Dental Restoration Method Using Iterative Digital Rendering
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Solution Overview
Problem
Current dental restoration production methods are inaccurate and subjective, often failing to achieve a natural appearance, requiring experienced technicians and relying on manual or CAD-supported processes that are inadequate for achieving the desired optical properties.
Innovation Solution
A procedure that involves creating a digital tooth model with distinct spatial areas, rendering it to reproduce optical properties, determining deviations between target and actual datasets, and iteratively adjusting these areas to minimize deviation, allowing for the production of dental restorations with high accuracy and natural appearance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual or CAD-supported layered build-up is used, then the dental technician can execute the restoration based on expertise, but the process is imprecise and fails to adequately reproduce the desired natural appearance
Solution Approach 1:
The patent replaces the manual/CAD-supported mechanical modeling process with an automated computer-based rendering system. The digital dental model is rendered using computer algorithms to generate optical property data, eliminating the need for manual layering and subjective technician judgment while achieving precise reproduction of natural tooth appearance.
Solution Approach 2:
The patent creates a digital copy of the natural tooth's optical properties through rendering the digital dental model. The rendered image serves as an objective reference that can be directly compared with the target natural tooth appearance, allowing for precise measurement and adjustment without relying on subjective human evaluation.
2Measurement precision
If subjective selection of restorative materials and shade is performed using analog shade guide, then the user can make material selections, but the process is imprecise and subjective
Solution Approach 1:
The patent replaces the simple analog shade guide with a computer-based rendering system that automatically calculates and measures optical properties. The digital model is rendered to generate quantitative data about color, translucency, and other optical characteristics, providing objective measurement without requiring complex physical measurement devices.
Solution Approach 2:
The digital dental model itself serves as the measurement tool. By rendering the model with different material combinations and comparing the rendered optical properties against the target tooth, the system performs self-measurement and self-adjustment without requiring external measurement equipment or subjective human evaluation.
3Manufacturing precision
If iterative modification of spatial areas is performed to minimize deviation, then the deviation between target and actual data sets is reduced, but the process complexity increases
Solution Approach 1:
The patent implements a feedback loop where the rendered optical properties of the digital model are continuously compared with the target tooth data, and the model is iteratively modified based on the deviation. This automated feedback mechanism systematically reduces optical property discrepancies without requiring complex manual adjustment procedures.
Solution Approach 2:
The patent modifies specific parameters of the digital model, including the spatial arrangement and thickness of restorative material layers. By systematically adjusting these parameters and re-rendering the model, the system optimizes the optical properties to match the target tooth appearance with high precision.
Data Source
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AI summary
The present invention relates to a method for producing a dental restoration, comprising the steps of generating (S101) a digital dental model with a first spatial area in which a first restorative material is arranged and a second spatial area in which a second restorative material is arranged; rendering (S102) the digital dental model to generate an actual data set that represents the optical properties of the digital dental model; determining (S103) a deviation between a target data set and the actual data set; modifying (S104) the first spatial area and/or the second spatial area to obtain a smaller deviation between the captured target data set and the actual data set of the re-rendered digital dental model; and producing (S105) the dental restoration based on the digital dental model with the smaller deviation.