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research-article

Accurate and Efficient Plate and Rod Micro Finite Element Whole Bone Models Based on High-Resolution Peripheral Computed Tomography

[+] Author and Article Information
Ji Wang

Bone Bioengineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York, U.S.A
wj_harbin@163.com

Bin Zhou

Bone Bioengineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York, U.S.A
binzhou403@gmail.com

Yizhong Hu

Bone Bioengineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York, U.S.A
yh2794@columbia.edu

Zhendong Zhang

Bone Bioengineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York, U.S.A; Department of Orthopedic Surgery, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, Xinjiang, China
zzd070611@163.com

Y. Eric Yu

Bone Bioengineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York, U.S.A
felixyyvv@gmail.com

Shashank Nawathe

Orthopaedic Biomechanics Laboratory, Department of Mechanical Engineering, University of California, Berkeley, California, U.S.A
nawathe.shashank@gmail.com

Kyle K. Nishiyama

Division of Endocrinology, Department of Medicine, Columbia University, New York, New York, U.S.A
kyle.nishiyama@gmail.com

Tony M. Keaveny

Orthopaedic Biomechanics Laboratory, Department of Mechanical Engineering, University of California, Berkeley, California, U.S.A
tonykeaveny@berkeley.edu

Elizabeth Shane

Division of Endocrinology, Department of Medicine, Columbia University, New York, New York, U.S.A
es54@columbia.edu

X. Edward Guo

Bone Bioengineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, New York, U.S.A
exg1@columbia.edu

1Corresponding author.

ASME doi:10.1115/1.4042680 History: Received December 02, 2017; Revised January 11, 2019

Abstract

The high-resolution peripheral quantitative computed tomography (HRpQCT) provides unprecedented visualization of bone microstructure and the basis for constructing patient-specific micro-finite element (µFE) models. Based on HRpQCT images, we have developed a plate rod µFE (PRµFE) method for whole bone segments using individual trabecula segmentation (ITS) and an adaptive cortical meshing technique. In contrast to the conventional voxel approach, the complex microarchitecture of the trabecular compartment is simplified into shell and beam elements based on the trabecular plate-and-rod configuration. Compared to voxel-based µFE models of µCT and mechanical testing, nonlinear analyses of stiffness and yield strength using the HRpQCT-based PRµFE models demonstrated high correlation and accuracy, indicating that the combination of segmented trabecular plate-rod morphology and adjusted cortical mesh adequately captures mechanics of the whole bone segment. Meanwhile, the PRµFE approach reduced model size by nearly 300-fold and shortened computation time for nonlinear analysis from days to within hours, permitting broader clinical application of HRpQCT-based nonlinear µFE modeling. Furthermore, the presented approach was tested using a subset of radius and tibia HRpQCT scans of patients with prior vertebral fracture from a previous study. Results indicated that yield strength for radius and tibia predicted by the PRµFE model was effective in discriminating vertebral fracture subjects from non-fractured controls. In conclusion, the PR µFE model of HRpQCT images accurately predicted mechanics for whole bone segments and can serve as a valuable clinical tool to evaluate musculoskeletal diseases.

Copyright (c) 2019 by ASME
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