3D Intraoral Scan Model Geometric Distortion Correction
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Solution Overview
Problem
Three-dimensional (3D) intraoral scan data often experiences geometric distortion due to matching errors when reconstructing oral cavity models, leading to discrepancies between CT images and scan data.
Innovation Solution
A method and device that generate and correct depth maps from CT images and scan data using rotation and translation matrices to align the coordinate systems, minimizing geometric distortion by merging corrected point clouds into a 3D intraoral scan model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple scan frames are matched to reconstruct 3D intraoral scan data, then complete oral cavity coverage is achieved, but geometric distortion accumulates due to matching errors
Solution Approach 1:
The patent introduces a CT image as an intermediary reference with known geometric accuracy to mediate the matching process between multiple scan frames. By using the CT image as a common reference frame, the system avoids direct frame-to-frame accumulation of matching errors, thereby maintaining geometric accuracy while achieving complete oral cavity coverage through multiple scans.
2Measurement precision
If camera position and orientation are precisely measured for each frame, then matching accuracy improves, but measurement complexity and time increase
Solution Approach 1:
The patent creates a virtual 3D model (copy) of the oral cavity from the CT image, which serves as a reference for matching scan frames. This virtual model eliminates the need for complex physical measurement systems to track camera positions, as the geometric relationships are established through digital image processing and 3D reconstruction algorithms instead of sophisticated measurement hardware.
Data Source
AI summary
Disclosed is a device for matching three-dimensional intra-oral scan data, the device comprising a computed tomography (CT) image depth map generation unit, a depth map coordinate difference information determination unit, a depth map correction unit, and an intra-oral scan model recovery unit. The CT image depth map generation unit generates a depth map of a CT frame from a CT image by using information about a single scan frame of the scan data. The depth map coordinate difference information determination unit determines depth map coordinate difference information between the depth map of the CT frame and a depth map of the scan frame. The depth map correction unit corrects the depth map of the scan frame on the basis of the depth map coordinate difference information. The intra-oral scan model recovery unit recovers a three-dimensional intra-oral scan model on the basis of the corrected depth map of the scan frame.