Intraoral Image Alignment Excluding Mobility Teeth
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Solution Overview
Problem
Intraoral image processing methods struggle to reliably occlude teeth, especially when a mobility tooth is present, as its position can change during occlusion scans, leading to inaccurate alignment and unreliable occlusion data.
Innovation Solution
An intraoral image processing method and apparatus that obtain upper-jaw and lower-jaw scan data, identify a mobility tooth, and perform occlusion alignment using occlusion scan data excluding the mobility tooth, allowing for more precise alignment by individualizing teeth and recognizing the mobility tooth through user input or automatic selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If occlusion alignment is performed using all teeth including mobility teeth, then the alignment process is simpler and faster, but the reliability and accuracy of occlusion data deteriorates due to position changes of mobility teeth
Solution Approach 1:
The patent extracts and excludes mobility teeth from the occlusion alignment process. The system automatically detects mobility teeth based on scan data analysis (comparing upper and lower jaw scans) and removes them from the alignment calculation, thereby preventing position changes of these teeth from compromising the reliability of occlusion data while maintaining efficient processing of stable teeth
2Measurement precision
If manual selection of mobility teeth is required, then the accuracy of identifying mobility teeth improves, but the operation complexity and time consumption increases
Solution Approach 1:
The system performs self-service by automatically detecting and identifying mobility teeth through algorithmic analysis of scan data. The processor compares upper and lower jaw scan data to identify teeth with position discrepancies, automatically flagsging them as mobility teeth without requiring manual intervention, thus maintaining high identification accuracy while preserving ease of operation
Solution Approach 2:
The system provides feedback mechanisms where the processor analyzes scan data, identifies potential mobility teeth, and presents results for verification. This feedback loop allows the system to automatically identify mobility teeth while providing opportunities for user confirmation or correction, balancing automated precision with operational simplicity
Data Source
AI summary
Provided are a data processing apparatus for processing an intraoral image and an intraoral image processing method. An intraoral image processing method of a data processing apparatus includes obtaining upper-jaw scan data obtained by scanning an upper jaw of an oral cavity, lower-jaw scan data obtained by scanning a lower jaw of the oral cavity, and occlusion scan data obtained by scanning an occlusion state of the upper jaw and the lower jaw, selecting a mobility tooth, and performing occlusion alignment of the upper-jaw scan data and the lower-jaw scan data based on the occlusion scan data excluding the selected mobility tooth.