Orthodontic Assessment System Using 3D Digital Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing methods for orthodontic treatment planning and assessment are imprecise due to the abundance of data and lack of standards, leading to subjective evaluation of treatment success, and there is a need for a more objective and efficient methodology to assess treatment outcomes at an individual patient level.
Innovation Solution
A dental data mining system is used to analyze 3-dimensional treatment plans and outcomes, employing data mining software to correlate patient tooth problems with dental appliance solutions, and incorporating tools like teeth superimposition and data-driven analyzers to measure tooth movement and predictability, allowing for dynamic orthodontic assessment and treatment profiling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional orthodontic assessment methods using indices like PAR are used, then treatment outcomes can be evaluated, but the assessment remains subjective due to varying clinician definitions and expertise
Solution Approach 1:
The patent creates digital 3D copies of patient dentition through scanning and imaging technologies. These digital models serve as precise replicas that can be analyzed computationally, eliminating the need for physical casts and subjective visual assessments. The digital copies enable standardized measurement and comparison across different cases and clinicians.
Solution Approach 2:
The patent replaces traditional mechanical assessment methods (physical casts, manual measurements, visual inspection) with computational analysis systems. Software algorithms automatically analyze 3D digital models to extract orthodontic parameters, replacing the mechanical and subjective processes with automated, objective computational methods.
2Adaptability or versatility
If 3-D computer graphics software services are used to establish custom treatment goals, then treatment planning becomes more personalized, but the abundance of data makes assessment imprecise
Solution Approach 1:
The patent extracts specific, relevant orthodontic parameters from the abundant 3D digital data through automated analysis. Rather than attempting to process all available data, the system identifies and extracts key measurements (tooth positions, angles, distances) that are clinically relevant, filtering out unnecessary information to maintain assessment precision.
Solution Approach 2:
The patent transforms raw 3D spatial data into standardized orthodontic parameters through computational processing. The system converts complex geometric information into meaningful clinical metrics (such as tooth inclination angles, arch width measurements, and positional deviations) that can be objectively assessed and compared against treatment goals.
3Ease of operation
If manual assessment methods relying on clinician expertise are used, then treatment plans can be created, but the process is time-consuming and lacks efficiency
Solution Approach 1:
The patent enables the assessment system to perform self-analysis through automated algorithms. The software independently evaluates 3D digital models, compares current dentition to treatment goals, and generates assessment reports without requiring manual measurement or subjective clinician input for each case, significantly improving efficiency while maintaining ease of use.
Solution Approach 2:
The patent implements automated feedback loops where the system continuously compares actual treatment progress against planned goals based on sequential 3D scans. This real-time feedback mechanism automatically identifies deviations and alerts clinicians, eliminating the need for manual re-assessment and improving both efficiency and accuracy of treatment monitoring.
Data Source
AI summary
Method and system for projecting a first orthodontic related image at a predetermined location within a display unit, selecting a second orthodontic related image on the display unit, and projecting the second orthodontic related image at the predetermined area within the display unit such that a difference between the first orthodontic related image and the second orthodontic related image is displayed at the predetermined area within the display unit are provided.