Dental Data Alignment Using Segmentation and Coordinate Transformation
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Solution Overview
Problem
Current dental imaging systems face challenges in accurately combining data from different imaging devices, such as intra-oral scanners and CBCT scanners, leading to misalignment and distortion in combined images of dental anatomy, particularly between superficial and sub-gingival structures.
Innovation Solution
A computing device is configured to receive and process dental data from multiple sources, segmenting and transforming data sets to align spatial orientations of crowns and roots, and stitching transformed superficial data to volumetric data, thereby generating combined dental data for improved image accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data from multiple imaging devices are combined without transformation, then more comprehensive dental anatomy coverage is achieved, but misalignment and distortion of dental features occur
Solution Approach 1:
The patent segments the combined dental data set into multiple portions, each corresponding to a specific imaging device source. This allows independent processing and transformation of each segment to align with a reference coordinate system, resolving the alignment issue while maintaining comprehensive coverage from multiple devices.
Solution Approach 2:
The patent transforms data from different imaging devices by changing their coordinate system parameters to match a reference coordinate system. This parameter transformation enables accurate alignment of dental features across different devices while preserving the comprehensive anatomical information.
2Manufacturing precision
If data transformation is applied to align dental features, then alignment accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent introduces a reference coordinate system as an intermediary framework. All imaging device data are transformed to align with this common reference, simplifying the transformation process compared to direct pairwise alignment between devices. This intermediary approach reduces processing complexity while maintaining high alignment accuracy.
3Measurement precision
If comprehensive data from multiple sources are integrated, then image resolution and accuracy are improved, but visible discontinuities appear at data boundaries
Solution Approach 1:
The patent applies coordinate system parameter transformations to ensure seamless alignment of data boundaries from different imaging devices. By transforming all data to a common reference coordinate system with consistent parameters, the method eliminates visible discontinuities while maintaining high image accuracy and compositional continuity.
Data Source
AI summary
A method to combine dental anatomy data includes, by the use of a computing device: receiving volumetric dental data and superficial dental data; segmenting the crowns of the volumetric dental data from the roots of the volumetric dental data; segmenting the crowns of the superficial dental data from the gingiva of the superficial dental data; transforming superficial dental data of the crowns to substantially align with volumetric dental data of the crowns; stitching the transformed superficial dental data of the crowns to volumetric dental data of the crowns; and outputting for display an image data based on the combined dental data.