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.
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:
Citation countsare sourced monthly fromand citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|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 Australasian College of Physical Scientists and Engineers in Medicine|
|Copyright Statement:||The final publication is available at www.springerlink.com|
|Deposited On:||19 Nov 2012 10:05|
|Last Modified:||30 Mar 2014 12:35|
Repository Staff Only: item control page