3D Oral Scan Reconstruction Using Scan Bodies for Accurate Splicing
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Solution Overview
Problem
The use of soft tissues as transition areas in three-dimensional reconstruction for oral scanning leads to deformation and displacement due to external forces, affecting splicing accuracy and resulting in inaccurate restoration dentures that may cause discomfort or implant failure.
Innovation Solution
A method that identifies and reconstructs three-dimensional data based on feature information of scan body areas, excluding or weighting soft tissue areas, and uses real-time splicing and matching with standard data to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If soft tissue areas are selected as transition areas for splicing, then the scanning process can be completed, but the splicing accuracy deteriorates due to deformation and displacement of soft tissues
Solution Approach 1:
The patent extracts and removes soft tissue areas from the splicing process by identifying them through image recognition and excluding them from transition area selection. This allows the scanning to proceed using only rigid structures (teeth, implants, scan bodies) as reference points, thereby maintaining high splicing accuracy without being affected by soft tissue deformation
Solution Approach 2:
The patent segments the oral cavity image into different regions: soft tissue areas and rigid structure areas. By segmenting the splicing process to use only rigid structures as transition areas while excluding soft tissues, the system achieves accurate splicing while maintaining scanning completeness
2Area of stationary object
If soft tissue areas are used for three-dimensional reconstruction, then the complete oral cavity can be captured, but the reconstruction accuracy deteriorates due to coordinate offsets from tissue deformation
Solution Approach 1:
The patent extracts soft tissue regions from the three-dimensional reconstruction process by using image recognition to identify and separate them from rigid structures. The reconstruction is then performed using only the rigid structure coordinates, eliminating coordinate offsets caused by soft tissue deformation while still capturing the complete oral cavity through separate soft tissue mapping techniques
Solution Approach 2:
The patent applies different quality requirements to different regions: high precision is required for rigid structures (teeth, implants, scan bodies) while soft tissues are handled separately with appropriate weighting or exclusion. This local differentiation ensures reconstruction accuracy for critical components while maintaining overall oral cavity coverage
Data Source
AI summary
The present application provides a three-dimensional reconstruction method, an electronic device and a storage medium, the method includes obtaining a first image frame set of an oral cavity in a first state, where the oral cavity in the first state indicates that at least one actual scan body is installed in the oral cavity. A scan body area of each image frame in the first image frame set is identified. Once multiple image frames in the first image frame set are spliced and constructed based on feature information of the scan body area, the target three-dimensional data corresponding to the actual scan body in the oral cavity is obtained.