Monte Carlo based verification of a beam model used in a treatment planning system

被引:2
|
作者
Wieslander, E. [1 ]
Knoos, T. [1 ]
机构
[1] Univ Lund Hosp, S-22185 Lund, Sweden
关键词
D O I
10.1088/1742-6596/102/1/012027
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Modern treatment planning systems (TPSs) usually separate the dose modelling into a beam modelling phase, describing the beam exiting the accelerator, followed by a subsequent dose calculation in the patient. The aim of this work is to use the Monte Carlo code system EGSnrc to study the modelling of head scatter as well as the transmission through multi-leaf collimator (MLC) and diaphragms in the beam model used in a commercial TPS (MasterPlan, Nucletron B. V.). An Elekta Precise linear accelerator equipped with an MLC has been modelled in BEAMnrc, based on available information from the vendor regarding the material and geometry of the treatment head. The collimation in the MLC direction consists of leafs which are complemented with a backup diaphragm. The characteristics of the electron beam, i. e., energy and spot size, impinging on the target have been tuned to match measured data. Phase spaces from simulations of the treatment head are used to extract the scatter from, e. g., the flattening filter and the collimating structures. Similar data for the source models used in the TPS are extracted from the treatment planning system, thus a comprehensive analysis is possible. Simulations in a water phantom, with DOSXYZnrc, are also used to study the modelling of the MLC and the diaphragms by the TPS. The results from this study will be helpful to understand the limitations of the model in the TPS and provide knowledge for further improvements of the TPS source modelling.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Introduction of scoregrids into a Monte-Carlo based treatment planning system
    Reynaert, N
    De Smedt, B
    Thierens, H
    Coghe, M
    De Wagter, C
    De Neve, W
    RADIOTHERAPY AND ONCOLOGY, 2003, 68 : S91 - S91
  • [42] A virtual-acceterator-based verification of a Monte Carlo dose calculation algorithm for electron beam treatment planning in clinical situations
    Wieslander, Elinore
    Knoos, Tommy
    RADIOTHERAPY AND ONCOLOGY, 2007, 82 (02) : 208 - 217
  • [43] Beam Model Interface for Treatment Planning in Proton Therapy Using Macro Monte Carlo
    Fix, M. K.
    Frei, D.
    Volken, W.
    Born, E. J.
    Aebersold, D. M.
    Manser, P.
    MEDICAL PHYSICS, 2013, 40 (06)
  • [44] Dosimetric verification of a Monte Carlo treatment planning system for MR-guided proton therapy
    Fuchs, H.
    Padilla-Cabal, F.
    Oborn, B.
    Traneus, E.
    Georg, D.
    RADIOTHERAPY AND ONCOLOGY, 2023, 182 : S1544 - S1545
  • [45] Monte Carlo verification of IMRT dose distributions from a commercial treatment planning optimization system
    Ma, CM
    Pawlicki, T
    Jiang, SB
    Li, JS
    Deng, J
    Mok, E
    Kapur, A
    Xing, L
    Ma, L
    Boyer, AL
    PHYSICS IN MEDICINE AND BIOLOGY, 2000, 45 (09): : 2483 - 2495
  • [46] A radiosurgery Monte Carlo based treatment planning
    Chave, A
    Lopes, MC
    Oliveira, C
    Peralta, L
    RADIOTHERAPY AND ONCOLOGY, 2004, 73 : S374 - S374
  • [47] An automated beam commissioning procedure for Monte Carlo treatment planning
    Qin, L
    Li, J
    Jiang, S
    Deng, J
    Ma, C
    MEDICAL PHYSICS, 2002, 29 (06) : 1232 - 1232
  • [48] Monte Carlo computer simulation of a camera system for proton beam range verification in cancer treatment
    Sun, Xiao-Li
    Wang, Hui
    Li, Xin-Ke
    Cao, Guo-Hong
    Kuang, Yu
    Zhang, Xiao-Chen
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 102 (102): : 978 - 991
  • [49] Source modelling and beam commissioning for Monte Carlo treatment planning
    Ma, C
    Faddegon, B
    Curran, B
    MEDICAL PHYSICS, 2005, 32 (06) : 2119 - 2119
  • [50] Fast Monte Carlo algorithms for electron beam treatment planning
    Neuenschwander, H
    Volken, W
    Cris, C
    Mini, R
    Schwab, P
    PROCEEDINGS OF THE XIITH INTERNATIONAL CONFERENCE ON THE USE OF COMPUTERS IN RADIATION THERAPY, 1997, : 23 - 26