Literature DB >> 21248389

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

L Grevillot1, T Frisson, D Maneval, N Zahra, J-N Badel, D Sarrut.   

Abstract

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 cm(2) 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 cm(2) radiation field, using voxels of 5 × 5 × 5 mm(3). 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.

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Year:  2011        PMID: 21248389     DOI: 10.1088/0031-9155/56/4/002

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  18 in total

1.  Multi-layer imager design for mega-voltage spectral imaging.

Authors:  Marios Myronakis; Yue-Houng Hu; Rony Fueglistaller; Adam Wang; Paul Baturin; Pascal Huber; Daniel Morf; Josh Star-Lack; Ross Berbeco
Journal:  Phys Med Biol       Date:  2018-05-10       Impact factor: 3.609

2.  A Monte Carlo study of the impact of phosphor optical properties on EPID imaging performance.

Authors:  Mengying Shi; Marios Myronakis; Yue-Houng Hu; Daniel Morf; Joerg Rottmann; Ross Berbeco
Journal:  Phys Med Biol       Date:  2018-08-20       Impact factor: 3.609

3.  A novel multilayer MV imager computational model for component optimization.

Authors:  Marios Myronakis; Josh Star-Lack; Paul Baturin; Joerg Rottmann; Daniel Morf; Adam Wang; Yue-Houng Hu; Daniel Shedlock; Ross I Berbeco
Journal:  Med Phys       Date:  2017-06-28       Impact factor: 4.071

4.  Determination and validation of the initial beam parameters of Elekta Agility collimator head by Monte Carlo simulations.

Authors:  Bhagat Chand; Ranjit Singh; Mukesh Kumar
Journal:  Phys Eng Sci Med       Date:  2022-07-18

5.  Geometrical splitting technique to improve the computational efficiency in Monte Carlo calculations for proton therapy.

Authors:  José Ramos-Méndez; Joseph Perl; Bruce Faddegon; Jan Schümann; Harald Paganetti
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

6.  Normal lung tissue complication probability in MR-Linac and conventional radiotherapy.

Authors:  Somayeh Gholami; Francesco Longo; Sara Shahzadeh; Hassan Ali Nedaie; Ryan Sharp; Ali S Meigooni
Journal:  Rep Pract Oncol Radiother       Date:  2020-09-29

7.  Validation of Monte carlo Geant4 multithreading code for a 6 MV photon beam of varian linac on the grid computing.

Authors:  Assalmi Mustapha; Diaf El Yamani; Mansour Najim
Journal:  Rep Pract Oncol Radiother       Date:  2020-10-12

Review 8.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

9.  GPU-accelerated Monte Carlo simulation of MV-CBCT.

Authors:  Mengying Shi; Marios Myronakis; Matthew Jacobson; Dianne Ferguson; Christopher Williams; Mathias Lehmann; Paul Baturin; Pascal Huber; Rony Fueglistaller; Ingrid Valencia Lozano; Thomas Harris; Daniel Morf; Ross I Berbeco
Journal:  Phys Med Biol       Date:  2020-12-02       Impact factor: 4.174

10.  A rapid, accurate image simulation strategy for mega-voltage cone-beam computed tomography.

Authors:  Mengying Shi; Marios Myronakis; Matthew Jacobson; Mathias Lehmann; Dianne Ferguson; Paul Baturin; Pascal Huber; Rony Fueglistaller; Thomas Harris; Ingrid Valencia Lozano; Christopher Williams; Daniel Morf; Ross I Berbeco
Journal:  Phys Med Biol       Date:  2020-07-06       Impact factor: 4.174

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