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Research Papers

Fast Tool for Evaluation of Iliac Crest Tissue Elastic Properties Using the Reduced-Basis Methods

[+] Author and Article Information
Taeyong Lee1

Division of Bioengineering, National University of Singapore, Block E1, No. 08-03, 9 Engineering Drive 1, 117576, Singaporebielt@nus.edu.sg

Revanth Reddy Garlapati

Division of Bioengineering, National University of Singapore, Block E3A, No. 07-15, 7 Engineering Drive 1, 117574, Singaporebiegrr@nus.edu.sg

Kathy Lam

Division of Bioengineering, National University of Singapore, Block E3A, No. 07-15, 7 Engineering Drive 1, 117574, Singaporektlam85@hotmail.com

Peter Vee Sin Lee

Department of Mechanical Engineering, Melbourne School of Engineering, University of Melbourne, 3010, Australiapvlee@unimelb.edu.au

Yoon-Sok Chung

Department of Endocrinology and Metabolism, School of Medicine, Ajou University, Suwon 443-749, Koreayschung@ajou.ac.kr

Jae Bong Choi

Department of Mechanical Systems Engineering, Hansung University, 389 samsoon-dong 2-ga, Seongbuk-gu, Seoul, Koreajbchoi@hansung.ac.kr

Tan Beng Chye Vincent

Department of Mechanical Engineering, Faculty of Engineering, National University of Singapore, 117576, Singaporempetanbc@nus.edu.sg

Shamal Das De

Department of Orthopaedic Surgery, Yong Loo Lin School of Medicine, National University Hospital, 119074, Singaporedosdasde@nus.edu.sg

1

Corresponding author.

J Biomech Eng 132(12), 121009 (Nov 09, 2010) (8 pages) doi:10.1115/1.4001254 History: Received November 26, 2009; Revised February 03, 2010; Posted February 11, 2010; Published November 09, 2010; Online November 09, 2010

Computationally expensive finite element (FE) methods are generally used for indirect evaluation of tissue mechanical properties of trabecular specimens, which is vital for fracture risk prediction in the elderly. This work presents the application of reduced-basis (RB) methods for rapid evaluation of simulation results. Three cylindrical transiliac crest specimens (diameter: 7.5 mm, length: 10–12 mm) were obtained from healthy subjects (20 year-old, 22 year-old, and 24 year-old females) and scanned using microcomputed tomography imaging. Cubic samples of dimensions 5×5×5mm3 were extracted from the core of the cylindrical specimens for FE analysis. Subsequently, a FE solution library (test space) was constructed for each of the specimens by varying the material property parameters: tissue elastic modulus and Poisson’s ratio, to develop RB algorithms. The computational speed gain obtained by the RB methods and their accuracy relative to the FE analysis were evaluated. Speed gains greater than 4000 times, were obtained for all three specimens for a loss in accuracy of less than 1% in the maxima of von-Mises stress with respect to the FE-based value. The computational time decreased from more than 6 h to less than 18 s. RB algorithms can be successfully utilized for real-time reliable evaluation of trabecular bone elastic properties.

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Figures

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Figure 1

Geometry of Iliac crest sample in MIMICS 8.1 package

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Figure 2

Visualization of boundary conditions in a typical sample

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Figure 3

Outline of RB methodology

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Figure 4

Comparison of von-Mises stress results from our FE solver and ABAQUS 6.5 package

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Figure 5

Contours of von-Mises stresses (MPa) for the three samples obtained from our FE solver

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Figure 6

Contours of axial strains along x, y, and z axes obtained from our FE solver

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Figure 7

Contours of shear strains in x-y, y-z, and z-x planes for samples obtained from our FE solver

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