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. (In Press)
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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.
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|Item Type:||Journal Article|
|Additional Information:||Additional information can be found at http://code.google.com/p/manysim/ If using this in a publication please cite this paper.|
|Keywords:||cloud computing, Monte Carlo, GEANT4, radiotherapy|
|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 Springer|
|Copyright Statement:||The final publication is available at www.springerlink.com|
|Deposited On:||19 Nov 2012 10:05|
|Last Modified:||11 Feb 2013 02:24|
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