Integration of the M6 Cyberknife in the Moderato Monte Carlo platform and prediction of beam parameters using machine learning.

Journal: 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 (AIFB)
Published Date: Jan 30, 2020

Abstract

PURPOSE: This work describes the integration of the M6 Cyberknife in the Moderato Monte Carlo platform, and introduces a machine learning method to accelerate the modelling of a linac.

Authors

  • A Wagner
    Department of Medical Physics, Centre Oscar Lambret, Lille, France; Faculty of Biomedical Sciences, University of Brussels ULB, Belgium. Electronic address: a-wagner@o-lambret.fr.
  • K Brou Boni
    Department of Medical Physics, Centre Oscar Lambret, Lille, France; University of Lille, CNRS, CRIStAL, Centrale Lille, France.
  • E Rault
    Department of Medical Physics, Centre Oscar Lambret, Lille, France.
  • F Crop
    Department of Medical Physics, Centre Oscar Lambret, Lille, France.
  • T Lacornerie
    Department of Medical Physics, Centre Oscar Lambret, Lille, France.
  • D Van Gestel
    Faculty of Biomedical Sciences, University of Brussels ULB, Belgium; Department of Radiation Therapy, Institut Jules Bordet, Brussels, Belgium.
  • N Reynaert
    Department of Medical Physics, Centre Oscar Lambret, Lille, France; Faculty of Biomedical Sciences, University of Brussels ULB, Belgium; Department of Medical Physics, Institut Jules Bordet, Brussels, Belgium.

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