Monte Carlo N Particle code - Dose distribution of clinical electron beams in inhomogeneous phantoms

被引:5
|
作者
Nedaie, H. A. [1 ]
Mosleh-Shirazi, M. A. [2 ]
Allahverdi, M. [3 ]
机构
[1] Univ Tehran Med Sci, Canc Inst, Canc Res Ctr, Dept Radiotherapy Phys, Tehran, Iran
[2] Shiraz Univ Med Sci, Namazi Hosp, Dept Radiotherapy, Radiotherapy Phys Unit, Shiraz, Iran
[3] Shahid Beheshti Univ, Dept Nucl Engn, Tehran, Iran
关键词
Dose distribution; dosimetry; electron therapy; heterogeneous phantom; Monte Carlo N Particle;
D O I
10.4103/0971-6203.106607
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
Electron dose distributions calculated using the currently available analytical methods can be associated with large uncertainties. The Monte Carlo method is the most accurate method for dose calculation in electron beams. Most of the clinical electron beam simulation studies have been performed using non- MCNP [Monte Carlo N Particle] codes. Given the differences between Monte Carlo codes, this work aims to evaluate the accuracy of MCNP4C-simulated electron dose distributions in a homogenous phantom and around inhomogeneities. Different types of phantoms ranging in complexity were used; namely, a homogeneous water phantom and phantoms made of polymethyl methacrylate slabs containing different-sized, low- and high-density inserts of heterogeneous materials. Electron beams with 8 and 15 MeV nominal energy generated by an Elekta Synergy linear accelerator were investigated. Measurements were performed for a 10 cm x 10 cm applicator at a source-to-surface distance of 100 cm. Individual parts of the beam-defining system were introduced into the simulation one at a time in order to show their effect on depth doses. In contrast to the first scattering foil, the secondary scattering foil, X and Y jaws and applicator provide up to 5% of the dose. A 2%/2 mm agreement between MCNP and measurements was found in the homogenous phantom, and in the presence of heterogeneities in the range of 1-3%, being generally within 2% of the measurements for both energies in a "complex" phantom. A full-component simulation is necessary in order to obtain a realistic model of the beam. The MCNP4C results agree well with the measured electron dose distributions.
引用
收藏
页码:15 / 21
页数:7
相关论文
共 50 条
  • [11] Monte Carlo simulation of radiation transport in inhomogeneous phantoms irradiated using stereotactic radiosurgery beams
    Cho, J
    Grein, E
    Robar, J
    Gete, E
    RADIOTHERAPY AND ONCOLOGY, 2003, 68 : S90 - S90
  • [12] Evaluation of an electron Monte Carlo dose calculation algorithm for electron beams
    Hu, Ye Angela
    Song, Haijun
    Chen, Zhe
    Zhou, Sumin
    Yin, Fang-Fang
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2008, 9 (03): : 1 - 15
  • [13] Voxel size effects on Monte Carlo dose calculation for clinical radiotherapy electron beams
    Husson, F
    Guillerminet, C
    RADIOTHERAPY AND ONCOLOGY, 2005, 76 : S153 - S153
  • [14] Evaluation Output Dose of Electron Beams Based On Monte Carlo
    Liu, D.
    Chi, Z.
    Gao, C.
    Han, C.
    MEDICAL PHYSICS, 2013, 40 (06)
  • [15] Monte Carlo Dose Calculation of Small Field Electron Beams
    Wu, Q.
    Rodrigues, A.
    Sawkey, D.
    Yin, F.
    MEDICAL PHYSICS, 2014, 41 (06) : 307 - 307
  • [16] Accurate and efficient Monte Carlo dose calculation for electron beams
    Sheu, R.
    Chui, C.
    LoSasso, T.
    Lim, S.
    Kirov, A.
    MEDICAL PHYSICS, 2006, 33 (06) : 2067 - 2067
  • [17] Validation of Monte Carlo dose planning calculations by epithermal beam: Dose distribution measurements in phantoms
    Carolan, MG
    Wallace, SA
    Allen, BJ
    Rosenfeld, AB
    Mathur, JN
    Meriaty, HA
    StecherRasmussen, F
    Moss, RL
    Raaijmakers, CPJ
    Konijnenberg, MW
    CANCER NEUTRON CAPTURE THERAPY, 1996, : 303 - 310
  • [18] Estimation of Dose Enhancement for Inhomogeneous Distribution of Nanoparticles: A Monte Carlo Study
    Abolaban, Fouad
    Taha, Eslam
    Alhawsawi, Abdulsalam
    Djouider, Fathi
    Banoqitah, Essam
    Nisbet, Andrew
    APPLIED SCIENCES-BASEL, 2021, 11 (11):
  • [19] Benchmarking of the Dose Planning Method (DPM) Monte Carlo code using electron beams from a racetrack microtron
    Chetty, IJ
    Moran, JM
    McShan, DL
    Fraass, BA
    Wilderman, SJ
    Bielajew, AF
    MEDICAL PHYSICS, 2002, 29 (06) : 1035 - 1041
  • [20] Monte Carlo simulation of particle beams
    Jansen, G.H.
    Advances in Imaging and Electron Physics, 2024, 230 : 393 - 436