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Dosimetric Analysis of Rhizophora -based Phantom Material in Radiation Therapy Applications Using Monte Carlo GATE Simulation.
- Source :
-
Journal of medical physics [J Med Phys] 2023 Oct-Dec; Vol. 48 (4), pp. 358-364. Date of Electronic Publication: 2023 Dec 05. - Publication Year :
- 2023
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Abstract
- Purpose: This study aims to determine the percentage depth dose (PDD) of a phantom material made from soy-lignin bonded Rhizophora spp. particleboard coated with a gloss finish by using Monte Carlo Geant4 Application for Tomographic Emission (GATE) simulation.<br />Materials and Methods: The particleboard was fabricated using a hot pressing technique at target density of 1.0 g·cm <superscript>-3</superscript> and the elemental fraction was recorded for the simulation. The PDD was simulated in the GATE simulation using the linear accelerator Elekta Synergy model for the water phantom and Rhizophora phantom, and the results were compared with the experimental PDD performed by several studies. Beam flatness and beam symmetry were also measured in this study.<br />Results: The simulated PDD for Rhizophora and water was in agreement with the experimental PDD of water with overall discrepancies of 0% to 8.7% at depth ranging from 1.0 to 15.0 cm. In the GATE simulation, all the points passed the clinical 3%/3 mm criterion in comparison with water, with the final percentage of 2.34% for Rhizophora phantom and 2.49% for the water phantom simulated in GATE. Both the symmetries are all within the range of an acceptable value of 2.0% according to the recommendation, with the beam symmetry of the water phantom and Rhizophora phantom at 0.58% and 0.28%, respectively.<br />Conclusions: The findings of this study provide the necessary foundation to confidently use the phantom for radiotherapy purposes, especially in treatment planning.<br />Competing Interests: There are no conflicts of interest.<br /> (Copyright: © 2023 Journal of Medical Physics.)
Details
- Language :
- English
- ISSN :
- 0971-6203
- Volume :
- 48
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of medical physics
- Publication Type :
- Academic Journal
- Accession number :
- 38223797
- Full Text :
- https://doi.org/10.4103/jmp.jmp_75_23