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Radiotherapy Monte Carlo simulation using cloud computing technology

By Christopher Poole, Iwan Cornelius, Jamie Trapp and Christian M. Langton

Abstract

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 61421

Topics: 029903 Medical Physics, cloud computing, Monte Carlo, GEANT4, radiotherapy
Publisher: Springer
Year: 2012
DOI identifier: 10.1007/s13246-012-0167-8
OAI identifier: oai:eprints.qut.edu.au:54848

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