Orthodontic 3D Scan Reliability Marking for Data Supplementation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing three-dimensional scanning methods for orthodontic treatment rely on user determination of data reliability, which is ambiguous and inefficient, leading to potential inaccuracies and additional patient visits due to low-reliability areas in scan data.
Innovation Solution
A data processing method that includes scan data acquisition, reliability determination of evaluation areas, and marking low-reliability areas with predetermined marks to facilitate easy identification and supplementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user personal determination is used to assess scan data reliability, then the process is simple and quick, but the precision and reliability of the final data are compromised due to ambiguous criteria
Solution Approach 1:
The system performs self-assessment of scan data quality through automated algorithms that evaluate coverage, completeness, and reliability metrics without requiring user expertise. The processor automatically generates reliability assessments and supplementation recommendations, allowing the system to serve itself in quality control rather than relying on user judgment.
Solution Approach 2:
The patent replaces the mechanical/cognitive system of user visual inspection with an automated computational system. The processor executes algorithms that objectively measure scan data quality against predefined criteria, substituting human determination with machine-based automated assessment that provides consistent, quantifiable reliability metrics.
2Reliability
If color-coded reliability display is applied to the three-dimensional model, then reliability information is provided, but it becomes difficult to visually check the location and direction of low-reliability areas when they are small portions
Solution Approach 1:
The patent segments the three-dimensional model into multiple evaluation areas and further divides low-reliability regions into unit areas for detailed assessment. This segmentation allows the system to identify and mark specific small portions requiring supplementation, making them visually distinct and location-specific rather than presenting a unified color-coded view that blends small defects into larger contexts.
Solution Approach 2:
The system applies different visual markings to different evaluation areas based on their specific reliability characteristics. Low-reliability areas receive distinct marks (such as arrows or symbols) that differ from the general color-coding, providing localized quality indicators that highlight specific problem areas while maintaining the overall reliability context of the entire model.
3Measurement precision
If additional scanning is performed to supplement low-reliability areas, then the precision of the final data is improved, but the time required and patient visits increase
Solution Approach 1:
The system performs preliminary assessment of scan data completeness and reliability immediately after the initial scan, identifying all low-reliability areas before proceeding to supplementation. This preliminary action allows users to make informed decisions about whether supplementation is necessary and plan the supplementation process efficiently, avoiding unnecessary additional scans while ensuring critical gaps are addressed.
Solution Approach 2:
The patent implements a feedback mechanism where the system provides specific information about low-reliability areas, including their locations and the nature of deficiencies. This feedback enables users to make targeted supplementation decisions, focusing additional scanning only on identified problem areas rather than performing comprehensive re-scanning, thereby reducing overall time loss while maintaining data precision.
Data Source
AI summary
Provided is a data processing method according to the present disclosure including: a scan data acquiring operation of acquiring scan data expressing an object, a reliability determining operation of determining a reliability of at least one evaluation area including at least one unit area for evaluating the scan data, and an indicating operation of indicating the evaluation area as a predetermined mark depending on the reliability of the evaluation area.