Journals / Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering / 2021 / Cilt: 63 Sayı: 2

Geant4 based dosimetry evaluation for gamma knife using different phantom materials

Pages
118–126
Publication Date
2021-12-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, the polystyrene and PMMA (phantom is also quite appropriate in terms of evaluating the dose profiles of the Gamma Knife unit.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines the dose difference for a variety of phantom materials that can be employed for “Leksell Gamma” Knifes.
📊
Key Findings & Data:Geant4 was utilized in the analysis of the dose distributions for collimator helmet sizes of 4mm and 8mm.
💡
Conclusion & Impact:In addition, the polystyrene and PMMA (phantom is also quite appropriate in terms of evaluating the dose profiles of the Gamma Knife unit.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Geant4 · simulation · gamma knife

Abstract

This study examines the dose difference for a variety of phantom materials that can be employed for “Leksell Gamma” Knifes. These materials resemble human tissue by not including the skull bone. Geant4 was utilized in the analysis of the dose distributions for collimator helmet sizes of 4mm and 8mm. The phantom is illustrated with a radius of 80mm. Water, brain, Poly-methyl methacrylate (PMMA) and polystyrene were being considered as the main material types. Results proved that there is no considerable differences for radiation dosimetries depending on the material types. In addition, the polystyrene and PMMA (phantom is also quite appropriate in terms of evaluating the dose profiles of the Gamma Knife unit.

🔖

Cite This Article

DAĞLI, Ö., BOSTANCI, G. E., EMMEZ, H., KURT, G., EKİNCİ, F., GÜZEL, M. S. (2021). Geant4 based dosimetry evaluation for gamma knife using different phantom materials. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Cilt: 63 Sayı: 2, 118–126. https://ajindex.com/articles/926234

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Bertolino, N., Experimental validation of Monte Carlo simulation of Leksell Gamma Knife Perfexion stereotactic radiosurgery system. PhD Thesis, Università Degli Studi Di Milano, (2009), 6-17.
  2. Goetsch, S.J., Risk analysis of Leksell Gamma Knife Model C with automatic positioning system, Int. J. Radiat. Oncol. Biol. Phys., 52 (2002), 869-877. https://doi.org/:10.1016/s0360-3016(01)02718-3 Leksell Gamma Plan Instructions for Use for Version 4.0-Target Series, Elekta, 1996.
  3. Ekinci, F., Bostanci, E., Dagli, O., Guzel, M.S., Analysis of Bragg curve parameters and lateral straggle for proton and carbon beams, Commun. Fac. Sci. Univ. Ank. Ser. A2-A3, 63 (1) (2021), 32-41. https://doi.org/:10.33769/aupse.864475
  4. Dagli, O., Bostanci, E., Emmez, O.H., Ekinci, F., Celtikci, E., A statistical analysis of the effect of different embolization materials on Gamma Knife arteriovenous malformation dose distributions, arXiv:2101.08034 (2021). https://arxiv.org/abs/2101.08034
  5. Ekinci, F., Bostanci, E., Dagli, O., Guzel, M.S., Recoil analysis for heavy ion beams, arXiv:2101.09720 (2021). https://arxiv.org/abs/2101.09720 ICRU Report 62 Prescribing, Recording and Reporting Photo Beam Therapy (Supplement to ICRU Report 50), Bethesda, (1999).
  6. Aksoy, A., Karsli, O., Aydin, A., Kaya, C., Ketenoglu, B., Ketenoglu, D. and Yavas, O. Current status of Turkish accelerator and radiation laboratory in Ankara: the TARLA facility, Can. J. Phys., 96 (7) (2018), 837-842. https://doi.org/10.1139/cjp-2017-0750
  7. Ketenoglu, D., Bostanci, E., Aydin, A., Ketenoglu, B., A hard X-ray self-amplified spontaneous emission free-electron laser optimization using evolutionary algorithms for dedicated user applications, Turk. J. Phys., 43 (2019), 551-555. https://doi.org/10.3906/fiz-1909-5
  8. Agostinelli, S., Allision, J., Amaka, K., Apostolakis, J., Araujo, H., Arce, P., et al., GEANT4-A simulation toolkit, Nucl. Instrum. Methods Phys. Res. A, 506 (2003), 250- 303. https://doi.org/10.1016/S0168-9002(03)01368-8 ICPR. (2010, Feburary 10). https://physics.nist.gov/cgi-bin/Star/compos.pl?matno=123
  9. Li, J.S., Ma, C.M., A method to reduce the statistical uncertainty caused by high energy cutoffs in Monte Carlo treatment planning, J. Phys. Conf. Ser., 102 (2008), 012015. https://doi.org/:10.1088/1742-6596/102/1/012015
  10. KEK, Geant4 Toolkit for the simulation. (2010, Feburary 10). http://www-geant4.kek.jp/
  11. Cuttone, G., Mongelli, V., Romano, F., Russo, G., Sabini, M., Geant4 based simulation of the Leksell Gamma Knife for tre