A Monte Carlo multiple source model applied to radiosurgery narrow photon beams

2004 ◽  
Vol 31 (8) ◽  
pp. 2192-2204 ◽  
Author(s):  
A. Chaves ◽  
M. C. Lopes ◽  
C. C. Alves ◽  
C. Oliveira ◽  
L. Peralta ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Source Model ◽  
Multiple Source ◽  
Photon Beams

A multiple source model for 6 MV photon beam dose calculations using Monte Carlo

2001 ◽  
Vol 46 (5) ◽  
pp. 1407-1427 ◽  
Author(s):  
Michael K Fix ◽  
Marco Stampanoni ◽  
Peter Manser ◽  
Ernst J Born ◽  
Roberto Mini ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Source Model ◽  
Multiple Source ◽  
Photon Beam ◽  
Dose Calculations ◽  
Beam Dose

Monte Carlo simulation of a dynamic MLC based on a multiple source model

2001 ◽  
Vol 46 (12) ◽  
pp. 3241-3257 ◽  
Author(s):  
Michael K Fix ◽  
Peter Manser ◽  
Ernst J Born ◽  
Roberto Mini ◽  
Peter Rüegsegger
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Source Model ◽  
Multiple Source

scholarly journals Development of a Monte Carlo multiple source model for inclusion in a dose calculation auditing tool

2017 ◽  
Vol 44 (9) ◽  
pp. 4943-4951 ◽  
Author(s):  
Austin M. Faught ◽  
Scott. E. Davidson ◽  
Jonas Fontenot ◽  
Stephen F. Kry ◽  
Carol Etzel ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Dose Calculation ◽  
Source Model ◽  
Multiple Source

scholarly journals Hybrid Monte Carlo source model: Advantages and deficiencies

2018 ◽  
Vol 24 (2) ◽  
pp. 65-74
Author(s):  
Déte van Eeden ◽  
Freek C.P. du Plessis
Keyword(s):  
Monte Carlo ◽  
Radiation Treatment ◽  
Treatment Plan ◽  
Dose Calculation ◽  
Source Model ◽  
Photon Beams ◽  
Depth Dose ◽  
Source Models ◽  
Speed Up ◽  
Planar Electron

Abstract Monte Carlo (MC) simulation is the gold standard for dose calculation. An accurate mathematical source model can be used for the radiation beams. Source models can consist of sub-sources or fewer sources with data that need to be measured. This can speed up treatment plan verification without the need for a full simulation of the radiation treatment machine. Aims: This study aimed to construct a novel hybrid source model for 6 MV photon beams for an Elekta Synergy accelerator and to commission it against measured beam data and treatments plans. Methods and Material: The model comprised of a circular photon and planar electron contamination source. The modified Schiff formula provided off-axis variable bremsstrahlung spectra. Collimation and scatter were modelled with error functions. An exponential function modelled the transmitted fluence through the collimators. The source model was commissioned by comparing simulated and measured MC data. Dose data included profiles, depth dose and film measurements in a Rando phantom. Field sizes ranged from 1 × 1 cm2 to 40 × 40 cm2. Results: Regular, wedged and asymmetrical fields could be modelled within 1.5% or 1.5 mm. More than 95% of all points lie within 3% or 3 mm for the multi-leaf collimators contours data. A gamma criterion of 3% or 3 mm was met for a complex treatment case. Conclusions: The two sub-source model replicated clinical 6 MV Elekta Synergy photons beams and could calculate the dose accurately for conformal treatments in complex geometries such as a head-and-neck case.

A Convenient Multiple Source Model for VARIAN 2300C 6 MV-X Beam Based on Monte Carlo Simulated Linac

2009 ◽  
Vol 168 (3) ◽  
pp. 706-712
Author(s):  
Hui Lin ◽  
Liangfeng Xu ◽  
Jia Jing ◽  
Guoli Li ◽  
Yang Zhu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Source Model ◽  
Multiple Source

Determination of parameters for a multiple-source model of megavoltage photon beams using optimization methods

2007 ◽  
Vol 52 (5) ◽  
pp. 1441-1467 ◽  
Author(s):  
L Tillikainen ◽  
S Siljamäki ◽  
H Helminen ◽  
J Alakuijala ◽  
J Pyyry
Keyword(s):  
Optimization Methods ◽  
Source Model ◽  
Multiple Source ◽  
Photon Beams ◽  
Determination Of Parameters

Development of a new virtual source model for portal image prediction using the Monte Carlo code penelope

2014 ◽  
Vol 30 ◽  
pp. e141
Author(s):  
I. Chabert ◽  
D. Lazaro ◽  
E. Barat ◽  
T. Dautremer ◽  
T. Montagu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Source Model ◽  
Monte Carlo Code ◽  
Virtual Source ◽  
Image Prediction
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