On the measurement uncertainty of microdosimetric quantities using diamond and silicon microdosimeters in carbon-ion beams.


Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
Oct 2022
Historique:
revised: 13 03 2022
received: 15 12 2021
accepted: 03 08 2022
pubmed: 31 8 2022
medline: 19 10 2022
entrez: 30 8 2022
Statut: ppublish

Résumé

The purpose of this paper is to compare the response of two different types of solid-state microdosimeters, that is, silicon and diamond, and their uncertainties. A study of the conversion of silicon microdosimetric spectra to the diamond equivalent for microdosimeters with different geometry of the sensitive volumes is performed, including the use of different stopping power databases. Diamond and silicon microdosimeters were irradiated under the same conditions, aligned at the same depth in a carbon-ion beam at the MedAustron ion therapy center. In order to estimate the microdosimetric quantities, the readout electronic linearity was investigated with three different methods, that is, the first being a single linear regression, the second consisting of a double linear regression with a channel transition and last a multiple linear regression by splitting the data into odd and even groups. The uncertainty related to each of these methods was estimated as well. The edge calibration was performed using the intercept with the horizontal axis of the tangent through the inflection point of the Fermi function approximation multi-channel analyzer spectrum. It was assumed that this point corresponds to the maximum energy difference of particle traversing the sensitive volume (SV) for which the residual range difference in the continuous slowing down approximation is equal to the thickness of the SV of the microdosimeter. Four material conversion methods were explored, the edge method, the density method, the maximum-deposition energy method and the bin-by-bin transformation method. The uncertainties of the microdosimetric quantities resulting from the linearization, the edge calibration and the detectors thickness were also estimated. It was found that the double linear regression had the lowest uncertainty for both microdosimeters. The propagated standard (k = 1) uncertainties on the frequency-mean lineal energy This article demonstrate that the linearity of the readout electronics affects the microdosimetric spectra with a difference in

Identifiants

pubmed: 36039392
doi: 10.1002/mp.15929
pmc: PMC9826416
doi:

Substances chimiques

Ions 0
Carbon 7440-44-0
Diamond 7782-40-3
Silicon Z4152N8IUI

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6699-6715

Subventions

Organisme : Austrian Science Foundation (FWF)
ID : P32103-B

Informations de copyright

© 2022 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.

Références

Radiat Prot Dosimetry. 2004;108(4):345-52
pubmed: 15103064
Acta Oncol. 2011 Aug;50(6):757-62
pubmed: 21767171
Med Phys. 2022 Oct;49(10):6699-6715
pubmed: 36039392
Phys Med Biol. 2018 Oct 29;63(21):215021
pubmed: 30372421
Radiat Prot Dosimetry. 2015 Sep;166(1-4):238-41
pubmed: 25877542
Med Phys. 2020 Feb;47(2):713-721
pubmed: 31730226
Phys Med. 2018 Aug;52:113-121
pubmed: 30139599
Nucl Instrum Methods Phys Res B. 2001 Sep;184(1-2):135-57
pubmed: 11863030
Radiat Res. 2006 Oct;166(4):629-38
pubmed: 17007551
Phys Med Biol. 1972 Mar;17(2):232-40
pubmed: 5072548
Phys Med Biol. 2017 Mar 21;62(6):2055-2069
pubmed: 28151733
Med Phys. 2017 Nov;44(11):6085-6095
pubmed: 28887837
Br J Radiol. 2015 Jan;88(1045):20140392
pubmed: 25257709
Radiat Prot Dosimetry. 2015 Sep;166(1-4):242-6
pubmed: 25944956
Phys Med Biol. 2020 Jan 24;65(3):035004
pubmed: 31842007

Auteurs

Cynthia Meouchi (C)

Radiation Physics, Technische Universität Wien, Vienna, Austria.

Sandra Barna (S)

Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria.

Monika Puchalska (M)

Radiation Physics, Technische Universität Wien, Vienna, Austria.

Linh T Tran (LT)

Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.

Anatoly Rosenfeld (A)

Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.

Claudio Verona (C)

Dipartimento di Ingegneria Industriale, Università di Roma Tor Vergata, Roma, Italy.

Gianluca Verona-Rinati (G)

Dipartimento di Ingegneria Industriale, Università di Roma Tor Vergata, Roma, Italy.

Hugo Palmans (H)

MedAustron Ion Therapy Center, Wiener Neustadt, Austria.
National Physical Laboratory, Teddington, Twickenham, UK.

Giulio Magrin (G)

MedAustron Ion Therapy Center, Wiener Neustadt, Austria.

Articles similaires

India Carbon Sequestration Environmental Monitoring Carbon Biomass
1.00
Humans Personality Judgment Choice Behavior Male
Charcoal Soil Microbiology Soil Biomass Carbon

Classifications MeSH