Missing Tooth Prediction in Dental Imaging via Standard Model Matching
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Solution Overview
Problem
Determining the central position, central axis direction, and size of a missing tooth in dental implant procedures is challenging, especially for beginners and dependent on operator experience, as it requires precise consideration of various factors including alveolar bone condition and tooth alignment.
Innovation Solution
A method and apparatus that automatically detect and predict the central position, central axis direction, and size of a missing tooth in an oral image by generating a standard tooth model through statistical learning, whole-area matching, and localized comparison with neighboring teeth, allowing for the accurate placement of a crown and implant.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual determination methods are used to identify missing tooth parameters, then operator experience and judgment are required, but this leads to high dependency on operator skill level and inconsistent results
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated image processing system. The system uses digital oral images, extracts tooth feature points through algorithmic recognition, and calculates missing tooth parameters automatically, eliminating the need for operator skill-based judgment while maintaining measurement precision.
Solution Approach 2:
The patent creates a virtual copy of the patient's dental anatomy by generating a three-dimensional tooth model from two-dimensional oral images. This digital replica allows the system to analyze tooth geometry, alignment, and spacing objectively, providing consistent measurements without operator variability.
2Ease of operation
If automated image processing is applied to detect missing tooth parameters, then operator experience dependency is reduced, but the system complexity increases
Solution Approach 1:
The patent divides the complex image processing task into discrete functional modules: image acquisition, feature point extraction, tooth model generation, parameter calculation, and result display. Each module performs a specific function independently, making the overall system more manageable and easier to implement despite the increased automation.
Solution Approach 2:
The patent introduces a three-dimensional tooth model as an intermediary representation between the raw oral image and the final measurement results. This intermediate model simplifies the processing by providing a standardized geometric framework for extracting tooth parameters, reducing the direct complexity of analyzing raw images.
3Manufacturing precision
If comprehensive analysis of alveolar bone condition and tooth alignment is performed, then implant placement accuracy improves, but the determination process becomes more difficult and time-consuming
Solution Approach 1:
The patent continuously processes the oral image data through automated algorithms that simultaneously extract multiple parameters including tooth position, orientation, size, and alveolar bone characteristics. This continuous automated analysis completes all measurements in a single processing cycle, maintaining comprehensive accuracy while eliminating the sequential time consumption of manual assessment.
Data Source
AI summary
The present invention provides a method for predicting a missing tooth in an oral image, comprising the steps of: generating a standard tooth model by statistically learning a plurality of training images; whole-area-matching an oral image to the standard tooth model; and predicting a missing tooth by comparing first and second neighboring teeth located on both sides of the missing tooth, respectively, with first and second standard teeth of the standard tooth model corresponding to the first and second neighboring teeth, respectively.