Winterhalter, Carla; Aitkenhead, Adam; Oxley, David; Richardson, Jenny; Weber, Damien C.; MacKay, Ranald I; Lomax, Antony J; Safai, Sairos (2020). Pitfalls in the beam modelling process of Monte Carlo calculations for proton pencil beam scanning. The British journal of radiology, 93(1107), p. 20190919. British Institute of Radiology 10.1259/bjr.20190919
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OBJECTIVE
Monte Carlo (MC) simulations substantially improve the accuracy of predicted doses. This study aims to determine and quantify the uncertainties of setting up such a MC system.
METHODS
Doses simulated with two Geant4-based MC calculation codes, but independently tuned to the same beam data, have been compared. Different methods of MC modelling of a pre-absorber have been employed, either modifying the beam source parameters (descriptive) or adding the pre-absorber as a physical component (physical).
RESULTS
After the independent beam modelling of both systems in water (resulting in excellent range agreement) range differences of up to 3.6/4.8 mm (1.5% of total range) in bone/brain-like tissues were found, which resulted from the use of different mean water ionisation potentials during the energy tuning process. When repeating using a common definition of water, ranges in bone/brain agreed within 0.1 mm and gamma-analysis (global 1%,1mm) showed excellent agreement (>93%) for all patient fields. However, due to a lack of modelling of proton fluence loss in the descriptive pre-absorber, differences of 7% in absolute dose between the pre-absorber definitions were found.
CONCLUSION
This study quantifies the influence of using different water ionisation potentials during the MC beam modelling process. Furthermore, when using a descriptive pre-absorber model, additional Faraday cup or ionisation chamber measurements with pre-absorber are necessary.
ADVANCES IN KNOWLEDGE
This is the first study quantifying the uncertainties caused by the MC beam modelling process for proton pencil beam scanning, and a more detailed beam modelling process for MC simulations is proposed to minimise the influence of critical parameters.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology |
UniBE Contributor: |
Weber, Damien Charles |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1748-880X |
Publisher: |
British Institute of Radiology |
Language: |
English |
Submitter: |
Beatrice Scheidegger |
Date Deposited: |
18 Feb 2020 14:48 |
Last Modified: |
05 Dec 2022 15:36 |
Publisher DOI: |
10.1259/bjr.20190919 |
PubMed ID: |
32003576 |
BORIS DOI: |
10.7892/boris.140280 |
URI: |
https://boris.unibe.ch/id/eprint/140280 |