Towards Real Time Radiotherapy Simulation
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Embargo End Date
ICR Authors
Authors
Voss, N
Ziegenhein, P
Vermond, L
Hoozemans, J
Mencer, O
Oelfke, U
Luk, W
Gaydadjiev, G
Ziegenhein, P
Vermond, L
Hoozemans, J
Mencer, O
Oelfke, U
Luk, W
Gaydadjiev, G
Document Type
Journal Article
Date
2020-06-27
Date Accepted
Abstract
<jats:title>Abstract</jats:title><jats:p>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 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 as well as the Xilinx Alveo U250 and show that three VU9P based cards or two Alevo U250s are sufficient to meet our real time target of 100 million randomly generated particle histories per second.</jats:p>
Citation
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2020, 92 (9), pp. 949 - 963 (15)
Source Title
Publisher
SPRINGER
ISSN
1939-8018
eISSN
1939-8115
Collections
Research Team
Radiotherapy Physics Modelling