Automated Dental Restoration Model Generation Using 3D Imaging
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Solution Overview
Problem
Current methods for generating restoration dental models are inefficient, leading to long treatment cycles and low accuracy in dental restoration procedures, particularly for implant restoration where precision is critical.
Innovation Solution
A method involving the use of 3D oral images and neural network models for determining key points of a tooth based on its restoration type, allowing for the automated generation of restoration dental models. This includes obtaining a 3D oral image, performing tooth instance segmentation, and predicting key points for dental implants or other restoration types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment and try-on methods are used to generate restoration dental models, then dentists can understand patient oral conditions and determine restoration parameters, but the treatment cycle is long and the accuracy and efficiency are low
Solution Approach 1:
The patent replaces the manual mechanical adjustment process with an automated computer-based system. The system automatically generates restoration dental models by processing 3D oral images and determining key points through computational algorithms, eliminating the need for manual try-on and adjustment processes while maintaining or improving accuracy.
Solution Approach 2:
The patent creates a digital copy of the patient's oral cavity through 3D imaging, then generates restoration models by copying and modifying this digital representation. The system determines key points and generates restoration models based on the digital 3D model, allowing for precise replication and adjustment without physical manual manipulation.
2Manufacturing precision
If manual adjustment methods are used for implant restoration, then dentists can determine implantation posture and size, but the efficiency is low and accuracy is compromised
Solution Approach 1:
The patent replaces manual determination of implantation posture and size with automated computational methods. The system processes 3D oral images, identifies tooth positions and key points through algorithmic analysis, and automatically determines optimal implant parameters, eliminating manual measurement and judgment processes.
Solution Approach 2:
The patent changes the approach from manual parameter determination to automated parameter extraction. The system automatically extracts positional, angular, and dimensional parameters from 3D images through computational algorithms, enabling precise and efficient determination of implantation characteristics without manual intervention.
3Productivity
If automated methods are used to generate restoration dental models, then efficiency and speed are improved, but the complexity of the system increases
Solution Approach 1:
The patent divides the complex restoration model generation process into distinct sequential steps: 3D oral image acquisition, tooth instance segmentation, key point determination, and restoration model generation. Each step is handled by a specialized module or algorithm, making the overall complex system manageable through modular decomposition.
Solution Approach 2:
The patent introduces 3D oral images as an intermediary data format that bridges the gap between raw scan data and final restoration models. The system processes images through intermediate processing steps (segmentation, key point extraction) before generating the final model, simplifying the overall architecture by using a standardizable intermediate representation.
Data Source
AI summary
The present invention discloses a method, device, storage medium, and medical system for generating a restoration dental model. Among them, the method comprises: obtaining the restoration type of the tooth to be restored, wherein the restoration type includes at least one of the following: tooth implant type, crown restoration type, and inlay restoration type; determining the key points of the tooth to be restored based on the restoration type, where the key points of the tooth to be restored are used to represent the characteristics of the tooth to be restored; determining the restoration dental model based on the restoration type and the key points of the tooth to be restored. The present invention solves the technical problem of low efficiency of making restoration dental models artificially in related technologies.