Monte Carlo calculated correction factors for the NPL proton calorimeter

被引:1
作者
Petrie, L. M. [1 ,2 ]
Galer, S. [1 ]
Shipley, D. [1 ]
Palmans, H. [1 ,3 ]
机构
[1] Natl Phys Lab, Radiat Dosimetry Grp, Teddington, Middx, England
[2] Univ Surrey, Dept Phys, Guildford, Surrey, England
[3] EBG MedAustron GmbH, Dept Med Phys, Wiener Neustadt, Austria
基金
英国工程与自然科学研究理事会;
关键词
Monte Carlo; TOPAS; Dosimetry; Correction factors; Calorimeter; Primary standards; STANDARDS; DOSIMETRY; BEAMS;
D O I
10.1016/j.radphyschem.2016.12.014
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Introduction: The National Physical Laboratory (NPL) proton graphite calorimeter is a primary standard level instrument, capable of determining absorbed dose for proton beam radiotherapy dosimetry in the UK. In order to obtain the absorbed dose from the calorimeter measurement data, various correction factors need to be applied, including the gap correction factor (k(gap)) and the volume averaging correction factor (k(vol)) which were calculated in this work. k(gap) quantifies the effect of the vacuum gaps within the calorimeter on the dose to the core, while k(vol) accounts for the difference between the measurements of dose to the whole core and what is actually required: dose at a point in the centre of the core. Methods: A simplified model of the calorimeter was created in TOPAS (a Monte Carlo particle transport simulation software based on the GEANT4 toolkit) and simulations were run at five different monoenergetic beam energies (60, 100, 150, 190 & 230 MeV). For the k(gap) correction factor, the simplified calorimeter model was compared to a compensated model of the calorimeter where the graphite components were shifted towards the beam until they touch and then the vacuum gaps were replaced with graphite. For the k(vol) correction factor the dose in the core of the calorimeter was compared to the dose in a small volume (0.25 mm radius) in the centre of the core. Results: The gap correction factor, k(gap), had a non-linear dependence on energy, ranging from 0.06% above unity at 60 MeV to 0.36% above unity at 230 MeV. The volume averaging correction factor was found to be negligible, with an uncertainty of 0.065%. Conclusions: The gap correction factor and volume averaging correction factor, along with their associated uncertainties have been calculated. These correction factors are essential in establishing the calorimeter as a primary standard.
引用
收藏
页码:383 / 385
页数:3
相关论文
共 50 条
  • [31] Fluence correction factors for graphite calorimetry in a low-energy clinical proton beam: I. Analytical and Monte Carlo simulations
    Palmans, H.
    Al-Sulaiti, L.
    Andreo, P.
    Shipley, D.
    Luehr, A.
    Bassler, N.
    Martinkovic, J.
    Dobrovodsky, J.
    Rossomme, S.
    Thomas, R. A. S.
    Kacperek, A.
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (10) : 3481 - 3499
  • [32] Monte Carlo calculated and experimentally determined output correction factors for small field detectors in Leksell Gamma Knife Perfexion beams
    Benmakhlouf, H.
    Johansson, J.
    Paddick, I.
    Andreo, P.
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2015, 60 (10) : 3959 - 3973
  • [33] Sensitive volume effects on Monte Carlo calculated ion chamber response in magnetic fields
    Malkov, Victor N.
    Rogers, D. W. O.
    [J]. MEDICAL PHYSICS, 2017, 44 (09) : 4854 - 4858
  • [34] Monte Carlo verification of output correction factors for a TrueBeam STx®
    Hernandez-Becerril, Mario A.
    Larraga-Gutierrez, Jose M.
    Saldivar, Belem
    Hernandez-Servin, J. A.
    [J]. APPLIED RADIATION AND ISOTOPES, 2021, 173
  • [35] Single pencil beam benchmark of a module for Monte Carlo simulation of proton transport in the PENELOPE code
    Verbeek, Nico
    Wulff, Joerg
    Baeumer, Christian
    Smyczek, Sabrina
    Timmermann, Beate
    Brualla, Lorenzo
    [J]. MEDICAL PHYSICS, 2021, 48 (01) : 456 - 476
  • [36] Monte Carlo verification of the holder correction factors for the radiophotoluminescent glass dosimeter used by the IAEA in international dosimetry audits
    Sempau, J.
    Kazantsev, P.
    Izewska, J.
    Brualla, L.
    [J]. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2021, 86 : 1 - 5
  • [37] Detailed Monte-Carlo characterization of a Faraday cup for proton therapy
    Ehwald, Julian
    Togno, Michele
    Lomax, Antony John
    Weber, Damien Charles
    Safai, Sairos
    Winterhalter, Carla
    [J]. MEDICAL PHYSICS, 2023, 50 (09) : 5828 - 5841
  • [38] Monte Carlo calculation of beam quality correction factors in proton beams using TOPAS/GEANT4 (vol 65, 055015, 2020)
    Baumann, Kilian-Simon
    Kaupa, Sina
    Bach, Constantin
    Engenhart-Cabillic, Rita
    Zink, Klemens
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2020, 65 (11)
  • [39] Uncertainties and correction methods when modeling passive scattering proton therapy treatment heads with Monte Carlo
    Bednarz, Bryan
    Lu, Hsiao-Ming
    Engelsman, Martijn
    Paganetti, Harald
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2011, 56 (09) : 2837 - 2854
  • [40] Producing a Beam Model of the Varian ProBeam Proton Therapy System using TOPAS Monte Carlo Toolkit
    Rahman, Mahbubur
    Bruza, Petr
    Lin, Yuting
    Gladstone, David J.
    Pogue, Brian W.
    Zhang, Rongxiao
    [J]. MEDICAL PHYSICS, 2020, 47 (12) : 6500 - 6508