Accurate Monte Carlo simulations for nozzle design, commissioning and quality assurance for a proton radiation therapy facility

被引:189
|
作者
Paganetti, H [1 ]
Jiang, H
Lee, SY
Kooy, HM
机构
[1] Massachusetts Gen Hosp, NE Proton Therapy Ctr, Boston, MA 02114 USA
[2] Harvard Univ, Sch Med, Boston, MA 02114 USA
关键词
proton therapy; Monte Carlo; Bragg peak; quality assurance;
D O I
10.1118/1.1762792
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Monte Carlo dosimetry calculations are essential methods in radiation therapy. To take full advantage of this tool, the beam delivery system has to be simulated in detail and the initial beam parameters have to be known accurately. The modeling of the beam delivery system itself opens various areas where Monte Carlo calculations prove extremely helpful, such as for design and commissioning of a therapy facility as well as for quality assurance verification. The gantry treatment nozzles at the Northeast Proton Therapy Center (NPTC) at Massachusetts General Hospital (MGH) were modeled in detail using the GEANT4.5.2 Monte Carlo code. For this purpose, various novel solutions for simulating irregular shaped objects in the beam path, like contoured scatterers, patient apertures or patient compensators, were found. The four-dimensional, in time and space, simulation of moving parts, such as the modulator wheel, was implemented. Further, the appropriate physics models and cross sections for proton therapy applications were defined. We present comparisons between measured data and simulations. These show that by modeling the treatment nozzle with millimeter accuracy, it is possible to reproduce measured dose distributions with an accuracy in range and modulation width, in the case of a spread-out Bragg peak (SOBP), of better than 1 mm. The excellent agreement demonstrates that the simulations can even be used to generate beam data for commissioning treatment planning systems. The Monte Carlo nozzle model was used to study mechanical optimization in terms of scattered radiation and secondary radiation in the design of the nozzles. We present simulations on the neutron background. Further, the Monte Carlo calculations supported commissioning efforts in understanding the sensitivity of beam characteristics and how these influence the dose delivered. We present the sensitivity of dose distributions in water with respect to various beam parameters and geometrical misalignments. This allows the definition of tolerances for quality assurance and the design of quality assurance procedures. (C) 2004 American Association of Physicists in Medicine.
引用
收藏
页码:2107 / 2118
页数:12
相关论文
共 50 条
  • [1] The radiation fields around a proton therapy facility: A comparison of Monte Carlo simulations
    Ottaviano, G.
    Picardi, L.
    Pillon, M.
    Ronsivalle, C.
    Sandri, S.
    [J]. RADIATION PHYSICS AND CHEMISTRY, 2014, 95 : 236 - 239
  • [2] Platform for automatic patient quality assurance via Monte Carlo simulations in proton therapy
    Marmitt, G. Guterres
    Pin, A.
    Siang, K. Ng Wei
    Janssens, G.
    Souris, K.
    Cohilis, M.
    Langendijk, J. A.
    Both, S.
    Knopf, A.
    Meijers, A.
    [J]. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2020, 70 : 49 - 57
  • [3] Commissioning of a Fast Monte Carlo Code as a Quality Assurance Tool in Krakow Proton Beam Therapy Centre
    Rucinski, A.
    Gajewski, J.
    Olko, P.
    Patera, V.
    Rinaldi, I.
    Schiavi, A.
    [J]. MEDICAL PHYSICS, 2017, 44 (06)
  • [4] Monte Carlo Simulations of Neutron Ambient Dose Equivalent in a Novel Proton Therapy Facility Design
    Titt, Uwe
    Pera, Enzo
    Gillin, Michael T.
    [J]. INTERNATIONAL JOURNAL OF PARTICLE THERAPY, 2020, 6 (04) : 29 - 37
  • [5] The MedAustron proton gantry: nozzle design recommendations based on Monte Carlo simulations
    Fuchs, H.
    Grevillot, L.
    Elia, A.
    Carlino, A.
    Osorio, J.
    Letellier, V.
    Dreindl, R.
    Stock, M.
    Vatnitsky, S.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2017, 123 : S800 - S801
  • [6] Use of Monte Carlo software to aid design of a proton therapy nozzle
    Swanepoel, M. W.
    Jones, D. T. L.
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2007, 580 (01): : 145 - 148
  • [7] Monte Carlo Simulation Using TOPAS for Gas Chamber Design of PBS Nozzle in Superconducting Proton Therapy Facility
    Wang, Ming
    Zheng, Jinxing
    Song, Yuntao
    Zeng, Xianhu
    Li, Ming
    Zhang, Wuquan
    Wang, Pengyu
    Shen, Junsong
    [J]. NUCLEAR TECHNOLOGY, 2020, 206 (05) : 779 - 790
  • [8] Monte Carlo simulations of stray neutron radiation exposures in proton therapy
    Zheng, Yuanshui
    Newhauser, Wayne
    Fontenot, Jonas
    Koch, Nicholas
    Mohan, Radhe
    [J]. JOURNAL OF NUCLEAR MATERIALS, 2007, 361 (2-3) : 289 - 297
  • [9] Monte Carlo characterisation of the Dose Magnifying Glass for proton therapy quality assurance
    Merchant, A. H.
    Guatelli, S.
    Petesecca, M.
    Jackson, M.
    Rozenfeld, A. B.
    [J]. MICRO-MINI & NANO-DOSIMETRY & INNOVATIVE TECHNOLOGIES IN RADIATION THERAPY (MMND&ITRO2016), 2017, 777
  • [10] Monte Carlo simulations of a proton therapy beamline
    Soukup, M
    Weber, A
    Heufelder, J
    Fippel, M
    [J]. RADIOTHERAPY AND ONCOLOGY, 2005, 76 : S160 - S160