3D Dental Model to 2D Color Component Image Transformation
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Solution Overview
Problem
Current dental restoration methods often result in incorrect procedures due to user error or inexperience, as they rely on manual selection of restoration types, which can lead to faulty outcomes and incorrect applications.
Innovation Solution
A method is developed to transform a digital 3D dental model into a non-photorealistic 2D image, utilizing dissimilar acquisitions of dental structures, which are converted into respective color components of a color model, enabling better suitability for machine-readable processes and data-driven techniques like convolutional neural networks for accurate classification and procedure determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection of restoration type is used, then user flexibility is maintained, but reliability of procedure determination deteriorates due to user error and inexperience
Solution Approach 1:
The patent segments the complex dental image analysis task into distinct color component channels (e.g., red, green, blue components). Each channel processes specific features independently, and their results are combined to determine the restoration procedure. This segmentation reduces the complexity of the overall system while improving reliability through specialized processing in each channel.
Solution Approach 2:
The patent transforms 3D dental model data into a 2D multi-component color image representation. This dimensional transformation allows the application of 2D image processing techniques and color model analysis to solve the procedure determination problem, simplifying the computational approach while maintaining diagnostic accuracy through the multi-component structure.
2Measurement precision
If photorealistic 2D image transformation is used, then visual accuracy is improved, but machine readability and processing efficiency deteriorate
Solution Approach 1:
The patent changes the parameter representation by converting dental model data into color component values rather than photorealistic visual parameters. Each color component encodes specific structural information in a standardized numerical format that is highly efficient for machine processing while maintaining precise representation of dental features through the color model framework.
Solution Approach 2:
The patent replaces the mechanical/visual approach of photorealistic rendering with a computational approach using color model mathematics. Instead of generating visually accurate images that require complex rendering, the system directly computes color component values from the 3D model, which are inherently machine-readable and efficiently processable while preserving measurement precision.
3Quantity of substance
If single-component 2D image is used, then data compactness is improved, but information sufficiency for accurate classification deteriorates
Solution Approach 1:
The patent merges multiple color component channels into a unified multi-component image structure. Each component contains specific information about dental features, and their combination preserves comprehensive diagnostic information while maintaining compact 2D representation. The merging of color components creates a rich information density that exceeds single-component images without sacrificing data compactness.
Solution Approach 2:
The patent creates a composite data structure using multiple color component layers, analogous to composite materials in engineering. Each color component acts as a distinct layer with specific informational properties, and their combination forms a composite representation that preserves all necessary diagnostic information while maintaining efficient storage and processing characteristics of 2D images.
Data Source
AI summary
The present teachings relate to a method for transforming a digital 3D dental model to a 2D dental image, the method including: providing, at least two selected images from the 3D dental model; converting, each of the selected images, to a respective color component of a color model; obtaining, by combining the respective color components, the 2D image in a computer-readable format of the color model. The present teachings also relate to a method of classification of the 2D image, a dental procedure assisting system, uses and computer software products.