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Moscow University Physics Bulletin

, Volume 72, Issue 6, pp 647–652 | Cite as

Relative Attenuation and Beam Softening Study with Flattening Filter Volume Reduction: Monte Carlo Study

  • Mohamed Bencheikh
  • Abdelmajid Maghnouj
  • Jaouad Tajmouati
Biophysics and Medical Physics
  • 13 Downloads

Abstract

The flattening filter (FF) volume reduction increases the clinical photons for deep tumor treatment. The beam softening determination is crucial for flattening filter improvement in geometry and materials. Determination and understanding the photon beam properties using material and geometry of a beam modifier is very important for dosimetry improvement in radiotherapy department and also for patient life quality development. This Monte Carlo study aims to investigate the relative attenuation and associated beam softening due to flattening filter volume reduction. The FF volume was reduced by 10, 20, and 30% of the initial volume data provided by the manufacturer. The relative attenuation and beam softening coefficients increased with FF volume reduction more near the beam central axis than the beam edge. We have illustrated that relative photon beam softening coefficient v was more stable than the coefficient u as a function of offaxis distance and with FF volume reduction. For increasing the photon fluence and dose delivered inside the phantom volume as mentioned in IAEA protocols, the FF volume should be reduced more near the FF top region than the FF edge region. Our work can be a basic investigation that will be used in improvement for the future linac configuration in terms of photon beam softening for material, geometry, and volume that were used in beam modifiers as a flattening filter.

Keywords

flattening filter volume Monte Carlo simulation photon beam softening BEAMnrc code BEAMDP code 

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References

  1. 1.
    M. Bencheikh, A. Maghnouj and T. Tajmouati, “Photon beam softening coefficients evaluation for a 6MeV photon beam for an aluminum slab: Monte Carlo study using BEAMnrc code, DOSXYZnrc code and BEAMDP code,” Moscow Univ. Phys. Bull. 72, 263–270 (2017).ADSCrossRefGoogle Scholar
  2. 2.
    THERAPLAN Plus Technical Reference Manual, 18th ed. (MDS Nordion, Canada, 2000).Google Scholar
  3. 3.
    M. Muhammad, M. Wazir, S. Muhammad, A. Misbah, and M. Matiullah, “Accuracy checks of physical beam modifier factors algorithm used in computerized treatment planning system for a 15MeV photon beam,” Rep. Pract. Oncol. Radiother. 14, 214–220 (2009).CrossRefGoogle Scholar
  4. 4.
    M. Bencheikh, A. Maghnouj, and J. Tajmouati, “Energetic properties’ investigation of removing flattening filter at phantom surface: Monte Carlo study using BEAMnrc code, DOSXYZnrc code and BEAMDP code,” Phys. Part. Nucl. Lett. 14, 953–962 (2017).CrossRefGoogle Scholar
  5. 5.
    A. Didi, A. Dadouch, M. Bencheikh, and O. Jai, “Monte Carlo simulation of thermal neutron flux of americium–beryllium source used in neutron activation analysis,” Moscow Univ. Phys. Bull. 72, 460–464 (2017)ADSCrossRefGoogle Scholar
  6. 6.
    A. Didi, A. Dadouch and H. El Bekkouri, “Feasibility study for production of iodine-131 using dioxide of tellurium-130,” Int. J. Pharm. Pharm. Sci. 8, 327–331 (2016)CrossRefGoogle Scholar
  7. 7.
    D. W. O. Rogers, B. Walters, and I. Kawrakow, BEAMnrc Users Manual (Ottawa, 2013), pp. 12–254.Google Scholar
  8. 8.
    D. W. O. Rogers, I. Kawrakow, J. P. Seuntjens, B. Walters, and H. E. Mainegra, NRC User Codes for EGSnrc (Ottawa, 2013), pp. 6–83.Google Scholar
  9. 9.
    M. Bencheikh, A. Maghnouj, and T. Tajmouati, “Validation of Monte Carlo simulation of 6MV photon beam produced by Varian Clinac 2100 linear accelerator using BEAMnrc code and DOSXYZnrc code,” Phys. Part. Nucl. Lett. 14, 780–787 (2017).CrossRefGoogle Scholar
  10. 10.
    C. M. Ma and D. W. O. Rogers, BEAMDP Users Manual, National Research Council of Canada (National Research Council of Canada, Ottawa, 2013, pp. 3–24.Google Scholar
  11. 11.
    P. Lonski, M. L. Taylor, R. D. Franich, P. Harty, and T. Kron, “Assessment of leakage doses around the treatment heads of different linear accelerators,” Radiat. Prot. Dosim. 152, 304–312 (2012).CrossRefGoogle Scholar
  12. 12.
    Absorbed Dose Determination in External Beam Radiotherapy (International Atomic Energy Agency, Vienna, 2000), pp. 110–133.Google Scholar
  13. 13.
    M. Bencheikh, A. Maghnouj, and J. Tajmouati, “Photon beam softening coefficient determination with slab thickness in small filed size: Monte Carlo study,” Phys. Part. Nucl. Lett. 14, 963–970 (2017).CrossRefGoogle Scholar

Copyright information

© Allerton Press, Inc. 2017

Authors and Affiliations

  • Mohamed Bencheikh
    • 1
  • Abdelmajid Maghnouj
    • 1
  • Jaouad Tajmouati
    • 1
  1. 1.LISTA Laboratory, Department of Physics, Faculty of Sciences Dhar El-MahrazUniversity of Sidi Mohamed Ben AbdellahFezMorocco

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