Intraoral 3D Image Cleanup for Accurate Tooth Data Deletion
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Solution Overview
Problem
Existing intraoral scanning methods inaccurately delete unnecessary data, leading to loss of adjacent tooth data or retention of noise data, requiring re-scanning.
Innovation Solution
An intraoral image processing method that identifies and accurately deletes unnecessary data by distinguishing between scanned and unscanned surface areas based on angle vectors and normal vectors, using color and texture differentiation, and allows for user or automated selection of deletion areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user arbitrarily selects and deletes unnecessary data on a display, then unnecessary data can be removed, but a portion of tooth data adjacent to the unnecessary data may be lost during deletion
Solution Approach 1:
The system automatically identifies and deletes unnecessary data (tongue, cheeks, dentist's finger) without requiring manual user selection. The processing apparatus autonomously performs the deletion operation by analyzing the scanned data to distinguish between necessary tooth data and unnecessary elements, thereby eliminating the risk of manual deletion errors while preserving adjacent tooth data.
Solution Approach 2:
The patent replaces the manual mechanical selection and deletion process with an automated computational system. The processing apparatus uses algorithms to automatically identify unnecessary data regions and perform deletion, substituting human manual operation with an automated digital processing system that achieves higher precision in distinguishing between necessary and unnecessary data.
2Reliability
If unnecessary data is not deleted accurately, then noise data remains in the oral data, but re-scanning must be performed to obtain lost tooth data
Solution Approach 1:
The system performs data deletion as a preliminary step before final processing and treatment planning. By automatically identifying and removing unnecessary data in the initial processing stage, the system prevents noise data from interfering with subsequent analyses, eliminating the need for re-scanning and ensuring data quality is established early in the workflow.
Solution Approach 2:
The processing apparatus provides feedback by displaying the identified unnecessary data regions to the user for confirmation before deletion. This feedback mechanism allows the user to verify the accuracy of automatic identification, ensuring that only truly unnecessary data is removed while preserving all necessary tooth data, thereby maintaining high data quality without requiring re-scanning.
3Ease of operation
If manual deletion is used to remove noise data, then deletion operation can be performed, but the operation becomes complex and time-consuming
Solution Approach 1:
The processing apparatus performs automatic identification and deletion of unnecessary data without requiring complex manual operations. The system self-services by autonomously analyzing the scanned data, identifying noise elements, and executing deletion, thereby simplifying the user's task to merely initiating the process and reviewing results, significantly reducing operational complexity.
Data Source
AI summary
Provided are an intraoral image processing method and an intraoral image processing apparatus. The intraoral image processing method includes obtaining three-dimensional (3D) intraoral data of a scanned object; creating a 3D intraoral image including a scanned surface area and a rear surface area of the scanned surface area, based on the 3D intraoral data; and deleting at least a portion of the rear surface area.