N. Reynaert, S. van der Marck and D. Schaart, “Monte Carlo Treatment Planning—An Introduction, Nederlandse Commissie Voor Stralingsdosimetrie,” Report 16 of the Netherlands Commission on Radiation Dosimetry Netherlands, Commission on Radiation Dosimetry Subcommission Monte Carlo Treatment Planning.

has been cited by the following article:

• TITLE: Computing Efficiency Improvement in Monte Carlo Simulation of a 12 MV Photon Beam Medical LINAC

  AUTHORS: M. Zoubair, T. El Bardouni, O. Allaoui, Y. Boulaich, B. El Bakkari, C. El Younoussi, H. Boukhal, E. Chakir

  KEYWORDS: Variance Reduction Techniques; Phase Space; LINAC; Monte Carlo Simulation

  JOURNAL NAME: World Journal of Nuclear Science and Technology, Vol.3 No.1, January 30, 2013

  ABSTRACT: Variance reduction techniques (VRTs) have been tremendously successful when applied to Monte Carlo radiation transport codes for which the computation time constitutes an important and a problematic parameter. In fact, many Monte Carlo calculations absolutely require variance reduction methods to achieve practical computation times. The MCNPX code has a fairly rich set of variance reduction techniques; the most known are transport cutoffs, interaction forcing, Bremsstrahlung splitting and Russian roulette. Also, the use of a phase space seems to be appropriate to reduce enormously the computing time. This work deals with the use of VRTs provided by MCNPX code for the simulation of a clinical linear electron accelerator (LINAC). Differences between various sets of VRTs are investigated. Combination between VRTs and PS is also analyzed during this study. Analysis showed that the use of VRTs and PS improve the simulation efficiency by a factor greater than 700. Finally, experimental curves of depth-dose and dose profile performed in a homogeneous water phantom are compared to dose distributions computed by use of MCNPX Monte Carlo code.