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2D range modulator for high-precision water calorimetry in scanned carbon-ion beams

Ionization chamber-based dosimetry for carbon-ion beams still shows a significantly higher standard uncertainty than high-energy photon dosimetry. This is mainly caused by the high standard uncertainty of the correction factor for beam quality . Due to a lack of experimental data, the given values f...

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Bibliographic Details
Main Authors: Holm, Kim Marina (Author) , Weber, Ulrich (Author) , Simeonov, Yuri (Author) , Krauss, Achim (Author) , Jäkel, Oliver (Author) , Greilich, Steffen (Author)
Format: Article (Journal)
Language:English
Published: 19 October 2020
In: Physics in medicine and biology
Year: 2020, Volume: 65, Issue: 21
ISSN:1361-6560
DOI:10.1088/1361-6560/aba6d5
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1088/1361-6560/aba6d5
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Author Notes:Kim Marina Holm, Ulrich Weber, Yuri Simeonov, Achim Krauss, Oliver Jäkel and Steffen Greilich
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Summary:Ionization chamber-based dosimetry for carbon-ion beams still shows a significantly higher standard uncertainty than high-energy photon dosimetry. This is mainly caused by the high standard uncertainty of the correction factor for beam quality . Due to a lack of experimental data, the given values for are based on theoretical calculations. To reduce this standard uncertainty, factors for different irradiation conditions and ionization chambers (ICs) can be determined experimentally by means of water calorimetry. To perform such measurements in a spread-out Bragg peak (SOBP) for a scanned carbon-ion beam, we describe the process of creating an almost cubic dose distribution of about 6 × 6 × 6 cm3 using a 2D range modulator. The aim is to achieve a field homogeneity with a standard deviation of measured dose values in the middle of the SOBP (over a lateral range and a depth of about 4 cm) below 2% within a scanning time of under 100 s, applying a dose larger than 1 Gy. This paper describes the optimization and characterization of the dose distribution in detail.
Item Description:Gesehen am 26.11.2020
Physical Description:Online Resource
ISSN:1361-6560
DOI:10.1088/1361-6560/aba6d5

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