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

Vee San Cheong; Gordon W. Blunn; Melanie J. Coathup; Paul Fromme

doi:10.1080/10255842.2018.1425997

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

Vee San Cheong, Gordon W. Blunn, Melanie J. Coathup, Paul Fromme

Institute of Life Sciences and Healthcare

University College London

Research output: Contribution to journal › Article › peer-review

156 Downloads (Pure)

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.

Original language	English
Pages (from-to)	129-138
Journal	Computer Methods in Biomechanics and Biomedical Engineering
Volume	21
Issue number	2
Early online date	16 Jan 2018
DOIs	https://doi.org/10.1080/10255842.2018.1425997
Publication status	Published - 1 Feb 2018

Access to Document

10.1080/10255842.2018.1425997

A Novel Adaptive Algorithm
This is an Accepted Manuscript of an article published by Taylor & Francis in Computer Methods in Biomechanics and Biomedical Engineering on 16/01/2018, available online: http://www.tandfonline.com/10.1080/10255842.2018.1425997.
Accepted author manuscript (Post-print), 1.57 MB

https://www.tandfonline.com/doi/abs/10.1080/10255842.2018.1425997

Data availability statement for 'A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth'.
Cheong, V. S. (Creator), Blunn, G. W. (Creator), Coathup, M. J. (Creator) & Fromme, P. (Creator), Taylor & Francis, 1 Feb 2018
Dataset

Cite this

@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",

}

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

SN - 1025-5842

VL - 21

SP - 129

EP - 138

JO - Computer Methods in Biomechanics and Biomedical Engineering

JF - Computer Methods in Biomechanics and Biomedical Engineering

IS - 2

ER -

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

Abstract

Access to Document

Fingerprint

Datasets

Data availability statement for 'A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth'.

Cite this