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Computational modelling of bone fracture healing

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This project uses computational models to better understand the mechanical regulation of bone fracture healing. The ultimate aim is to help optimise the clinical treatment of fractures, to improve the rate and reliability of healing.

Geographical area of data collection

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Brisbane, QLD, Australia

Publications

Understanding the relationship between interfragmentary movement and callus growth in fracture healing: A novel computational approach https://eprints.qut.edu.au/85012/
A novel approach to determine screw configurtions in internal fixation using an optimisiation algorithm https://eprints.qut.edu.au/27561/
Modelling the effects of bone fragment contact in fracture healing https://eprints.qut.edu.au/28198/
Computational investigations of mechanical failures of internal plate fixation https://eprints.qut.edu.au/42943/
Simulation of the nutrient supply in fracture healing https://eprints.qut.edu.au/27490/
Is callus formation optimised for fracture stability? A computational study https://eprints.qut.edu.au/4549/
Effects of strain artefacts arising from a pre-defined callus domain in models of bone healing mechanobiology https://eprints.qut.edu.au/81690/
Computational simulation of bone fracture healing under inverse dynamization https://eprints.qut.edu.au/95459/
The effect of distraction vector orientation on the regenerate tissue during bilateral mandibular distraction https://eprints.qut.edu.au/13193/
A new approach for assigning bone material properties from CT images into finite element models https://eprints.qut.edu.au/43060/

Research areas

Biomedical engineering
Other biological sciences
Biological Mathematics
Orthopaedic surgery
Clinical sciences
NUMERICAL AND COMPUTATIONAL MATHEMATICS

Funding

Funding scheme:
Australian Research Council Linkage
Funding scheme:
IHBI seeding grant
Funding scheme:
Australian Research Council Discovery
Grantor:
ARC Linkage (LP0776309)
Grantor:
Institute of Health and Biomedical Innovation (QUT) seeding grant, 2005 round
Grantor:
ARC Discovery Project Grant (DP0988124)

Connections

Has output
Has chief investigator
Devakar Epari  (Researcher)

Contacts

Name: Dr Devakar Epari

Other

Date record created:
2017-10-07T01:49:01
Date record modified:
2018-06-02T03:12:22
Record status:
Published - Open Access