Automated Anatomical Landmark Prediction in Orthodontic Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current orthodontic analysis methods rely heavily on manual identification of anatomical landmarks by medical personnel, leading to variability in treatment plan accuracy due to proficiency differences, and existing programs require inputting landmarks one by one, which is cumbersome and accuracy-dependent.
Innovation Solution
A method and device using prediction models, specifically a lateral facial region prediction model and a landmark prediction model, to automatically predict anatomical landmarks in medical lateral head images, improving accuracy and efficiency by processing images with gradient boosting and support vector machine algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification of anatomical landmarks by medical personnel is used, then flexibility and adaptability are maintained, but accuracy deteriorates due to proficiency differences
Solution Approach 1:
The patent replaces the manual mechanical identification process with an automated image processing system that uses coordinate information from medical lateral head images to predict anatomical landmark positions. This substitution eliminates human proficiency variability while maintaining system adaptability through programmable algorithms.
Solution Approach 2:
The system enables self-service by automatically detecting anatomical landmarks without requiring manual input from medical personnel. The automated prediction model processes images and identifies landmarks independently, freeing personnel from tedious manual tasks while improving consistency.
2Ease of operation
If existing orthodontic analysis programs are used, then some automation is achieved, but ease of operation deteriorates due to the requirement to input landmarks one by one
Solution Approach 1:
The system performs self-service by automatically predicting all anatomical landmark positions from the medical lateral head image without requiring manual input. This eliminates the time-consuming step-by-step landmark entry process while maintaining full operational functionality.
Solution Approach 2:
The system performs preliminary action by pre-processing the medical lateral head image to automatically extract and predict landmark coordinates before the actual orthodontic analysis begins. This preliminary automated detection eliminates the need for subsequent manual landmark input.
3Productivity
If manual landmark identification is used, then adaptability to different cases is maintained, but productivity deteriorates due to time-consuming manual processes
Solution Approach 1:
The patent replaces manual landmark identification with an automated prediction system that processes medical lateral head images using coordinate-based algorithms. This substitution dramatically increases productivity by eliminating the time-consuming manual search and marking process while maintaining case-specific adaptability.
Solution Approach 2:
The system creates a digital copy of the anatomical landmark positions by predicting coordinates from the image data. This digital copying process automates the landmark identification while preserving the ability to adapt to different anatomical variations through the prediction algorithm.
Data Source
AI summary
The present disclosure provides a method of predicting anatomical landmarks which includes: receiving a medical lateral head image of a subject; predicting landmarks in the medical lateral head image using a landmark prediction model configured to predict anatomical landmarks in the medical lateral head image; and providing an image with the landmark marked, and a device using the method.