Digital Scan Body Alignment With Foreign Object Removal
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Solution Overview
Problem
Intraoral scanning is hindered by foreign objects in the mouth, which reduce the accuracy and speed of generating virtual 3D models due to image processing adjustments and interference with image registration.
Innovation Solution
A method for identifying and removing representations of foreign objects in real-time or near real-time from intraoral images using analysis of physical properties and a reference object library, allowing for improved image registration and virtual model generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If image processing algorithms adjust the shape of regions based on foreign objects, then the virtual model includes complete geometric information, but the measurement precision deteriorates due to foreign object interference
Solution Approach 1:
The system extracts and identifies foreign objects from intraoral images using image processing algorithms, then removes them from the scan data before generating the virtual 3D model. This extraction process separates the harmful foreign object data from the useful dental arch information, allowing accurate measurements without foreign object interference while maintaining complete geometric information of the dental structures.
Solution Approach 2:
The system introduces an intermediary foreign object identification and removal process between image capture and model generation. This intermediary step analyzes the scan data to detect foreign objects, determines their boundaries, and selectively removes only the foreign object portions while preserving the underlying dental structures, thus mediating between complete information capture and measurement precision.
2Loss of information
If foreign objects are present during scanning, then the virtual model may contain additional features, but the productivity decreases due to re-scanning requirements
Solution Approach 1:
The system performs self-service by automatically detecting, identifying, and removing foreign objects from the scan data during the model generation process. This automated foreign object management eliminates the need for manual re-scanning when foreign objects are detected, as the system can process and correct the data in real-time, thereby maintaining productivity while ensuring model accuracy.
Solution Approach 2:
The system performs preliminary foreign object removal during the scanning process itself, rather than requiring a separate re-scan. By identifying and removing foreign objects from the original scan data before final model generation, the system prevents the need for productive loss through re-scanning, thus maintaining efficiency while ensuring complete and accurate model features.
3Ease of operation
If foreign objects move between images, then image registration can be performed, but the manufacturing precision deteriorates due to registration interference
Solution Approach 1:
The system extracts moving foreign objects from the image sequence by detecting objects that change position between consecutive images. By removing these moving foreign object representations from the scan data before registration, the system allows image registration to proceed without interference from moving objects, thereby maintaining both registration capability and manufacturing precision for accurate prosthesis fabrication.
Data Source
AI summary
A system for intraoral scanning comprises a scanner to generate image data of a dental site and a computer readable medium. The computer readable medium includes instructs that, when executed by a processing device, cause the processing device receive a selection of library data for a reference object from library data for a plurality of reference objects in a library, receive the image data generated by the intraoral scanner, the image data comprising a representation of a dental site comprising the reference object, and align the library data for the reference object with the image data.