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

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 , 21 (2) pp. 129-138. 10.1080/10255842.2018.1425997. Green open access

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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.

Type: Article
Title: A novel adaptive algorithm for 3D finite element analysis to model extracortical bone growth
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/10255842.2018.1425997
Publisher version: https://doi.org/10.1080/10255842.2018.1425997
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: External bone remodelling, osseointegration, segmental prosthesis
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10041881
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