Towards real time radiotherapy simulation

Nils Voss, Peter Ziegenhein, Lukas Vermond, Joost Hoozemans, Oskar Mencer, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
47 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 30th International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages173-180
Number of pages8
Volume2019-July
ISBN (Electronic)9781728116013
DOIs
Publication statusPublished - 1 Jul 2019
Event30th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2019 - New York, United States
Duration: 15 Jul 201917 Jul 2019

Conference

Conference30th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2019
CountryUnited States
CityNew York
Period15/07/1917/07/19

Keywords

  • Dataflow
  • Dose Calculation
  • FPGA Acceleration
  • Monte Carlo Simulation
  • Radiotherapy

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  • Cite this

    Voss, N., Ziegenhein, P., Vermond, L., Hoozemans, J., Mencer, O., Oelfke, U., Luk, W., & Gaydadjiev, G. (2019). Towards real time radiotherapy simulation. In Proceedings - 2019 IEEE 30th International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2019 (Vol. 2019-July, pp. 173-180). [8825146] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ASAP.2019.000-6