Local High-Resolution 3D Skeletal Imaging via Finite Element Segmentation
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Solution Overview
Problem
Current medical imaging technologies fail to accurately diagnose osteoporosis due to limitations in capturing high-resolution 3D bone microstructures, leading to misdiagnosis and late detection, as they primarily measure bone mineral density without considering bone quality or microstructure, and existing high-resolution imaging methods cannot effectively analyze the 3D microstructure of the lumbar spine and femur.
Innovation Solution
A method and apparatus for local high-resolution imaging of 3D skeletal images using finite element methods and topology optimization to reconstruct high-resolution images of bone microstructures, reducing calculation load and radiation exposure by focusing on specific volumes of interest and applying multi-resolution constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional BMD measurement methods (DXA) are used, then measurement time is short and radiation dose is low, but bone microstructure information is not provided leading to potential misdiagnosis
Solution Approach 1:
The patent divides the imaging process into two segments: a low-resolution full-field scan for localization and a high-resolution focused scan for detailed microstructure analysis. This segmentation allows the system to obtain detailed bone microstructure information only in regions of interest, reducing overall radiation exposure while improving measurement precision for bone quality assessment
Solution Approach 2:
The system applies different imaging qualities to different regions: low-resolution imaging for the entire field of view and high-resolution imaging only for localized volumes of interest containing bone structures. This local quality approach provides detailed bone microstructure information where needed while minimizing radiation dose to the entire patient body
2Measurement precision
If high-resolution imaging is performed on the entire skeletal image, then bone microstructure information is obtained, but calculation load and processing time increase significantly
Solution Approach 1:
The patent segments the skeletal image into multiple volumes of interest (VOIs) and processes only these localized regions at high resolution. By dividing the entire skeletal image into manageable VOIs and applying high-resolution processing only to these segments, the system obtains detailed bone microstructure information while significantly reducing calculation load and processing time compared to processing the entire image at high resolution
Solution Approach 2:
The system performs high-resolution imaging only on partial regions (volumes of interest) rather than the entire skeletal image. This partial action approach applies excessive detail only where bone microstructure analysis is needed, avoiding the excessive processing time that would result from applying the same high resolution to the entire image
3Measurement precision
If high-resolution imaging is performed on the entire skeletal image, then bone microstructure is captured, but radiation exposure increases
Solution Approach 1:
The patent segments the imaging process into a first low-resolution scan of the entire field and a second high-resolution scan of only the localized volumes of interest. This segmentation enables the system to capture detailed bone microstructure information in specific regions while minimizing radiation exposure to the entire patient body by avoiding high-resolution imaging in non-critical areas
Solution Approach 2:
The system applies high imaging quality (high resolution) only locally to volumes of interest containing bone structures, while using low resolution for the rest of the field. This local quality approach captures necessary bone microstructure details with high precision while reducing overall radiation exposure by limiting high-resolution imaging to minimal necessary regions
Data Source
AI summary
A local high-resolution imaging method and apparatus for a three-dimensional (3D) skeletal image is provided. The method includes determining a volume of interest (VOI) to perform high-resolution imaging from the 3D skeletal image in which an object to be inspected is captured, localizing the VOI based on a finite element method (FEM), and setting a multi-resolution constraint based on a bone mineral density (BMD) between the 3D skeletal image and the localized VOI and reconstructing a skeletal image in which high-resolution imaging is performed on the localized VOI.