AI Oral CT Color Conversion for Bone Density Visualization
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Solution Overview
Problem
Current image generation systems for dental implant diagnosis inaccurately indicate bone density of the alveolar bone, making it difficult for doctors to determine optimal implant placement positions, as they only provide achromatic contrast and do not separately indicate bone densities at virtual positions where implants are to be placed.
Innovation Solution
An artificial intelligence-based oral CT automatic color conversion device that automatically converts colors on a screen based on the bone density of the alveolar bone, using a control unit to preprocess and adjust image parameters, allowing for accurate visualization of bone densities and optimal implant placement positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If achromatic contrast is used to indicate bone density, then the device complexity is reduced, but the recognition accuracy of bone density decreases
Solution Approach 1:
The patent applies color mapping to represent different bone density values, where specific color ranges correspond to specific bone density ranges. This allows doctors to quickly and accurately recognize bone density at virtual implant positions through color-coded visualization, resolving the contradiction between simplicity and accuracy by using color as an intuitive visual indicator without adding complex processing.
2Device complexity
If overall bone density is indicated only, then the information processing is simplified, but the identification of optimal implant placement positions becomes time-consuming
Solution Approach 1:
The patent segments the bone density information by specifically highlighting and color-coding the bone density at virtual implant positions, separating this critical information from the overall bone density data. This segmentation allows doctors to immediately identify optimal implant placement positions without manually analyzing the entire bone structure, thus reducing time loss while maintaining manageable information processing complexity.
3Measurement precision
If manual color adjustment is performed for each case, then the color accuracy can be optimized, but the productivity of the diagnosis system decreases
Solution Approach 1:
The patent establishes predetermined color mapping relationships between bone density values and color representations before actual diagnosis. These pre-defined color schemes are stored and automatically applied during diagnosis, eliminating the need for manual color adjustment in each case while maintaining consistent and accurate color representation. This preliminary action significantly improves diagnostic productivity without sacrificing color accuracy.
Solution Approach 2:
The system automatically selects and applies appropriate color mappings based on the input bone density data, making the system self-sufficient in color calibration. The automatic color assignment based on pre-defined rules eliminates manual intervention, allowing the system to serve itself in maintaining color accuracy while maximizing diagnostic efficiency.
Data Source
AI summary
The present disclosure relates to an artificial intelligence-based oral CT automatic color conversion device and a method for driving same. The artificial intelligence-based oral CT automatic color conversion device according to an embodiment of the present invention comprises: a storage unit which stores a color conversion image related to the bone density of an alveolar bone, which is previously prepared by a user; and a control unit which, when an oral CT input image of a patient is received, converts color of the received oral CT input image on the basis of a predetermined parameter value, and adjusts the predetermined parameter value by using an error value resulting from the converted oral CT input image and the (pre)stored color conversion image to automatically convert the color of an oral CT input image to be input later.