Literature DB >> 20304390

A new method to evaluate the elastic modulus of cortical bone by using a combined computed tomography and finite element approach.

Heng-Li Huang1, Ming-Tzu Tsai, Dan-Jae Lin, Chi-Sheng Chien, Jui-Ting Hsu.   

Abstract

This study attempted to estimate the elastic modulus of cortical specimens directly from the computed tomography (CT) number (CT). Cubic specimens of fresh bovine femora were tested under compressive loading. The corresponding three-dimensional mesh models of these specimens were established with the aid of CT images. The elastic modulus of each element was determined using the following transfer formula: E=Ax(CT)(B). The A and B were determined by matching the simulation results with the experimental force-displacement curves. An optimization approach was used to match the entire specimen sets between simulations and experiments. The results indicated that the elastic modulus of cortical bone can be effectively estimated using a power relationship (E=1.26 x 10(-3) x (CT)(1.93)) directly from the CT number. This procedure eliminates the need to determine the bone density, and therefore reduces the computational time required to define mechanical properties in finite element methods. 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20304390     DOI: 10.1016/j.compbiomed.2010.02.011

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  6 in total

1.  Biomechanical analysis of acromioclavicular joint dislocation treated with clavicle hook plates in different lengths.

Authors:  Cheng-Min Shih; Kui-Chou Huang; Chien-Chou Pan; Cheng-Hung Lee; Kuo-Chih Su
Journal:  Int Orthop       Date:  2015-07-17       Impact factor: 3.075

2.  Transversely isotropic and isotropic material considerations in determining the mechanical response of geometrically accurate bovine tibia bone.

Authors:  Reem A Yassine; Ramsey F Hamade
Journal:  Med Biol Eng Comput       Date:  2019-08-03       Impact factor: 2.602

3.  Optimizing Accuracy of Proximal Femur Elastic Modulus Equations.

Authors:  Asghar Rezaei; Kent D Carlson; Hugo Giambini; Samad Javid; Dan Dragomir-Daescu
Journal:  Ann Biomed Eng       Date:  2019-03-12       Impact factor: 3.934

Review 4.  Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis-A Survey.

Authors:  Amadeus C S de Alcântara; Israel Assis; Daniel Prada; Konrad Mehle; Stefan Schwan; Lucia Costa-Paiva; Munir S Skaf; Luiz C Wrobel; Paulo Sollero
Journal:  Materials (Basel)       Date:  2019-12-24       Impact factor: 3.623

5.  Predicting cortical bone strength from DXA and dental cone-beam CT.

Authors:  Jui-Ting Hsu; Ying-Ju Chen; Ming-Tzu Tsai; Howard Haw-Chang Lan; Fu-Chou Cheng; Michael Y C Chen; Shun-Ping Wang
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

Review 6.  Patient-specific finite element models of the human mandible: Lack of consensus on current set-ups.

Authors:  Bram Barteld Jan Merema; Joep Kraeima; Haye H Glas; Fred K L Spijkervet; Max J H Witjes
Journal:  Oral Dis       Date:  2020-07-09       Impact factor: 3.511

  6 in total

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