Towards real time radiotherapy simulation

Conference Paper (2019)
Research Group
Data-Intensive Systems
Copyright
© 2019 Nils Voss, Peter Ziegenhein, Lukas Vermond, J.J. Hoozemans, Oskar Mencer, Uwe Oelfke, Wayne Luk, G. Gaydadjiev
DOI related publication
https://doi.org/10.1109/ASAP.2019.000-6
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Nils Voss, Peter Ziegenhein, Lukas Vermond, J.J. Hoozemans, Oskar Mencer, Uwe Oelfke, Wayne Luk, G. Gaydadjiev
Research Group
Data-Intensive Systems
Volume number
2019-July
Pages (from-to)
173-180
ISBN (electronic)
9781728116013
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Abstract

We propose a novel reconfigurable hardware architecture to implement Monte Carlo based simulation of physical dose accumulation for intensity-modulated adaptive radiotherapy. The long term goal of our effort is to provide accurate online dose calculation in real-time during patient treatment. This will allow wider adoption of personalised patient therapies which has the potential to significantly reduce dose exposure to the patient as well as shorten treatment and greatly reduce costs. The proposed architecture exploits the inherent parallelism of Monte Carlo simulations to perform domain decomposition and provide high resolution simulation without being limited by on-chip memory capacity. We present our architecture in detail and provide a performance model to estimate execution time, hardware area and bandwidth utilisation. Finally, we evaluate our architecture on a Xilinx VU9P platform and show that three cards are sufficient to meet our real time target of 100 million randomly generated particle histories per second.

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