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A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth

Research output: Contribution to journalArticle

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A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth. / Cheong, Vee San; Blunn, Gordon W.; Coathup, Melanie J.; Fromme, Paul.

In: Computer Methods in Biomechanics and Biomedical Engineering, Vol. 21, No. 2, 01.02.2018, p. 129-138.

Research output: Contribution to journalArticle

Harvard

Cheong, VS, Blunn, GW, Coathup, MJ & Fromme, P 2018, 'A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth', Computer Methods in Biomechanics and Biomedical Engineering, vol. 21, no. 2, pp. 129-138. https://doi.org/10.1080/10255842.2018.1425997

APA

Cheong, V. S., Blunn, G. W., Coathup, M. J., & Fromme, P. (2018). A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth. Computer Methods in Biomechanics and Biomedical Engineering, 21(2), 129-138. https://doi.org/10.1080/10255842.2018.1425997

Vancouver

Cheong VS, Blunn GW, Coathup MJ, Fromme P. A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth. Computer Methods in Biomechanics and Biomedical Engineering. 2018 Feb 1;21(2):129-138. https://doi.org/10.1080/10255842.2018.1425997

Author

Cheong, Vee San ; Blunn, Gordon W. ; Coathup, Melanie J. ; Fromme, Paul. / A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth. In: Computer Methods in Biomechanics and Biomedical Engineering. 2018 ; Vol. 21, No. 2. pp. 129-138.

Bibtex

@article{0a9c7c09d1d240b290ccb46a9e4618ae,
title = "A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth",
abstract = "Extracortical bone growth with osseointegration of bone onto the shaft of massive bone tumour implants is an important clinical outcome for long-term implant survival. A new computational algorithm combining geometrical shape changes and bone adaptation in 3D Finite Element simulations has been developed, using a soft tissue envelope mesh, a novel concept of osteoconnectivity, and bone remodelling theory. The effects of varying the initial tissue density, spatial influence function and time step were investigated. The methodology demonstrated good correspondence to radiological results for a segmental prosthesis.",
author = "Cheong, {Vee San} and Blunn, {Gordon W.} and Coathup, {Melanie J.} and Paul Fromme",
year = "2018",
month = feb
day = "1",
doi = "10.1080/10255842.2018.1425997",
language = "English",
volume = "21",
pages = "129--138",
journal = "Computer Methods in Biomechanics and Biomedical Engineering",
issn = "1025-5842",
publisher = "Informa Healthcare",
number = "2",

}

RIS

TY - JOUR

T1 - A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth

AU - Cheong, Vee San

AU - Blunn, Gordon W.

AU - Coathup, Melanie J.

AU - Fromme, Paul

PY - 2018/2/1

Y1 - 2018/2/1

N2 - Extracortical bone growth with osseointegration of bone onto the shaft of massive bone tumour implants is an important clinical outcome for long-term implant survival. A new computational algorithm combining geometrical shape changes and bone adaptation in 3D Finite Element simulations has been developed, using a soft tissue envelope mesh, a novel concept of osteoconnectivity, and bone remodelling theory. The effects of varying the initial tissue density, spatial influence function and time step were investigated. The methodology demonstrated good correspondence to radiological results for a segmental prosthesis.

AB - Extracortical bone growth with osseointegration of bone onto the shaft of massive bone tumour implants is an important clinical outcome for long-term implant survival. A new computational algorithm combining geometrical shape changes and bone adaptation in 3D Finite Element simulations has been developed, using a soft tissue envelope mesh, a novel concept of osteoconnectivity, and bone remodelling theory. The effects of varying the initial tissue density, spatial influence function and time step were investigated. The methodology demonstrated good correspondence to radiological results for a segmental prosthesis.

UR - http://discovery.ucl.ac.uk/10041881/

U2 - 10.1080/10255842.2018.1425997

DO - 10.1080/10255842.2018.1425997

M3 - Article

C2 - 29334767

VL - 21

SP - 129

EP - 138

JO - Computer Methods in Biomechanics and Biomedical Engineering

JF - Computer Methods in Biomechanics and Biomedical Engineering

SN - 1025-5842

IS - 2

ER -

ID: 8576411