CBCT Tooth Lens Positioning for Clear Single-Tooth 3D Views
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Solution Overview
Problem
Current CT reading methods for dental diagnosis are cumbersome and lack clear visualization of individual teeth, requiring multiple operations and adjustments to position and view teeth, with 3D views often being cluttered and unclear.
Innovation Solution
A method using CBCT for automatic tooth positioning through AI calculation and rendering, including archiving CT data, generating AI results, entering CT reading, loading data, opening a tooth lens function, selecting a tooth position, and rendering in 3D modes to enhance clarity and precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional CT reading methods are used to view and analyze individual teeth, then multiple operations and adjustments are required to position and view teeth, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary action by automatically positioning the tooth of interest before the dentist needs to view it. The AI algorithm pre-calculates and pre-positions the 3D view to show the selected tooth in optimal orientation, eliminating the need for the dentist to manually adjust navigation lines, amplification, and angles. This preliminary automatic positioning resolves the contradiction by making the operation easier (no manual adjustments needed) and saving time (instant positioning).
Solution Approach 2:
The system applies self-service by enabling the CT reading software to automatically position and render individual teeth without human intervention. When a dentist selects a tooth from the list, the system autonomously calculates the optimal viewing angle, adjusts the 3D view, and presents the tooth clearly. This self-service capability eliminates the cumbersome manual operations and reduces the time required for tooth positioning, directly resolving the technical contradiction.
2Measurement precision
If multiple operations are performed to position and view individual teeth in traditional CT reading, then tooth positioning can be achieved, but the process becomes complex and cumbersome
Solution Approach 1:
The system replaces the mechanical system of manual operations (adjusting navigation lines, changing amplification, modifying angles) with an AI-based intelligent system. The AI algorithm automatically calculates the optimal viewing parameters and positions the tooth in 3D space based on the selected tooth number. This substitution maintains high positioning precision while eliminating the complexity of multiple manual operations, as the AI system handles all positioning tasks autonomously through intelligent computation rather than mechanical adjustment.
Solution Approach 2:
The system applies parameter changes by dynamically adjusting multiple viewing parameters (navigation line position, amplification level, rotation angle, transparency) simultaneously through a single automated process. Instead of requiring the dentist to manually change each parameter separately through multiple operations, the AI system changes all these parameters in one coordinated action to achieve optimal tooth visualization. This resolves the contradiction by maintaining precise positioning while reducing operational complexity.
3Loss of information
If 3D view transparency is adjusted to see through overlapping images, then more contents are visible, but the tooth presentation remains unclear and interference content is excessive
Solution Approach 1:
The system extracts and isolates the specific tooth of interest from the overlapping 3D dental structures. Instead of relying on transparency adjustments that leave interference content visible, the AI algorithm selectively renders only the selected tooth with high clarity while suppressing or removing other overlapping structures. This extraction approach maintains complete information about the tooth being examined while eliminating interference from other teeth and structures, thus resolving the contradiction between information completeness and visualization clarity.
Solution Approach 2:
The system applies local quality by providing different visualization qualities for different regions: the selected tooth is rendered with high clarity, detail, and opacity, while surrounding and overlapping structures are either suppressed, semi-transparent, or excluded. This localized differentiation allows the tooth of interest to be viewed clearly without interference, while still maintaining the ability to see contextual information when needed. The AI dynamically adjusts the quality and visibility of different anatomical regions based on the selected tooth, resolving the contradiction between showing all contents and maintaining clarity.
Data Source
AI summary
The present invention relates to the technical field of dental medical treatment, and specifically discloses a method for using a CBCT (Cone Beam Computer Tomography) for automatically positioning a tooth, which comprises the following steps: S01, archiving CT data; S02, calculating AI and generating AI results; S03, entering CT reading by a client; S04, downloading and loading the CT data; S05, opening a function of a tooth lens; S06, selecting a corresponding tooth position in a tooth position list; and S07, selecting a 3D tooth rendering mode. The function of the ‘tooth lens’ is added into traditional CT reading, which is suitable for clinical disease diagnoses such as ‘tooth extraction, root canal therapy, tooth repair’ and the like in oral treatment, and doctors can precisely and quickly position the single tooth through selection for the tooth position, which facilitates more comprehensive analysis.