Literature DB >> 19942221

A new approach for assigning bone material properties from CT images into finite element models.

G Chen1, B Schmutz, D Epari, K Rathnayaka, S Ibrahim, M A Schuetz, M J Pearcy.   

Abstract

Generation of subject-specific finite element (FE) models from computed tomography (CT) datasets is of significance for application of the FE analysis to bone structures. A great challenge that remains is the automatic assignment of bone material properties from CT Hounsfield Units into finite element models. This paper proposes a new assignment approach, in which material properties are directly assigned to each integration point. Instead of modifying the dataset of FE models, the proposed approach divides the assignment procedure into two steps: generating the data file of the image intensity of a bone in a MATLAB program and reading the file into ABAQUS via user subroutines. Its accuracy has been validated by assigning the density of a bone phantom into a FE model. The proposed approach has been applied to the FE model of a sheep tibia and its applicability tested on a variety of element types. The proposed assignment approach is simple and illustrative. It can be easily modified to fit users' situations. Copyright (c) 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19942221     DOI: 10.1016/j.jbiomech.2009.10.040

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  13 in total

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5.  Computational modelling of forces acting on the femur in acetabular fractures: A finite element analysis study.

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6.  Impact of Tibial Component Coronal Alignment on Knee Joint Biomechanics Following Fixed-bearing Unicompartmental Knee Arthroplasty: A Finite Element Analysis.

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7.  Localized tissue mineralization regulated by bone remodelling: A computational approach.

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8.  Relationship between microstructure, material distribution, and mechanical properties of sheep tibia during fracture healing process.

Authors:  Jiazi Gao; He Gong; Xing Huang; Juan Fang; Dong Zhu; Yubo Fan
Journal:  Int J Med Sci       Date:  2013-09-07       Impact factor: 3.738

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Review 10.  Application of Simulation Methods in Cervical Spine Dynamics.

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