Radiotherapy Monte Carlo simulation using cloud computing technology

Poole, Christopher, Cornelius, Iwan, Trapp, Jamie, & Langton, Christian M. (2012) Radiotherapy Monte Carlo simulation using cloud computing technology. Australasian Physical and Engineering Sciences in Medicine, 35(4), pp. 497-502.

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Cloud computing allows for vast computational resources to be leveraged quickly and easily in bursts as and when required. Here we describe a technique that allows for Monte Carlo radiotherapy dose calculations to be performed using GEANT4 and executed in the cloud, with relative simulation cost and completion time evaluated as a function of machine count. As expected, simulation completion time decreases as 1=n for n parallel machines, and relative simulation cost is found to be optimal where n is a factor of the total simulation time in hours. Using the technique, we demonstrate the potential usefulness of cloud computing as a solution for rapid Monte Carlo simulation for radiotherapy dose calculation without the need for dedicated local computer hardware as a proof of principal.

Funding source Cancer Australia (Department of Health and Ageing) Research Grant 614217

Impact and interest:

5 citations in Scopus
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4 citations in Web of Science®

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ID Code: 54848
Item Type: Journal Article
Refereed: Yes
Additional Information: Additional information can be found at If using this in a publication please cite this paper.
Additional URLs:
Keywords: cloud computing, Monte Carlo, GEANT4, radiotherapy
DOI: 10.1007/s13246-012-0167-8
ISSN: 1879-5447
Subjects: Australian and New Zealand Standard Research Classification > PHYSICAL SCIENCES (020000) > OTHER PHYSICAL SCIENCES (029900) > Medical Physics (029903)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Australasian College of Physical Scientists and Engineers in Medicine
Copyright Statement: The final publication is available at
Deposited On: 19 Nov 2012 00:05
Last Modified: 30 Mar 2014 02:35

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