Automatic Implant Placement Planning for Missing-Tooth Areas
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Solution Overview
Problem
Existing implant surgery planning software requires numerous manual operations and clicks for placing implant structures, making the process cumbersome and inefficient.
Innovation Solution
A computer-implemented implant surgery planning method that includes automatic placement modes for single and multiple missing-tooth areas, utilizing tooth segmentation to recognize and place implant structures based on surrounding structure information, minimizing user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual operations are used for placing implant structures, then the user can control each placement precisely, but the operation process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically detecting missing-tooth areas through tooth segmentation before the user makes placement decisions. The software pre-processes the dental image data, identifies all missing teeth, and prepares placement options, allowing the user to review and approve rather than manually操作 each step, thus reducing time while maintaining precision
Solution Approach 2:
The system enables self-service by automatically placing implant structures based on pre-defined criteria and algorithms. Once the user selects the automatic placement mode and configures basic parameters, the software autonomously performs the placement process, adjusting positions and orientations without continuous user intervention, significantly reducing operational time while maintaining acceptable precision through built-in validation
2Ease of operation
If automatic placement mode is used, then the operation process is simplified and time is reduced, but the complexity of the system increases
Solution Approach 1:
The system extracts and separates the complex automatic placement functionality into a distinct mode that can be independently activated. Users can choose between manual and automatic placement modes, allowing them to access the simplified automatic mode when appropriate without being forced to deal with the underlying complexity. The complex algorithms for tooth segmentation, missing-tooth detection, and automatic positioning are encapsulated within the automatic placement module
Solution Approach 2:
The system achieves universality by designing a unified platform that handles both manual and automatic placement modes, as well as single-tooth and multi-tooth scenarios. The automatic placement algorithm is designed to work across different dental conditions and implant types, reducing the need for multiple specialized tools and simplifying the overall system architecture while providing comprehensive functionality
3Productivity
If automatic placement is implemented for all missing teeth, then productivity is improved, but the risk of incorrect placement increases
Solution Approach 1:
The system implements feedback mechanisms where the automatic placement results are displayed to the user for review before final execution. The software provides visual feedback showing detected missing-tooth areas, proposed implant positions, and relevant measurements, allowing the user to verify correctness and make adjustments if needed. This feedback loop ensures that automatic placement maintains high reliability by combining machine efficiency with human oversight
Solution Approach 2:
The system applies partial automation selectively - it can automatically place implants for some teeth while leaving others for manual placement, or perform automatic placement with varying levels of user confirmation required. This allows the system to achieve high productivity for straightforward cases while maintaining high reliability for complex cases that require additional verification or manual intervention, rather than applying a one-size-fits-all approach
Data Source
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AI summary
Disclosed are an implant surgery planning method using automatic placement of an implant structure, a user interface providing method therefor, and a teeth image processing device therefor. One embodiment provides an implant surgery planning method using automatic placement of an implant structure, a user interface providing method therefor, and a teeth image processing device therefor, wherein during planning, placement of an implant structure is automatically performed with respect to all missing-tooth areas as well as a single missing-tooth area in a teeth image, and placement of an implant structure is automatically performed on the basis of information on relation with a surrounding structure of the missing-tooth area, whereby the present invention increases a user's convenience.