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Monte Carlo Simulation for the Radixact™ Tomotherapy Linac Using EGSnrc.

Danial Seifi Makrani1,2, Hassan Ali Nedaei1,2, Ghazale Geraily1,2

  • 1Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.

Journal of Medical Physics
|November 11, 2024
PubMed
Summary

This study developed a Monte Carlo (MC) model for a TomoTherapy linear accelerator, accurately predicting electron beam characteristics. The validated model enables reliable dose distribution calculations for advanced radiation therapy.

Keywords:
BEAMnrcDOSXYZnrcMonte Carlotomotherapy

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Modeling

Background:

  • Accurate Monte Carlo (MC) simulations of linear accelerators require precise data on electron beam properties, which are often unavailable from manufacturers.
  • This lack of information hinders the development of reliable MC models for treatment planning and verification.

Purpose of the Study:

  • To forecast the incident electron beam's energy, radial intensity (spot size), and angular spread for a Radixact™ TomoTherapy Linac.
  • To verify a developed MC-simulated linear accelerator model using experimental measurements.

Main Methods:

  • Utilized the BEAMnrc code to simulate a 6 MV photon beam from a Radixact™ TomoTherapy Linac.
  • Performed percentage depth dose and beam profile calculations using DOSYXZnrc, comparing them to measurements via the Gamma index.
  • Fine-tuned electron energy, spot size, and angular spread to minimize discrepancies between simulated and measured data.

Main Results:

  • The optimized MC model determined an electron beam energy of 5.8 MeV and a spot size of 1.4 mm.
  • An average angular spread of 0.05 significantly reduced profile disparities, with 88.6% of points passing the 1%/1 mm Gamma test.
  • Output factor discrepancies between the MC model and measurements were within 1.5%.

Conclusions:

  • A reliable MC model for the Radixact™ TomoTherapy Linac was successfully created using the BEAMnrc code.
  • This validated model can be confidently used for accurate dose distribution calculations in radiation therapy.