3D Data Registration via 2D Projection Matching
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Solution Overview
Problem
The challenge in medical diagnostics and treatment is accurately combining three-dimensional data from different devices with unique coordinate systems, often leading to inaccurate registration due to incorrect initial positioning, which can be time-consuming and inefficient.
Innovation Solution
A method that converts three-dimensional data into two-dimensional data, allowing for the determination of matching areas and initial positions based on curvature data, thereby improving the accuracy and efficiency of data registration by setting appropriate initial positions for registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct three-dimensional data registration is performed without proper initial positioning, then the registration process can be completed, but the registration accuracy deteriorates due to incorrect initial position
Solution Approach 1:
The patent applies preliminary action by first converting three-dimensional data into two-dimensional data and performing matching on this preliminary two-dimensional representation before conducting the final three-dimensional registration. This preliminary matching step establishes correct initial positions, avoiding the accuracy deterioration that would occur with direct three-dimensional registration from incorrect initial positions.
Solution Approach 2:
The patent utilizes dimensionality change by transforming three-dimensional data into two-dimensional data for the initial matching process. This dimensional reduction simplifies the matching operation and enables more reliable initial position determination, which then serves as the foundation for accurate three-dimensional registration.
2Productivity
If erroneous initial position is designated for three-dimensional data registration, then the registration process can proceed, but the registration time increases significantly to reach optimal registration
Solution Approach 1:
By performing two-dimensional matching as a preliminary action before three-dimensional registration, the system establishes correct initial positions that guide the subsequent registration process. This eliminates the need for extensive iterations to correct erroneous initial positions, thereby significantly reducing registration time while maintaining high efficiency.
3Adaptability or versatility
If three-dimensional data from multiple devices with different coordinate systems are combined, then comprehensive diagnosis and treatment information can be obtained, but the coordinate system conversion complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the data integration process into distinct stages: first converting three-dimensional data to two-dimensional data for matching, then using the matched positions to establish coordinate transformations. This segmentation simplifies the overall complexity by handling coordinate system conversion in manageable steps rather than attempting a monolithic solution.
Solution Approach 2:
The patent uses two-dimensional data as an intermediary representation that facilitates matching between three-dimensional data from different coordinate systems. This intermediary approach simplifies the coordinate system conversion process by providing a common reference framework for initial matching before final three-dimensional alignment.
Data Source
AI summary
A method and a device for registering three-dimensional data are disclosed. The method for registering three-dimensional data comprises: generating first two-dimensional data by two-dimensionally converting first three-dimensional data indicating a surface of a three-dimensional model of a target, generating second two-dimensional data by two-dimensionally converting second three-dimensional data indicating at least a part of the three-dimensional surface of the target; determining a first matching region in the first two-dimensional data and a second matching region in the second two-dimensional data by matching the second two-dimensional data to the first two-dimensional data; setting, as initial position, a plurality of points of the first three-dimensional data, which correspond to the first matching region and a plurality of points of the second three-dimensional data, which correspond to the second matching region; and registering the first three-dimensional data and the second three-dimensional data using the initial position.