Dosimetry evaluation based on radiation interaction probability of Rhizophora spp. bonded with soy protein phantom for medical physics applications

Introduction: Tissue equivalent phantom (TEP) materials are effective tools for medical physics development, optimisation, and performance evaluation. A Malaysian mangrove wood, Rhizophora spp. (R.spp) bonded with soy protein phantom, was studied as a potential TEP in medical physics application. Th...

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Main Authors: Rabaiee, Nor Ain, Abdul Aziz, Mohd Zahri, Tajuddin, Abdul Aziz, Hashim, Rokiah
Format: Article
Language:English
Published: Faculty of Medicine Universiti Kebangsaan Malaysia 2023
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Online Access:http://irep.iium.edu.my/109337/6/109337_Dosimetry%20evaluation%20based%20on%20radiation%20interaction%20probability%20of%20Rhizophora.pdf
http://irep.iium.edu.my/109337/
https://www.medicineandhealthukm.com/toc/18/7%20%28suppl%29
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spelling my.iium.irep.1093372023-12-28T01:55:05Z http://irep.iium.edu.my/109337/ Dosimetry evaluation based on radiation interaction probability of Rhizophora spp. bonded with soy protein phantom for medical physics applications Rabaiee, Nor Ain Abdul Aziz, Mohd Zahri Tajuddin, Abdul Aziz Hashim, Rokiah QC Physics Introduction: Tissue equivalent phantom (TEP) materials are effective tools for medical physics development, optimisation, and performance evaluation. A Malaysian mangrove wood, Rhizophora spp. (R.spp) bonded with soy protein phantom, was studied as a potential TEP in medical physics application. The aim of this study is to determine the radiation probability interaction of R. spp bonded with soy protein phantom. Materials and Methods: The R.spp bonded with soy protein was evaluated for its elemental composition. Then, the probability of photon interaction was obtained at energy from 1 keV to 50 MeV using a Monte Carlo simulation with EGSnrc PEGS4 (EGSnrc – electron gamma shower by National Research Council, PEGS4 – pre-electron gamma shower 4). The EGSnrc PEGS4 was used to interpolate experimental results and compared with that of water and solid water phantoms. Results: The identical curve was observed at three different media; R.spp bonded with soy protein phantom, solid water phantom and water phantom for different photon interaction; photoelectric absorption, Compton scattering and pair production between the energy range of 1 keV to 50 MeV. Conclusion: The R.spp bonded with soy protein particleboard phantom was shown to be ideal for use in medical physics dosimetry as TEP material. Faculty of Medicine Universiti Kebangsaan Malaysia 2023-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/109337/6/109337_Dosimetry%20evaluation%20based%20on%20radiation%20interaction%20probability%20of%20Rhizophora.pdf Rabaiee, Nor Ain and Abdul Aziz, Mohd Zahri and Tajuddin, Abdul Aziz and Hashim, Rokiah (2023) Dosimetry evaluation based on radiation interaction probability of Rhizophora spp. bonded with soy protein phantom for medical physics applications. Medicine & Health, 18 (7 (Suppl)). p. 42. E-ISSN 2289-5728 https://www.medicineandhealthukm.com/toc/18/7%20%28suppl%29
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QC Physics
spellingShingle QC Physics
Rabaiee, Nor Ain
Abdul Aziz, Mohd Zahri
Tajuddin, Abdul Aziz
Hashim, Rokiah
Dosimetry evaluation based on radiation interaction probability of Rhizophora spp. bonded with soy protein phantom for medical physics applications
description Introduction: Tissue equivalent phantom (TEP) materials are effective tools for medical physics development, optimisation, and performance evaluation. A Malaysian mangrove wood, Rhizophora spp. (R.spp) bonded with soy protein phantom, was studied as a potential TEP in medical physics application. The aim of this study is to determine the radiation probability interaction of R. spp bonded with soy protein phantom. Materials and Methods: The R.spp bonded with soy protein was evaluated for its elemental composition. Then, the probability of photon interaction was obtained at energy from 1 keV to 50 MeV using a Monte Carlo simulation with EGSnrc PEGS4 (EGSnrc – electron gamma shower by National Research Council, PEGS4 – pre-electron gamma shower 4). The EGSnrc PEGS4 was used to interpolate experimental results and compared with that of water and solid water phantoms. Results: The identical curve was observed at three different media; R.spp bonded with soy protein phantom, solid water phantom and water phantom for different photon interaction; photoelectric absorption, Compton scattering and pair production between the energy range of 1 keV to 50 MeV. Conclusion: The R.spp bonded with soy protein particleboard phantom was shown to be ideal for use in medical physics dosimetry as TEP material.
format Article
author Rabaiee, Nor Ain
Abdul Aziz, Mohd Zahri
Tajuddin, Abdul Aziz
Hashim, Rokiah
author_facet Rabaiee, Nor Ain
Abdul Aziz, Mohd Zahri
Tajuddin, Abdul Aziz
Hashim, Rokiah
author_sort Rabaiee, Nor Ain
title Dosimetry evaluation based on radiation interaction probability of Rhizophora spp. bonded with soy protein phantom for medical physics applications
title_short Dosimetry evaluation based on radiation interaction probability of Rhizophora spp. bonded with soy protein phantom for medical physics applications
title_full Dosimetry evaluation based on radiation interaction probability of Rhizophora spp. bonded with soy protein phantom for medical physics applications
title_fullStr Dosimetry evaluation based on radiation interaction probability of Rhizophora spp. bonded with soy protein phantom for medical physics applications
title_full_unstemmed Dosimetry evaluation based on radiation interaction probability of Rhizophora spp. bonded with soy protein phantom for medical physics applications
title_sort dosimetry evaluation based on radiation interaction probability of rhizophora spp. bonded with soy protein phantom for medical physics applications
publisher Faculty of Medicine Universiti Kebangsaan Malaysia
publishDate 2023
url http://irep.iium.edu.my/109337/6/109337_Dosimetry%20evaluation%20based%20on%20radiation%20interaction%20probability%20of%20Rhizophora.pdf
http://irep.iium.edu.my/109337/
https://www.medicineandhealthukm.com/toc/18/7%20%28suppl%29
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score 13.214268