Orthodontic Teeth Alignment Shape Generation via 3D Arch Form Comparison

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Solution Overview

Problem

Current orthodontic treatments face challenges in generating a standard teeth alignment shape for orthodontic appliances, as existing methods lack precision and efficiency in determining the optimal alignment for individual patients.

Innovation Solution

A method and device that extract specific points from a patient's teeth, generate a three-dimensional patient arch form, compare it with standard arch forms through statistical cluster analysis, and select the most similar standard arch form to create an orthodontic teeth alignment shape, utilizing Facial Axis points and 3D cluster analysis to reflect occlusal curves.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual methods are used to determine teeth alignment shape, then flexibility in treatment planning is maintained, but precision and efficiency in generating the alignment shape deteriorate

Engineering Contradiction:

Improveprecision of teeth alignment shapeVSAvoidtime for generating alignment shape

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical measurement and drawing methods with an automated computer-based system that uses 3D scanning data and algorithmic processing to generate teeth alignment shapes, significantly improving both precision and efficiency

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates accurate digital 3D copies of the patient's actual teeth arrangement from scan data, allowing precise measurement and alignment shape generation without physical models, thereby improving precision while reducing time

Inventive Principle:

Principle #26Copying

2Productivity

If standardized alignment shapes are used for all patients, then treatment efficiency is improved, but adaptability to individual patient anatomy deteriorates

Engineering Contradiction:

Improveefficiency of orthodontic treatmentVSAvoidadaptability to patient-specific anatomy

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent applies local quality by customizing the alignment shape for each patient based on their specific 3D scanned teeth anatomy, ensuring that the treatment plan adapts to individual variations in tooth size, shape, and arrangement while maintaining efficient automated generation

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system performs preliminary 3D scanning and analysis of the patient's teeth before treatment to generate a customized alignment shape that predicts the final desired arrangement, allowing efficient treatment planning that is tailored to each patient's specific anatomy

Inventive Principle:

Principle #10Preliminary action

3Manufacturing precision

If complex 3D analysis methods are used to generate alignment shapes, then accuracy of patient-specific alignment is improved, but device complexity and computational requirements worsen

Engineering Contradiction:

Improveaccuracy of alignment shape generationVSAvoidcomplexity of analysis system

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex 3D analysis into distinct processing stages: acquiring 3D scan data, extracting tooth geometry, comparing with standard alignment shapes, and generating the customized alignment plan. This segmentation improves accuracy while managing system complexity through modular processing

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20230233287A1Method and device for generating orthodontic aligned teeth shape

Publication Date: 2023.07.27 DDH

AI summary

Provided is a method for generating an orthodontic teeth alignment shape for an orthodontic treatment, the method including the steps of: extracting specific points from a plurality of teeth in at least one of the upper and lower jaws, based on a patient's teeth shape information; generating a three-dimensional patient arch form based on the extracted specific points; comparing the patient arch form with a plurality of standard arch forms to select the standard arch form most similar to the patient arch form from the plurality of standard arch forms; and generating the orthodontic teeth alignment shape based on the selected standard arch form.