3D Bone Density Model for Fracture Risk Assessment
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Solution Overview
Problem
Current methods for assessing bone fracture risk using two-dimensional X-ray absorptiometry data are incomplete and inaccurate due to lack of consideration for bone structure and architecture, leading to inconsistent geometric parameter measurements.
Innovation Solution
A three-dimensional bone density model is constructed using a priori information from anatomical or statistical atlases combined with X-ray absorptiometry data from multiple angles, allowing for accurate measurement of geometric and structural properties such as cross-sectional moment of inertia and section modulus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If two-dimensional DXA images are used for bone analysis, then cost is reduced and accessibility is improved, but measurement precision and reliability of geometric parameters deteriorate
Solution Approach 1:
The patent transitions from two-dimensional DXA image analysis to three-dimensional bone modeling by integrating multiple DXA scans taken at different angles. This dimensional transformation allows reconstruction of 3D bone geometry and density distribution, enabling accurate measurement of geometric parameters (cross-sectional area, moment of inertia, section modulus) while maintaining the cost-effectiveness and accessibility of DXA technology.
2Measurement precision
If three-dimensional modeling techniques are used, then measurement precision and reliability of bone strength assessment are improved, but device complexity increases
Solution Approach 1:
The patent makes the existing DXA system multi-functional by enabling it to perform both traditional areal BMD measurement and 3D bone modeling functions. The system processes multiple scans at different angles and reconstructs 3D bone models, allowing a single DXA device to provide comprehensive bone strength assessment including geometric parameters, density distribution, and fracture risk evaluation without requiring separate CT or MRI systems.
Solution Approach 2:
The patent introduces computational algorithms and software processing as intermediaries between the DXA scanning hardware and the final bone strength assessment. These computational tools transform raw multi-angle scan data into 3D bone models and derive geometric parameters, effectively bridging the gap between simple 2D imaging and complex 3D analysis while keeping the physical hardware relatively simple.
3Ease of operation
If only BMD data is used for fracture risk assessment, then the assessment process is simplified, but reliability of fracture risk prediction deteriorates
Solution Approach 1:
The patent merges multiple types of bone information into a unified 3D bone model: areal BMD measurements from DXA scans, three-dimensional geometric properties (cross-sectional area, moment of inertia, section modulus), and density distribution data. This integration combines the simplicity of DXA-based BMD assessment with the comprehensive structural information needed for accurate fracture risk prediction, overcoming the limitations of using BMD alone.
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 approach provides more reliable and consistent assessment of bone strength and fracture risk by utilizing true density information and geometric properties, improving the accuracy of fracture prediction compared to two-dimensional methods.
Implementation Method 1
perform X-ray absorptiometric scans of the patient's body part of interest and collect X-ray absorptiometry data from the scans
Data Source
AI summary
A novel approach for analyzing a patient's body part of interest to a assess bone strength and/or risk of future fracture includes obtaining a priori information regarding the body part of interest (s11), performing X-ray absorptiometry scans of the patient's body part of interest and collecting the X-ray absorptiometry data from the scans (s13), constructing a three-dimensional model of the patient's body part of interest, by utilizing the a prior information along with the X-ray absorptiometry data (s15) and performing measurement of various geometric parameters on the three-dimensional geometric and structural properties (s17).