3D Tooth Preparation Margin Extraction With Error Correction
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Solution Overview
Problem
Existing methods for extracting the cervical margin line of a tooth preparation require significant manual interaction and operator skill, leading to inefficiencies and inaccuracies in the extraction process.
Innovation Solution
A method involving the acquisition of a three-dimensional digital model, conversion to a candidate two-dimensional digital image, determination of a candidate cervical margin line using deep learning, and subsequent error correction in the three-dimensional model to refine the margin line.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If key points on the cervical margin line are defined sequentially by technicians using algorithms such as shortest path, then the cervical margin line can be obtained, but the method requires significant manual interaction and operator skill, consuming large amounts of time and reducing efficiency
Solution Approach 1:
The patent replaces the manual mechanical process of sequentially defining key points by technicians with an automated image processing system. The system automatically identifies and extracts the cervical margin line from digital images of tooth preparations, eliminating the need for manual point-by-point definition while maintaining extraction accuracy.
Solution Approach 2:
The extraction system performs self-service by automatically processing the image data and identifying the cervical margin line without requiring continuous human intervention. The algorithm independently completes the extraction task, reducing dependency on operator skill and manual interaction.
2Reliability
If key points are defined sequentially with manual interaction, then the cervical margin line can be extracted, but the method has certain requirements for operator skills and cannot guarantee consistent accuracy
Solution Approach 1:
The patent replaces the skill-dependent manual operation with an automated computational system. The image processing algorithm consistently applies the same extraction criteria regardless of operator expertise, ensuring reliable and reproducible results across different users and cases.
3Manufacturing precision
If manual point definition and connection algorithms are used, then the cervical margin line can be obtained, but the process consumes large amounts of manual interaction and operation time
Solution Approach 1:
The patent substitutes the time-consuming manual process of defining and connecting key points with an automated image processing pipeline. The system rapidly processes the image data and generates the cervical margin line extraction, significantly reducing the time required while maintaining precision through algorithmic consistency.
Data Source
AI summary
Embodiments of the present disclosure relate to a method, apparatus, device, and medium for extracting a cervical margin line of a tooth preparation, wherein the method includes: acquiring a three-dimensional digital model of the tooth preparation, and acquiring a candidate two-dimensional digital image corresponding to the three-dimensional digital model; determining a candidate cervical margin line according to the candidate two-dimensional digital image; and obtaining a target cervical margin line by performing error correction processing on the candidate cervical margin line in the three-dimensional digital model.