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Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
Published on: March 14, 2018
Continuum finite element analysis generalizesin vivotrabecular bone microstructural strength measures between two CT
Indranil Guha1, Xiaoliu Zhang1, Syed Ahmed Nadeem2
1Department of Electrical and Computer Engineering, College of Engineering, University of Iowa, Iowa City, IA, United States of America.
Nonlinear finite element analysis accurately measures trabecular bone strength from CT scans. These methods are reproducible across different CT scanner resolutions, aiding osteoporosis management.
Area of Science:
- Biomedical Engineering
- Radiology
- Orthopedics
Background:
- Osteoporosis increases trabecular bone (Tb) fragility, leading to bone loss and fracture risk.
- Accurate in vivo assessment of Tb strength is crucial for osteoporosis management and understanding pathogenesis.
- High-resolution CT technology offers potential for in vivo Tb imaging but faces challenges due to scanner resolution variations.
Purpose of the Study:
- To present and evaluate nonlinear continuum finite element (FE) methods for computing Tb strength from in vivo CT imaging.
- To assess the generalizability of these FE methods between CT scanners with different image resolutions.
Main Methods:
- Nonlinear continuum finite element (FE) methods were developed to compute Tb strength from in vivo CT images.
- Ankle images from twenty healthy volunteers were acquired using low- and high-resolution CT scanners on separate occasions.
- Reproducibility and stress propagation patterns were analyzed under various loading conditions.
Main Results:
- Continuum FE-based Tb strength measures demonstrated high reproducibility (ICC ≥ 0.93) between scanners.
- FE stress propagation was primarily confined to the Tb micro-network, with minimal leakage into the marrow space.
- Results complied with fundamental mechanical principles for in vivo imaging.
Conclusions:
- Nonlinear continuum FE-based Tb strength measures are reproducible across different CT scanners.
- These methods are suitable for multi-site longitudinal human studies, advancing osteoporosis research and clinical assessment.
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