Accurate and Efficient Plate and Rod Microfinite Element Models for Whole Bone Segments Based on High-Resolution...

Area of Science:

• Biomechanics
• Medical Imaging
• Computational Modeling

Background:

• High-resolution peripheral quantitative computed tomography (HR-pQCT) enables detailed bone microstructure visualization.
• Patient-specific microfinite element (μFE) models are crucial for understanding bone mechanics.
• Existing voxel-based μFE models can be computationally intensive.

Purpose of the Study:

• To develop and validate a novel plate-and-rod μFE (PR μFE) modeling method based on HR-pQCT images.
• To assess the accuracy and efficiency of the PR μFE method compared to conventional approaches.
• To evaluate the clinical utility of PR μFE models in discriminating fracture patients.

Main Methods:

• Developed a PR μFE method using individual trabecula segmentation (ITS) and adaptive cortical meshing on HR-pQCT data.
• Simplified trabecular architecture into shell and beam elements.
• Performed nonlinear analyses of stiffness and yield strength.

Main Results:

• HR-pQCT-based PR μFE models showed high correlation and accuracy with voxel-based μFE models and mechanical testing.
• The PR μFE approach reduced model size by approximately 300-fold and computation time significantly.
• Predicted yield strength effectively discriminated between patients with and without vertebral fractures.

Conclusions:

• The PR μFE model accurately predicts the mechanics of whole bone segments from HR-pQCT images.
• This method offers a computationally efficient alternative for clinical applications.
• PR μFE modeling holds potential as a valuable tool for assessing musculoskeletal diseases and fracture risk.