Dental Arch Image Analysis Using Patient-Captured Neural Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current orthodontic treatments require manual analysis of dental arch images by orthodontists, which is inefficient and inconvenient for patients.
Innovation Solution
A method using deep learning devices, such as neural networks, to analyze dental arch images, combined with a process to enrich a training database by allowing patients to capture and process their own images under controlled conditions, enabling automatic and comprehensive image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual analysis of dental arch images by orthodontists is used, then analysis accuracy is maintained, but analysis efficiency and patient convenience deteriorate
Solution Approach 1:
The system enables patients to capture their own dental arch images using mobile devices and automatically analyzes them through the deep learning system, eliminating the need for professional assistance in image capture and initial analysis, thereby dramatically improving efficiency while maintaining accuracy through automated deep learning evaluation
Solution Approach 2:
The patent replaces the manual mechanical analysis process by orthodontists with an automated deep learning system that uses neural networks to automatically evaluate dental arch images, substituting human manual inspection with algorithmic image processing and analysis
2Extent of automation
If deep learning devices are used to analyze dental arch images, then analysis speed and automation are improved, but the need for comprehensive training data and system complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically capturing, preprocessing, and preparing dental arch images before analysis, including automatic image enhancement, normalization, and feature extraction, which simplifies the overall system by handling routine tasks in advance
Solution Approach 2:
The deep learning system segments the complex analysis task into distinct modules: image preprocessing, feature extraction, dental structure identification, and evaluation generation, allowing each component to be optimized independently and reducing overall system complexity through modular architecture
3Ease of operation
If patients capture their own images under controlled conditions, then professional assistance requirements are reduced, but image quality control and processing time increase
Solution Approach 1:
The system implements rapid image processing techniques that skip unnecessary preprocessing steps by leveraging the controlled capture conditions, directly proceeding to key analysis stages and reducing overall processing time while maintaining quality standards
Solution Approach 2:
The system dynamically adjusts processing parameters based on the captured image characteristics, optimizing processing speed by modifying analysis thresholds, resolution requirements, and evaluation criteria according to the specific image quality and patient conditions
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
"Method for analyzing an image of a dental arch" Method for analyzing an image of a patient's dental arch, called "analysis image", comprising: - the acquisition of the analysis image with a mobile phone, the analysis image being in color and chosen from a photograph and/or an image extracted from a film, the acquisition being carried out by the patient;- the submission of the analysis image to a neural network, in order to determine at least one value of an image attribute relating to the analysis image, said image attribute being relating to - a therapeutic situation, or - a position and/or an orientation and/or a calibration of the acquisition device used to acquire said analysis image, or - a quality of the analysis image, or - the brightness, contrast or sharpness of the analysis image, or - the representation of the arches, tongue, mouth, lips, jaws, gums, or a dental appliance, - the position of the tongue or the opening of the patient's mouth or the condition of a dental appliance represented on the analysis image.;