3D Cephalometric Analysis System for Orthodontic Treatment Planning
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Solution Overview
Problem
Conventional 2-D cephalometric analysis in orthodontics is plagued by inaccuracies and inconsistencies due to limitations in data acquisition, primarily focusing on aesthetics without considering balance and symmetry, and requires multiple CBCT scans that increase radiation exposure, especially in children.
Innovation Solution
A method for 3-D longitudinal cephalometric analysis using optical intraoral scans and previous CBCT data, integrating human operator skills with computer capabilities for feature identification, allowing for updated analysis without additional x-ray exposure by acquiring and analyzing changes in teeth position and orientation between CBCT and optical scans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional 2-D cephalometric analysis is used, then the analysis process is simple, but measurement precision and reliability are poor
Solution Approach 1:
The patent transitions from conventional 2-D cephalometric analysis to 3-D volumetric analysis by acquiring three-dimensional image data of the patient's head. This dimensional upgrade allows for more accurate measurement of craniofacial structures, landmarks, and angles while eliminating the limitations of planar geometry in analyzing anatomical volumes and their growth.
Solution Approach 2:
The patent introduces a computer system as an intermediary that processes and analyzes the 3-D image data. The computer performs automated landmark identification, calculates cephalometric parameters, and generates treatment predictions, thereby improving measurement precision while managing the complexity through computational automation.
2Reliability
If multiple CBCT scans are performed for longitudinal analysis, then updated cephalometric data is obtained, but radiation exposure increases
Solution Approach 1:
The patent performs a comprehensive 3-D cephalometric analysis at the initial stage to establish baseline measurements and treatment predictions. By obtaining complete 3-D data upfront, the system reduces the need for repeated CBCT scans during longitudinal monitoring, thereby maintaining reliability while minimizing radiation exposure to the patient.
3Loss of information
If 3-D volumetric data is acquired, then balance and symmetry analysis is enabled, but data acquisition complexity increases
Solution Approach 1:
The patent acquires 3-D volumetric image data that captures the complete anatomical structure of the patient's head. This enables comprehensive analysis of balance and symmetry about the human face, providing complete information about craniofacial relationships that cannot be obtained from 2-D projections.
Solution Approach 2:
The patent replaces complex manual data acquisition and measurement procedures with automated computer-based image processing. The computer system automatically identifies landmarks, calculates parameters, and analyzes symmetry and balance, thereby reducing data acquisition complexity despite the increased dimensionality of the data.
4Productivity
If automated computer analysis is used, then productivity is improved, but ease of operation decreases
Solution Approach 1:
The patent implements an automated computer system that performs cephalometric analysis independently without requiring manual intervention for measurements and calculations. The system automatically processes 3-D image data, identifies landmarks, computes parameters, and generates treatment predictions, thereby improving productivity while maintaining ease of operation through user-friendly interfaces.
Data Source
AI summary
Method and/or apparatus embodiments for 3-D cephalometric analysis of a patient, acquires reconstructed volume image data from a computed tomographic scan of a patient's head including one or more dentition elements within the mouth of the patient, and computes one or more cephalometric parameters for the patient according to the reconstructed volume image data and the one or more dentition elements. One or more results generated from cephalometric analysis of the one or more computed cephalometric parameters can be stored, transmitted or displayed. The reconstructed volume image data is updated with 3D surface model from a subsequent optical scan of the patient's dentition and the one or more cephalometric parameters for the patient are re-computed based on the updated reconstructed volume image data.