Monte Carlo study on electron contamination and output factors of small field dosimetry in 6 MV photon beam
| Autor: | Mohamad Fahdillah Rhani, Sitti Yani, Roger C.X. Soh, Idam Arif, I Gde Eka Dirgayussa, Freddy Haryanto |
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| Přispěvatelé: | School of Physical and Mathematical Sciences |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Field (physics)
Computer Networks and Communications Monte Carlo method Photon Beam Electron Science::Physics [DRNTU] Linear particle accelerator Imaging phantom 030218 nuclear medicine & medical imaging Small field 03 medical and health sciences 0302 clinical medicine Optics Dosimetry Monte Carlo Fluid Flow and Transfer Processes Physics business.industry General Engineering Contamination Computational Mathematics Chemistry (miscellaneous) 030220 oncology & carcinogenesis Modeling and Simulation business Energy (miscellaneous) |
| Popis: | The purpose of this study was to investigate the characteristics of electron contamination and Output Factors (OFs) from Varian Trilogy Clinac iX 6 MV photon beam at small field sizes. EGSnrc Monte Carlo (MC) code system was used to model the photon beam for this Linear Accelerator (Linac) head and analyze the electron contamination and OFs from this treatment head. The electron contamination was analyzed for field sizes of 1 × 1, 2 × 2, 3 × 3, 4 × 4, and 5 × 5 cm2. The number of electron contamination increases with increasing field sizes, but the maximum energy of the electron contamination stays constant (at around 1.87 MeV for each field size). The contaminants contribute to the dose at the surface of the water phantom (1–5 cm from the surface) for field size 4 × 4 and 5 × 5 cm2 and this dose decreases with depth. The OFs are simulated by EGSnrc code system and have a good agreement with measurement (deviation 3.45, 1.76, and 0.86 for field of 2, 3 and 4, respectively). This study presented that MC methods have great potential to accurately predict the electron contamination and OFs for 6 MV photon beam. Published version |
| Databáze: | OpenAIRE |
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