3D Reconstruction from Projective Views Using Multi-Object Statistical Models
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Solution Overview
Problem
Current methods for three-dimensional reconstruction from projective views, such as radiographic images, either provide low-dose two-dimensional information or high-dose three-dimensional information, and existing models are limited to single-object reconstructions, failing to accurately represent overlapping anatomical structures and internal appearances.
Innovation Solution
A method for obtaining a three-dimensional reconstruction from projective views using a multi-object statistical model that incorporates statistical information of shape and appearance, along with relative spatial relationships between objects, allowing for the adjustment of simulated projections to maximize similarity with true projective views, enabling realistic reconstructions of overlapping anatomical structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If volumetric imaging devices (CT scan, MRI) are used to obtain three-dimensional information, then measurement precision and information completeness are improved, but radiation dose and financial cost increase significantly
Solution Approach 1:
The patent creates a three-dimensional statistical model that copies the essential anatomical structures and their spatial relationships from training data. This virtual model can be adjusted and manipulated without exposing patients to additional radiation, as it is a computational representation rather than a physical imaging process.
Solution Approach 2:
The patent changes the approach from direct physical imaging to statistical parameter modeling. By using statistical models that capture variations in anatomical parameters, the system can generate three-dimensional information through computational adjustment of model parameters rather than through additional physical imaging with radiation.
2Measurement precision
If subject-specific three-dimensional modeling is performed, then diagnostic precision is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent performs preliminary actions by creating a comprehensive three-dimensional statistical model during an offline training phase using training data from multiple subjects. This pre-computed model incorporates statistical variations of anatomical structures, so that during actual diagnosis, only simple parameter adjustments are needed rather than complex real-time modeling.
Solution Approach 2:
The patent inverts the traditional approach by first building a general statistical model from multiple subjects, then adapting it to individual patients through parameter adjustment. Instead of building a custom model for each patient (which would be complex), the system starts with a pre-built statistical model and simplifies the individualization process.
3Loss of information
If multiple overlapping objects are reconstructed simultaneously, then information completeness is improved, but manufacturing precision and reconstruction accuracy become more difficult to maintain
Solution Approach 1:
The patent segments the reconstruction problem by creating separate statistical models for different anatomical structures (e.g., vertebrae, ribs, pelvis) while maintaining their spatial relationships. Each structure can be modeled and adjusted independently within the unified three-dimensional framework, making the complex multi-object reconstruction more manageable and accurate.
Solution Approach 2:
The patent merges multiple individual object models into a unified three-dimensional statistical model that preserves the spatial relationships between overlapping structures. By combining the models within a coordinated framework that enforces anatomical constraints, the system maintains reconstruction accuracy while representing multiple objects simultaneously.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method provides a realistic three-dimensional personalized reconstruction of both shape and appearance for multiple overlapping objects, improving diagnostic accuracy by incorporating detailed anatomical information, including bone density and spatial relationships, which is essential for assessing pathologies and fracture risks.
Implementation Method 1
radiographic projective views obtained by means of X-rays
Data Source
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Figure 3~4
AI summary
Method for obtaining a three-dimensional reconstruction from one or more projective views, and use thereof The method comprises carrying out a 3D/2D registration process for adjusting a three- dimensional multi-object statistical model with statistical information of the shape and appearance of two or more objects and information about relative spatial relationships between different poses of the objects, in order to maximize the similarity between a simulated projection generated from the three-dimensional statistical model, and a true projective view (V). The use consists of using the three-dimensional reconstruction (R) obtained by means of the method for diagnosis.