Dynamic Orthodontic Assessment Using 3D Digital Models
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Solution Overview
Problem
Current orthodontic treatment planning and assessment methods are imprecise due to the abundance of data and lack of standards, leading to subjective evaluation of treatment success, with varying definitions of orthodontic parameters among clinicians and limited objective methodologies for assessing tooth movement and treatment outcomes.
Innovation Solution
A dental data mining system is employed to analyze 3D treatment plans and outcomes using digital models, tooth superimposition, and data mining software to generate dynamic orthodontic assessment and treatment profiles, incorporating statistical models and neural networks for precise tooth movement analysis and appliance configuration optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional orthodontic assessment methods using multiple indices and parameters are used, then comprehensive evaluation of treatment outcomes is achieved, but subjectivity and variability among clinicians increase
Solution Approach 1:
The patent transforms multiple discrete orthodontic parameters (tooth position, angle, occlusion) into a unified 3D digital model representation. This parameter transformation allows comprehensive assessment while reducing subjectivity by using standardized digital measurements rather than varying clinical judgments across different indices like PAR, ICON, and ABO.
Solution Approach 2:
The patent creates digital copies (3D models) of the patient's dentition at different treatment stages. These digital replicas enable precise, repeatable measurements and comparisons without the variability inherent in physical model assessment or clinical visual evaluation, thereby improving measurement precision while maintaining comprehensive evaluation capability.
2Reliability
If custom treatment goals are established for each patient using 3-D software, then treatment success rate improves, but treatment planning complexity increases
Solution Approach 1:
The patent performs preliminary 3D digital modeling and treatment simulation before actual treatment begins. By establishing the target dentition configuration in advance using digital tools and creating a roadmap for tooth movement, the system improves treatment success while managing complexity through structured pre-planning rather than ad-hoc adjustments during treatment.
Solution Approach 2:
The patent employs dynamic 3D modeling that allows flexible adjustment of treatment goals based on patient-specific anatomy and requirements. The digital treatment plan can be modified and optimized iteratively, enabling customized treatment paths for each patient while using standardized digital workflows to manage the complexity of individualized planning.
3Loss of information
If multiple orthodontic indices (PAR, ICON, IOTN, ABO) are used for assessment, then evaluation comprehensiveness improves, but assessment time and complexity increase
Solution Approach 1:
The patent merges multiple separate assessment indices into a single integrated 3D digital assessment system. Instead of separately applying PAR, ICON, IOTN, and ABO indices, the system combines their evaluation criteria into one unified digital model analysis, preserving comprehensive assessment capability while eliminating the time required to perform multiple separate assessments.
Solution Approach 2:
The patent replaces manual, time-consuming physical assessment methods with automated 3D digital analysis. The computer-based system automatically calculates and compares treatment outcomes against multiple criteria simultaneously, reducing assessment time while maintaining comprehensive evaluation of all treatment details through digital image processing and automated measurement algorithms.
Data Source
AI summary
Method and system for displaying an orthodontic related image including one or more image segments, selecting one or more movement indicators associated with a corresponding one or more of the image segments, and dynamically displaying a modified orthodontic related image based on the selected one or more movement indicators are provided.