Document Detail


Modelling external bone adaptation using evolutionary structural optimisation.
MedLine Citation:
PMID:  16933126     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
External remodelling is significant in the bone healing process, and it is essential to predict the bone external shape in the design of artificial bone grafts. This paper demonstrates the effectiveness of the evolutionary structural optimisation (ESO) method for the simulation of bone morphology. A two-dimensional ESO strategy is developed which is capable of finding the modified bone topology beginning with any geometry under any loading conditions. The morphology of bone structure is described by the quantitative bone adaptation theory, which is integrated with the finite element method. The evolutionary topology optimisation process is introduced to find the bone shape. A rectangle, which occupies a larger space than the external shape of the bone structure, is specified as a design domain; the evolutionary process iteratively eliminates and redistributes material throughout the domain to obtain an optimum arrangement of bone materials. The technique has been tested on a wide range of examples. In this paper, the formation of trabecular bone architecture around an implant is studied; as another example, the growth of the coronal section of a vertebral body is predicted. The examples support the assertion that the external shape of bone structure can be successfully predicted by the proposed ESO procedure.
Authors:
G Chen; G J Pettet; M Pearcy; D L S McElwain
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2006-08-25
Journal Detail:
Title:  Biomechanics and modeling in mechanobiology     Volume:  6     ISSN:  1617-7959     ISO Abbreviation:  Biomech Model Mechanobiol     Publication Date:  2007 Jul 
Date Detail:
Created Date:  2007-06-27     Completed Date:  2008-04-04     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101135325     Medline TA:  Biomech Model Mechanobiol     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  275-85     Citation Subset:  IM; S    
Affiliation:
Applied Mathematics and Advanced Computation Program, School of Mathematical Sciences, Queensland University of Technology, GPOBox 2434, Brisbane, QLD 4001, Australia. g3.chen@qut.edu.au
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MeSH Terms
Descriptor/Qualifier:
Adaptation, Physiological*
Animals
Bone Remodeling*
Evolution*
Finite Element Analysis
Models, Biological*
Prostheses and Implants
Stress, Mechanical

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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