve based on an arc of a circle having a predetermined radius of curvature, and changing a three-dimensional archline based on the Spee curve.


