Simulation of a 6 MV Elekta Precise Linac photon beam using GATE/GEANT4

The GEANT4-based GATE Monte Carlo (MC) platform was initially focused on PET and SPECT simulations. The new release v6.0 (February 2010) proposes new tools dedicated for radiation therapy simulations. In this work, we investigated some part of this extension and proposed a general methodology for Linac simulations. Details of the modeling of a 6 MV photon beam delivered by an Elekta Precise Linac, with radiation fields ranging from 5 × 5 to 30 × 30 cm2 at the isocenter are presented. Comparisons were performed with measurements in water. The simulations were performed in two stages: first, the patient-independent part was simulated and a phase space (PhS) was built above the secondary collimator. Then, a multiple source model (MSM) derived from the PhS was proposed to simulate the photon fluence interacting with the patient-dependent part. The selective bremsstrahlung splitting (SBS) variance reduction technique proposed in GATE was used in order to speed up the accelerator head simulation. Further investigations showed that the SBS can be safely used without biasing the simulations. Additional comparisons with full simulations performed on the EGEE grid, in a single stage from the electron source to the water phantom, allowed the evaluation of the MSM. The proposed MSM allowed for calculating depth dose and transverse profiles in 48 hours on a single 2.8 GHz CPU, with a statistical uncertainty of 0.8% for a 10 × 10 cm2 radiation field, using voxels of 5 × 5 × 5 mm3. Good agreement between simulations and measurements in water was observed, with dose differences of about 1% and 2% for depth doses and dose profiles, respectively. Additional gamma index comparisons were performed; more than 90% of the points for all simulations passed the 3%/3 mm gamma criterion. To our knowledge, this feasibility study is the first one illustrating the potential of GATE for external radiotherapy applications.

[1]  S Stute,et al.  GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy , 2011, Physics in medicine and biology.

[2]  David Sarrut,et al.  Optimization of GEANT4 settings for Proton Pencil Beam Scanning simulations using GATE , 2010 .

[3]  David Sarrut,et al.  Influence of Geant4 parameters on dose distribution and computation time for carbon ion therapy simulation. , 2010, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[4]  Hugues Benoit-Cattin,et al.  Dynamic Partitioning of GATE Monte-Carlo Simulations on EGEE , 2010, Journal of Grid Computing.

[5]  T. Koi,et al.  Geometry and physics of the Geant4 toolkit for high and medium energy applications , 2009 .

[6]  David Sarrut,et al.  Monte-Carlo based prediction of radiochromic film response for hadrontherapy dosimetry , 2009 .

[7]  C. Meessen,et al.  Simulation of PIXSCAN, a photon counting micro-CT for small animal imaging , 2009 .

[8]  S. Vandenberghe,et al.  Physics process level discrimination of detections for GATE: assessment of contamination in SPECT and spurious activity in PET. , 2009, Medical Physics (Lancaster).

[9]  M. Asai,et al.  Benchmarking of Monte Carlo simulation of bremsstrahlung from thick targets at radiotherapy energies. , 2008, Medical physics.

[10]  H. Paganetti,et al.  Physics Settings for Using the Geant4 Toolkit in Proton Therapy , 2008, IEEE Transactions on Nuclear Science.

[11]  L Maigne,et al.  Validation of a dose deposited by low-energy photons using GATE/GEANT4 , 2008, Physics in medicine and biology.

[12]  David Sarrut,et al.  Region-oriented CT image representation for reducing computing time of Monte Carlo simulations. , 2008, Medical physics.

[13]  Helen H Liu,et al.  Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning. , 2007, Medical physics.

[14]  D W O Rogers,et al.  Efficiency improvements of x-ray simulations in EGSnrc user-codes using bremsstrahlung cross-section enhancement (BCSE). , 2007, Medical physics.

[15]  I. Kawrakow,et al.  Efficient photon beam dose calculations using DOSXYZnrc with BEAMnrc. , 2006, Medical physics.

[16]  Iwan Kawrakow,et al.  Efficient x-ray tube simulations. , 2006, Medical physics.

[17]  I. Chetty,et al.  Reporting and analyzing statistical uncertainties in Monte Carlo-based treatment planning. , 2006, International journal of radiation oncology, biology, physics.

[18]  S. Incerti,et al.  Geant4 developments and applications , 2006, IEEE Transactions on Nuclear Science.

[19]  S. Nehmeh,et al.  Validation of GATE Monte Carlo simulations of the GE Advance/Discovery LS PET scanners. , 2005, Medical physics.

[20]  I. Kawrakow On the efficiency of photon beam treatment head simulations. , 2005, Medical physics.

[21]  E. Poon,et al.  Accuracy of the photon and electron physics in GEANT4 for radiotherapy applications. , 2005, Medical physics.

[22]  Michael K Fix,et al.  Photon-beam subsource sensitivity to the initial electron-beam parameters. , 2005, Medical physics.

[23]  R. Mohan,et al.  Reference photon dosimetry data and reference phase space data for the 6 MV photon beam from varian clinac 2100 series linear accelerators. , 2004, Medical physics.

[24]  L Peralta,et al.  Application of GEANT4 radiation transport toolkit to dose calculations in anthropomorphic phantoms. , 2004, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[25]  P. Keall,et al.  Monte Carlo source model for photon beam radiotherapy: photon source characteristics. , 2004, Medical physics.

[26]  I. Kawrakow,et al.  Large efficiency improvements in BEAMnrc using directional bremsstrahlung splitting. , 2004, Medical physics.

[27]  D. Visvikis,et al.  GATE: a simulation toolkit for PET and SPECT , 2004, Physics in medicine and biology.

[28]  L. Beaulieu,et al.  Validation of GEANT4, an object-oriented Monte Carlo toolkit, for simulations in medical physics. , 2004, Medical physics.

[29]  Frank Verhaegen,et al.  Monte Carlo modelling of external radiotherapy photon beams. , 2003, Physics in medicine and biology.

[30]  I. Kawrakow,et al.  History by history statistical estimators in the BEAM code system. , 2002, Medical physics.

[31]  M. Fix,et al.  A multiple source model for 6 MV photon beam dose calculations using Monte Carlo. , 2001, Physics in medicine and biology.

[32]  J. Sempau,et al.  Monte Carlo simulation of electron beams from an accelerator head using PENELOPE. , 2001, Physics in medicine and biology.

[33]  P Rüegsegger,et al.  Simple beam models for Monte Carlo photon beam dose calculations in radiotherapy. , 2000, Medical physics.

[34]  T Pawlicki,et al.  Photon beam characterization and modelling for Monte Carlo treatment planning. , 2000, Physics in medicine and biology.

[35]  D. Low,et al.  A technique for the quantitative evaluation of dose distributions. , 1998, Medical physics.

[36]  Fons Rademakers,et al.  ROOT — An object oriented data analysis framework , 1997 .

[37]  W. L. Dunn,et al.  Workshop on Use of Monte Carlo Techniques for Design and Analysis of Radiation Detectors , 2006 .

[38]  Maria Grazia Pia,et al.  GEANT4 SIMULATION OF AN ACCELERATOR HEAD FOR INTENSITY MODULATED RADIOTHERAPY , 2005 .

[39]  R. Mohan,et al.  Correlated histogram representation of Monte Carlo derived medical accelerator photon-output phase space. , 1999, Medical physics.