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Optimization of Phase Space files from clinical linear accelerators.

Juliana Cristina Martins1, Rangoli Saxena1, Sebastian Neppl2

  • 1Department of Medical Physics, Faculty of Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748 Garching b. München, Germany.

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)
|September 14, 2019
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Summary

This study optimized the phase-space file for Elekta Synergy linac Monte Carlo simulations. The optimized file significantly improves dose calculation accuracy compared to the original IAEA file.

Keywords:
Medical Linear Accelerator (linac)Monte CarloPhase Space

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Dosimetry

Background:

  • Monte Carlo (MC) simulations are crucial for accurate radiation therapy dose calculations.
  • The accuracy of MC simulations heavily relies on the quality of the phase-space (PhSp) file.
  • Existing IAEA phase-space files may require optimization for specific linear accelerator models like the Elekta Synergy.

Purpose of the Study:

  • To develop an optimized phase-space (PhSp) file for the Elekta Synergy linac (6-MV photon beam).
  • To improve the accuracy of Monte Carlo dose calculations by tuning particle energy and direction in the PhSp.
  • To provide an alternative for MC dose calculations when full linac modeling or validated IAEA PhSp are unavailable.

Main Methods:

  • Tuning particle energies within the IAEA 6-MV Elekta Precise PhSp.
  • Comparing simulated Percentage Depth Dose (PDD) profiles with measured data for iterative energy optimization.
  • Manipulating particle directions based on correlations with lateral profiles (inline and crossline).
  • Merging inline and crossline perturbation factors into a single optimal factor.

Main Results:

  • An energy increase of 0.32 MeV for most particles (and 0.511 MeV for annihilation photons) yielded optimal results.
  • A combined direction optimization factor was derived from inline (0.605%) and crossline (0.051%) profiles.
  • Discrepancies in PDD, inline, and crossline profiles reduced from 11.2%, 15.7%, and 27.5% to under 1.4%, 4.7%, and 13.2%, respectively.
  • Considerable improvement in agreement between measured and simulated profiles using the optimized PhSp.

Conclusions:

  • The optimized phase-space file significantly enhances the accuracy of MC dose calculations for the Elekta Synergy linac.
  • This optimized PhSp offers a valuable alternative for MC simulations, particularly when detailed linac geometry or validated IAEA PhSp are lacking.
  • While not a replacement for full linac modeling, the optimized PhSp provides a practical solution for improved dose prediction.