Automated Dental Arch Model Cutting via Neural Network Zone Analysis
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Solution Overview
Problem
The existing methods for cutting three-dimensional dental arch models into elementary models are time-consuming and require significant operator intervention, especially when simulating orthodontic or cosmetic treatments, as they rely heavily on manual refinement and validation.
Innovation Solution
A method utilizing a trained neural network to analyze views of the dental arch model, identify elementary zones, and assign attributes to corresponding regions, allowing for automated identification and grouping of voxels into elementary models, thereby accelerating the cutting process without operator intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual refinement and validation methods are used to cut three-dimensional dental arch models, then cutting precision can be maintained, but the cutting speed and productivity are significantly reduced
Solution Approach 1:
The patent replaces manual mechanical cutting operations with an automated computer-based system that uses virtual cutting planes and digital model manipulation. The cutting process is transformed from a manual mechanical task to an automated computational process, achieving both high precision and improved productivity
Solution Approach 2:
The patent creates virtual copies of the dental arch model that can be manipulated and cut without affecting the original physical model. Multiple virtual cutting planes and views can be generated and tested, allowing precise cutting definitions to be established before any physical intervention, thereby maintaining precision while accelerating the process
2Productivity
If automated cutting methods are implemented to speed up the process, then productivity increases, but cutting precision and accuracy may deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the automated cutting system generates virtual cutting results that are displayed and evaluated, allowing operators to review and adjust cutting parameters before final execution. This feedback loop ensures that automated operations maintain the precision required for dental applications
Solution Approach 2:
The patent performs preliminary virtual cutting operations and visualizations before finalizing the cutting plan. Multiple analysis views and virtual cutting planes are generated in advance, allowing the system to pre-determine precise cutting paths and parameters, ensuring accuracy is established before the actual cutting process begins
3Measurement precision
If extensive operator intervention is required for model cutting, then cutting accuracy can be maintained, but the complexity of the operation increases and time consumption rises
Solution Approach 1:
The patent enables the system to automatically perform cutting operations based on pre-defined parameters and virtual models. The automated system serves itself by generating cutting plans, executing virtual cuts, and producing elementary models without requiring continuous operator intervention, thereby reducing operational complexity while maintaining precision through algorithmic accuracy
Data Source
AI summary
Method for cutting a three-dimensional model of a dental scene, or “scene model.” The method includes acquiring a view of the scene model, called the “analysis view.” The method includes analyzing the analysis view by a neural network in order to identify, in the analysis view, at least one elementary zone representing an element of the dental scene, and assigning a value to at least one attribute of the elementary zone. The method includes identifying a region of the scene model represented by the elementary zone on the analysis view, and assigning, in the region, a value to an attribute of the scene model in accordance with the value of the attribute of the elementary zone.