Development and Numerical Verification of an Archer Model Radiation Shielding Application for Medical Physics Education
DOI:
https://doi.org/10.25077/jif.19.1.11-28.2027Keywords:
radiation shielding, archer model, broad-beam transmission, numerical verification, medical physics educationAbstract
Accurate radiation shielding calculations are essential for radiation protection and medical physics education. This study developed and numerically verified an interactive desktop application for broad-beam photon shielding calculations using the Archer transmission model. The application integrates published Monte Carlo-derived fitting parameters for Tc-99m, I-131, F-18, and Lu-177 in lead, concrete, and steel, enabling forward and inverse shielding calculations with buildup effects and selectable weekly design goals of 0.02 mSv/week. Numerical verification was performed by comparing application outputs with independent calculations and published reference data. For the Tc-99m lead shielding example (0.637 mm), the application reproduced the published transmission result, while inverse–forward round-trip calculations achieved a composite target within a relative residual of approximately . Additional comparisons were conducted using published fractional-value layers for nine radionuclide–material combinations. The results demonstrate numerical consistency in the implemented calculations and provide an interactive framework for exploring photon attenuation and shielding thickness in medical physics education. However, Ga-68 calculations remain based on unvalidated F-18 surrogate parameters, and multilayer shielding estimates have not been independently validated against experimental or Monte Carlo reference data. Therefore, the application is intended for educational use rather than clinical shielding design.
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Andani, T. S., Oktamuliani, S., Saputro, B., Fendinugroho, Firmansyah, O. A., & Nuraeni, N. (2026). Monte Carlo simulation of depth-dose distribution in medical polymers irradiated by 10 MeV electron beam using PUFFIn. Jurnal Ilmu Fisika, 18(2), 210–218. https://doi.org/10.25077/jif.18.2.210-218.2026
Archer, B., Thornby, J., & Bushong, S. (1983). Diagnostic X-ray Shielding Design Based on an Empirical Model of Photon Attenuation. Health Physics, 44(5), 507–517.
Arruzza, E., Chau, M., & Kilgour, A. (2023). Problem-based learning in medical radiation science education: A scoping review. Radiography, 29(3), 564–572. https://doi.org/10.1016/j.radi.2023.03.008
AZoM. (2012). AISI A514 Grade A Alloy Steel (UNS K11856). https://www.azom.com/article.aspx?ArticleID=6736. Accessed on October 28, 2026.
Basu, P., Sarangapani, R., & Venkatraman, B. (2019). Gamma ray buildup factors for conventional shielding materials and buildup factors computed for tungsten with a thickness beyond 40 mean free paths. Applied Radiation and Isotopes, 154, 108864. https://doi.org/https://doi.org/10.1016/j.apradiso.2019.108864
Bektasoglu, M., & Bayraktar, A. S. (2026). GRASP-X: A user-friendly web-based code to compute various gamma shielding parameters. Radiation Physics and Chemistry, 243, 113646. https://doi.org/10.1016/j.radphyschem.2026.113646
Chau, M., & Arruzza, E. S. (2023). Maximising undergraduate medical radiation students’ learning experiences using cloud-based computed tomography (CT) software. Simulation & Gaming, 54(4). https://doi.org/10.1177/10468781231178491
Chau, M., Arruzza, E., & Johnson, N. (2022). Simulation-based education for medical radiation students: A scoping review. Journal of Medical Radiation Sciences, 69(3), 367–381. https://doi.org/https://doi.org/10.1002/jmrs.572
Chen, J., Li, R., Chen, Y., Cao, C., & Liang, J. (2025). POKER: A new point kernel 3D radiation field characterization code with stratified and deep shielding capabilities. Nuclear Engineering and Technology, 57(6), 103410. https://doi.org/10.1016/j.net.2024.103410
Cherry, S. R., Sorenson, J. A., & Phelps, M. E. (2012). Physics in Nuclear Medicine. In Physics in Nuclear Medicine. https://doi.org/10.2967/jnumed.113.123125
Das, A., & Singh, T. (2022). Development of a new Monte Carlo based transport code to calculate photon exposure build-up factors in various shielding arrangements. Radiation Physics and Chemistry, 194, 110028. https://doi.org/https://doi.org/10.1016/j.radphyschem.2022.110028
Dorostkar, M. M., & Rasouli, F. S. (2025). Artificial neural network for optimizing gamma radiation shielding. Journal of Biomedical Physics and Engineering, 15(6), 567–574. https://doi.org/10.31661/jbpe.v0i0.2312-1694
Duan, X., Zhao, J., Song, S., Zhou, N., Fan, J., Tian, B., & Du, Y. (2025). Layered structural engineering of Bi2O3/PP and WO3/PP composites for γ-ray shielding in high energy range: anisotropic attenuation mechanisms via Monte Carlo simulation and experiments. Journal of Materials Research and Technology, 36, 10324–10336. https://doi.org/https://doi.org/10.1016/j.jmrt.2025.05.223
Ferrari A,Sala PR,Fasso A, R. J. (2005). a multi-particle transport code. FLUKA, CERN.
Ganou, C., Ganos, A., Papatheodorou, S., Metaxas, V., Dimitroukas, C., & Panayiotakis, G. (2023). Radiotherapy Infrastructure Shielding Calculations: software development for shielding calculations in a linear accelerator radiotherapy room. Radiation Protection Dosimetry, 199(13), 1357–1366. https://doi.org/10.1093/rpd/ncad189
Gonzales, J. M. G. F., Romallosa-Dean, K. M., Ramo, M. E. S. K. V., & Parami, V. K. (2025). A comparative study on the shielding calculation methods for an optimal shielding design of isolation rooms in a nuclear medicine facility in the Philippines providing I-131 thyroid ablation therapy. Health Physics, 129(6), 501–513. https://doi.org/10.1097/HP.0000000000001988
Hansda, M. K., & Mammen, S. (2021). 3DGShield: A new 3D gamma ray shielding code for arbitrary source and shield geometry based on point kernel technique. Annals of Nuclear Energy, 159, 108352. https://doi.org/https://doi.org/10.1016/j.anucene.2021.108352
Hill, M. A., Staut, N., Thompson, J. M., & Verhaegen, F. (2024). Dosimetric validation of SmART-RAD Monte Carlo modelling for x-ray cabinet radiobiology irradiators. Physics in Medicine & Biology, 69(9), 095014. https://doi.org/10.1088/1361-6560/ad3720
Hubbell, J. H., & Seltzer, S. M. (1995). Tables of X-ray mass attenuation coefficients and mass energy-absorption coefficients 1 keV to 20 MeV for elements Z= 1 to 92 and 48 additional substances of dosimetric interest (No. PB-95-220539/XAB; NISTIR-5632). National Inst. of Standards and Technology-PL, Gaithersburg, MD (United States). Ionizing Radiation Div.
Ihsan, Z. M., Anggraini, M., Sabana, A., Aminudin, M., Urip, T., Jundi, A. F., & Firmansyah, O. A. (2026). Radiation protection intercomparison activity for N-60 and N-80 X-ray beam qualities: Results from SNSU-BSN Indonesia. Jurnal Ilmu Fisika, 18(2), 219–229. https://doi.org/10.25077/jif.18.2.219-229.2026
Levart, D., Kalogianni, E., Corcoran, B., Mulholland, N., & Vivian, G. (2019). Radiation precautions for inpatient and outpatient 177Lu-DOTATATE peptide receptor radionuclide therapy of neuroendocrine tumours. EJNMMI Physics, 6(1), 1–12. https://doi.org/10.1186/s40658-019-0243-1
Li, X., Marschall, T. A., Yang, K., & Liu, B. (2024). Radiation shielding transmission data for modern digital radiography. Medical Physics, 51(12), 8768–8775. https://doi.org/10.1002/mp.17449
Mann, K. S., & Mann, S. S. (2021). Py-MLBUF: Development of an online-platform for gamma-ray shielding calculations and investigations. Annals of Nuclear Energy, 150, 107845. https://doi.org/https://doi.org/10.1016/j.anucene.2020.107845
Manohara, S. R., Hanagodimath, S. M., & Gerward, L. (2011). Energy absorption buildup factors of human organs and tissues at energies and penetration depths relevant for radiotherapy and diagnostics. Journal of Applied Clinical Medical Physics, 12(4), 3557. https://doi.org/10.1120/jacmp.v12i4.3557
Marshall, S. K., Kwandee, P., Songphum, N., & Chuaymuang, J. (2025). Comprehensive Simulation-Based Evaluation of Gamma Radiation Shielding Performance of Bismuth Oxide- and Tungsten Oxide-Reinforced Polymer Composites for Nuclear Medicine Occupational Safety. Polymers, 17(11), 1–30. https://doi.org/10.3390/polym17111491
Oumano, M., Wendt, R., Botti, J., Busse, N., Hintenlang, D., Leon, S., Little, K., Martin, M., Massoth, R., Matthews, K., Prasad, R., White, S., & Clements, J. (2025a). Shielding resources for four common radiopharmaceuticals utilized for imaging and therapy: Tc-99m, F-18, I-131, and Lu-177. Journal of Applied Clinical Medical Physics, 26(5), 1–15. https://doi.org/10.1002/acm2.70084
Paixão, L., Ferreira Fonseca, T. C., & Soares, A. D. (2025). Comprehensive assessment of broad beam transmission factors for nuclear medicine shielding. Physica Medica: European Journal of Medical Physics, 130. https://doi.org/10.1016/j.ejmp.2025.104918
Prasada, D. N. Y., & Azzi, A. (2025). Calculation of TVL and HVL for shielding requirements in radiotherapy facilities using Monte Carlo simulation. Buletin Fisika, 26(2). https://doi.org/10.24843/BF.2025.v26.i02.p02
Protection, I. C. on R. (2007). The 2007 Recommendations of the International Commission on Radiological Protection: ICRP Publication 103. Annals of the ICRP, 37(2–4), 9–34. https://doi.org/10.1016/j.icrp.2007.10.003
Riveira-Martin, M., Struelens, L., Muñoz Iglesias, J., Schoonjans, W., Tabuenca, O., Nogueiras, J. M., Salvador Gómez, F. J., & López Medina, A. (2023). Radiation exposure assessment of nuclear medicine staff administering [177Lu]Lu-DOTA-TATE with active and passive dosimetry. EJNMMI Physics, 10(1), 1–25. https://doi.org/10.1186/s40658-023-00592-1
Ryczkowski, A., Kruszyna-Mochalska, M., Pawałowski, B., Bielęda, G., Jodda, A., Adrich, P., & Piotrowski, T. (2025). Shielding disc backscatter calculations in intraoperative radiotherapy using a Monte Carlo simulation based on the method of energy spectra reconstruction. Scientific Reports, 15, 12431. https://doi.org/10.1038/s41598-025-97522-1
Şakar, E., Özpolat, Ö. F., Alım, B., Sayyed, M. I., & Kurudirek, M. (2020). Phy-X / PSD: Development of a user friendly online software for calculation of parameters relevant to radiation shielding and dosimetry. Radiation Physics and Chemistry, 166, 108496. https://doi.org/https://doi.org/10.1016/j.radphyschem.2019.108496
Saleh, H. H., Sharaf, J. M., & Abady, R. S. (2021). Gamma-ray buildup factor and radiation absorbed dose enhancement at tissue-bone interfaces. Applied Radiation and Isotopes, 167, 109464. https://doi.org/https://doi.org/10.1016/j.apradiso.2020.109464
Salehzahi, F., & Tse, J. (2020). Shielding commissioning factors in nuclear medicine facilities. Journal of Radiological Protection, 40(1), 165. https://doi.org/10.1088/1361-6498/ab504e
Shimizu, A., Onda, T., & Sakamoto, Y. (2004). Calculation of gamma-ray buildup factors up to depths of 100 mfp by the method of invariant embedding, (III). Journal of Nuclear Science and Technology, 41(4), 413–424. https://doi.org/10.1080/18811248.2004.9715503
Sosa Vera, C., & Andres, P. (2022). Design and development of a web-based application for structural shielding calculation of medical X-ray imaging facilities. Applied Computing and Informatics, 18(3–4), 235–244. https://doi.org/10.1016/j.aci.2019.12.002
Sun, P., Xing, L., Yin, L., Chang, Y., Wu, S., Zhong, B., Shen, H., & Ying, Y. (2026). LSPBF: A new open-source large-scale photon buildup factor database. Radiation Physics and Chemistry, 245, 113827. https://doi.org/https://doi.org/10.1016/j.radphyschem.2026.113827
Sun, P., Xing, L., Yin, L., Huang, J., Zhong, B., Shen, H., & Ying, Y. (2025). Calculation of gamma-ray buildup factors up to 100 MFP by the Monte Carlo method. Radiation Physics and Chemistry, 233, 112696. https://doi.org/10.1016/j.radphyschem.2025.112696
Tarabin, M., & Hisseine, O. A. (2026). PARSO—Particle-packing and radiation shielding optimizer: A user-friendly software tool for fostering the discovery of high-performance radiation-shielding materials. Radiation Physics and Chemistry, 114367. https://doi.org/10.1016/j.radphyschem.2026.114367
Wu, J., Wu, Z., Hu, A., Hao, Y., Pu, Y., Zhang, H., Qiu, R., & Li, J. (2025). Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield. EPJ Nuclear Sciences and Technologies, 11. https://doi.org/10.1051/epjn/2024032
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