Fast tool for evaluation of iliac crest tissue elastic properties using the reduced-basis methods

Lee, Taeyong; Garlapati, Revanth Reddy; Lam, Kathy; Lee, Peter Vee Sin; Chung, Yoon-Sok; Choi, Jae Bong; Vincent, Tan Beng Chye; De, Shamal Das

Affiliations

¹Division of Bioengineering, National University of Singapore, Block E1, No. 08-03, 9 Engineering Drive 1, 117576, Singapore

²Division of Bioengineering, National University of Singapore, Block E3A, No. 07-15, 7 Engineering Drive 1, 117574, Singapore

³Department of Mechanical Engineering, Melbourne School of Engineering, University of Melbourne, 3010, Australia

⁴Department of Endocrinology and Metabolism, School of Medicine, Ajou University, Suwon 443-749, Korea

⁵Department of Mechanical Systems Engineering, Hansung University, 389 samsoon-dong 2-ga, Seongbuk-gu, Seoul, Korea

⁶Tan Beng Chye Vincent Department of Mechanical Engineering, Faculty of Engineering, National University of Singapore, 117576, Singapore

⁷Department of Orthopaedic Surgery, Yong Loo Lin School of Medicine, National University Hospital, 119074, Singapore

Abstract and keywords

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 5×5×5 mm³ 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.

Keywords: iliac crest trabeculae, reduced-basis method, elastic property, computational speed gain, finite element methods

Links

DOI: 10.1115/1.4001254

PubMed: 21142323

WoS: 000285362900009

History

Received: 2009-11-26

Revised: 2010-02-03

Accepted: 2010-02-11

Online: 2010-11-09

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Cited By (1)

Year	Entry
2019	Lee Y, Ogihara N, Lee T. Assessment of finite element models for prediction of osteoporotic fracture. J Mech Behav Biomed Mater. September 2019;97:312-320.