This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Mohd Yunos, M. A. S., Hussain, S. A., Hamdan, M. Y., & Jaafar, A. (2016). Industrial radiotracer technology for process optimizations in chemical industries – A review. Pertanika Journal of Scholarly Research Reviews, 2(3), 20–46.Mohd YunosM. A. S.HussainS. A.HamdanM. Y.JaafarA.2016Industrial radiotracer technology for process optimizations in chemical industries – A review232046Search in Google Scholar
Charlton, J. S. (1986). Radioisotopes in industry. In J. S. Charlton (Ed.), Radioisotope techniques for problem-solving in industrial process plants (pp. 1–8). Dordrecht: Springer. https://doi.org/10.1007/978-94-009-4073-4_1.CharltonJ. S.1986Radioisotopes in industryInCharltonJ. S.(Ed.),18DordrechtSpringerhttps://doi.org/10.1007/978-94-009-4073-4_1.10.1007/978-94-009-4073-4_1Search in Google Scholar
International Atomic Energy Agency. (2004). Radiotracer applications in industry – a guidebook. Vienna: IAEA. (Technical Report Series no. 423). Available from https://www-pub.iaea.org/MTCD/Publications/PDF/TRS423_web.pdf.International Atomic Energy Agency2004ViennaIAEA(Technical Report Series no. 423). Available from https://www-pub.iaea.org/MTCD/Publications/PDF/TRS423_web.pdf.Search in Google Scholar
Jin, J. -H., & Thereska, J. (2004). Industrial applications of radiotracer and sealed source technology promoted by IAEA. In: Tracer 3. International Conference on Tracers and Tracing Methods, 22–24 June 2004, Ciechocinek, Poland.JinJ. -H.ThereskaJ.2004In:Tracer 3. International Conference on Tracers and Tracing Methods22–24 June 2004Ciechocinek, PolandSearch in Google Scholar
Farooq, M., Khan, I. H., Ghiyas-ud-Din, , Gul, S., Palige, J., & Chmielewski, A. G. (2003). Radiotracer investigations of municipal sewage treatment stations. Nukleonika, 48(1), 57–61.FarooqM.KhanI. H.Ghiyas-ud-DinGulS.PaligeJ.ChmielewskiA. G.2003Radiotracer investigations of municipal sewage treatment stations4815761Search in Google Scholar
Smolinski, T., Rogowski, M., Brykala, M., Pyszynska, M., & Chmielewski, A. G. (2018). Studies on hydrometallurgical processes using nuclear techniques to be applied in copper industry. I. Application of 64Cu radiotracer for investigation of copper ore leaching. Nukleonika, 63(4), 123–129. https://doi.org/10.2478/nuka-2018-0015.SmolinskiT.RogowskiM.BrykalaM.PyszynskaM.ChmielewskiA. G.2018Studies on hydrometallurgical processes using nuclear techniques to be applied in copper industry. I. Application of 64Cu radiotracer for investigation of copper ore leaching634123129https://doi.org/10.2478/nuka-2018-0015.10.2478/nuka-2018-0015Search in Google Scholar
International Atomic Energy Agency. (2008). Industrial process gamma tomography. Vienna: IAEA. (IAEATECDOC-1589). Available from https://www-pub.iaea.org/MTCD/Publications/PDF/TE_1589_web.pdf.International Atomic Energy Agency2008ViennaIAEA(IAEATECDOC-1589). Available from https://www-pub.iaea.org/MTCD/Publications/PDF/TE_1589_web.pdf.Search in Google Scholar
Wang, M. (Ed.). (2015). Industrial tomography: Systems and applications. Elsevier. https://doi.org/10.1016/C2013-0-16466-5.WangM.(Ed.).2015Elsevierhttps://doi.org/10.1016/C2013-0-16466-5.10.1016/C2013-0-16466-5Search in Google Scholar
Calvo, W. A. P., Hamada, M. M., Sprenger, F. E., Vasquez, P. A. S., Rela, P. R., Martins, J. F. T., de Matos Pereira, J. C. S., Omi, N. M., & de Mesquita, C. H. (2009). Gamma-ray computed tomography SCANNERS for applications in multiphase system COLUMNs. Nukleonika, 54(2), 129–133.CalvoW. A. P.HamadaM. M.SprengerF. E.VasquezP. A. S.RelaP. R.MartinsJ. F. T.de Matos PereiraJ. C. S.OmiN. M.de MesquitaC. H.2009Gamma-ray computed tomography SCANNERS for applications in multiphase system COLUMNs542129133Search in Google Scholar
Chuong, H. D., Hung, N. Q., My Le, N. T., Nguyen, V. H., & Thanh, T. T. (2019). Validation of gamma scanning method for optimizing NaI(Tl) detector model in Monte Carlo simulation. Appl. Radiat. Isot., 149, 1–8. https://doi.org/10.1016/j.apradiso.2019.04.009.ChuongH. D.HungN. Q.My LeN. T.NguyenV. H.ThanhT. T.2019Validation of gamma scanning method for optimizing NaI(Tl) detector model in Monte Carlo simulation14918https://doi.org/10.1016/j.apradiso.2019.04.009.10.1016/j.apradiso.2019.04.00931003039Search in Google Scholar
Shahabinejad, H., & Feghhi, S. A. H. (2015). Design, optimization and performance of source and detector collimators for gamma-ray scanning of a lab-scale distillation column. Appl. Radiat. Isot., 99, 25–34. https://doi.org/10.1016/j.apradiso.2015.02.008.ShahabinejadH.FeghhiS. A. H.2015Design, optimization and performance of source and detector collimators for gamma-ray scanning of a lab-scale distillation column992534https://doi.org/10.1016/j.apradiso.2015.02.008.10.1016/j.apradiso.2015.02.00825699665Search in Google Scholar
Zain, R. M., Yahya, R., & Mahmood, A. A. (2009). Simulation of gamma scan study on column test rig at evaluation and verification Nuclear Malaysia facility. In Nuclear Malaysia Technical Convention, 6–8 October 2009, Bangi, Malaysia.ZainR. M.YahyaR.MahmoodA. A.2009InNuclear Malaysia Technical Convention6–8 October 2009Bangi, MalaysiaSearch in Google Scholar
Haraguchi, M. I., Calvo, W. A. P., & Kim, H. Y. (2018). Tomographic 2-D gamma scanning for industrial process troubleshooting. Flow Meas. Instrum., 62, 235–245. https://doi.org/10.1016/j.flowmeasinst.2017.09.004.HaraguchiM. I.CalvoW. A. P.KimH. Y.2018Tomographic 2-D gamma scanning for industrial process troubleshooting62235245https://doi.org/10.1016/j.flowmeasinst.2017.09.004.10.1016/j.flowmeasinst.2017.09.004Search in Google Scholar
Zhang, J., Tuo, X., Wang, Q., Leng, Y., & Shi, R. (2018). Monte Carlo simulation and collimator optimization for tomographic gamma scanning. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 – Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NSSMIC.2017.8532877.ZhangJ.TuoX.WangQ.LengY.ShiR.2018In2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 – Conference ProceedingsInstitute of Electrical and Electronics Engineers Inc.https://doi.org/10.1109/NSSMIC.2017.8532877.10.1109/NSSMIC.2017.8532877Search in Google Scholar
Kim, J., Jung, S., Moon, J., Kwon, T., & Cho, G. (2011). Monte Carlo simulation for the design of industrial gamma-ray transmission tomography. Progress in Nuclear Science and Technology, 1, 263–266. Retrieved from http://www.aesj.net/document/pnst001/263.pdf.KimJ.JungS.MoonJ.KwonT.ChoG.2011Monte Carlo simulation for the design of industrial gamma-ray transmission tomography1263266Retrieved from http://www.aesj.net/document/pnst001/263.pdf.10.15669/pnst.1.263Search in Google Scholar
Kasban, H., Zahran, O., Arafa, H., El-Kordy, M., Elaraby, S. M. S., & Abd El-Samie, F. E. (2010). Laboratory experiments and modeling for industrial radiotracer applications. Appl. Radiat. Isot., 68(6), 1049–1056. https://doi.org/10.1016/j.apradiso.2010.01.044.KasbanH.ZahranO.ArafaH.El-KordyM.ElarabyS. M. S.Abd El-SamieF. E.2010Laboratory experiments and modeling for industrial radiotracer applications68610491056https://doi.org/10.1016/j.apradiso.2010.01.044.10.1016/j.apradiso.2010.01.04420171110Search in Google Scholar
Sheoran, M., Chandra, A., Bhunia, H., Bajpai, P., & Pant, H. J. (2018). Residence time distribution studies using radiotracers in chemical industry-A review. Chem. Eng. Commun., 205(6), 739–758. https://doi.org/10.1080/00986445.2017.1410478.SheoranM.ChandraA.BhuniaH.BajpaiP.PantH. J.2018Residence time distribution studies using radiotracers in chemical industry-A review2056739758https://doi.org/10.1080/00986445.2017.1410478.10.1080/00986445.2017.1410478Search in Google Scholar
Park, J. G., Kim, C. H., Han, M. C., Jung, S. H., Kim, J. B., & Moon, J. (2012). Optimization of detection geometry for industrial SPECT by Monte Carlo simulations. J. Instrum., 8, C04006(5pp.). https://doi.org/10.1088/1748-0221/8/04/C04006.ParkJ. G.KimC. H.HanM. C.JungS. H.KimJ. B.MoonJ.2012Optimization of detection geometry for industrial SPECT by Monte Carlo simulations8C04006(5pp.)https://doi.org/10.1088/1748-0221/8/04/C04006.10.1088/1748-0221/8/04/C04006Search in Google Scholar
International OpenGATE collaboration. (2020). GATE. Retrieved from http://www.opengatecollaboration.org/International OpenGATE collaboration2020Retrieved from http://www.opengatecollaboration.org/Search in Google Scholar
Banoqitah, E., Taha, E., Elmoujarkach, E., Alsebaie, S., Subahi, A., & Alsharif, S. (2018). A Monte Carlo study of arms effect in myocardial perfusion of normal and abnormal cases utilizing STL heart shape. Results Phys., 10, 323–331. https://doi.org/10.1016/j.rinp.2018.06.028.BanoqitahE.TahaE.ElmoujarkachE.AlsebaieS.SubahiA.AlsharifS.2018A Monte Carlo study of arms effect in myocardial perfusion of normal and abnormal cases utilizing STL heart shape10323331https://doi.org/10.1016/j.rinp.2018.06.028.10.1016/j.rinp.2018.06.028Search in Google Scholar
Lee, S., Gregor, J., & Osborne, D. (2013). Development and validation of a complete GATE model of the Siemens Inveon trimodal imaging platform. Mol. Imaging, 12(7), 434–445. https://doi.org/10.2310/7290.2013.00058.LeeS.GregorJ.OsborneD.2013Development and validation of a complete GATE model of the Siemens Inveon trimodal imaging platform127434445https://doi.org/10.2310/7290.2013.00058.10.2310/7290.2013.00058Search in Google Scholar
Bouzid, D., Bert, J., Dupre, P. F., Benhalouche, S., Pradier, O., Boussion, N., & Visvikis, D. (2015). Monte-Carlo dosimetry for intraoperative radiotherapy using a low energy x-ray source. Acta Oncol., 54(10), 1788–1795. https://doi.org/10.3109/0284186X.2015.1016623.BouzidD.BertJ.DupreP. F.BenhaloucheS.PradierO.BoussionN.VisvikisD.2015Monte-Carlo dosimetry for intraoperative radiotherapy using a low energy x-ray source541017881795https://doi.org/10.3109/0284186X.2015.1016623.10.3109/0284186X.2015.101662325800856Search in Google Scholar
Spirou, S. V., Makris, D., & Loudos, G. (2015). Does the setup of Monte Carlo simulations influence the calculated properties and effect of gold nanoparticles in radiation therapy? Phys. Medica, 31(7), 817–821. https://doi.org/10.1016/j.ejmp.2015.05.008.SpirouS. V.MakrisD.LoudosG.2015Does the setup of Monte Carlo simulations influence the calculated properties and effect of gold nanoparticles in radiation therapy?317817821https://doi.org/10.1016/j.ejmp.2015.05.008.10.1016/j.ejmp.2015.05.00826051326Search in Google Scholar
Taha, E., Djouider, F., & Banoqitah, E. (2018). Monte Carlo simulations for dose enhancement in cancer treatment using bismuth oxide nanoparticles implanted in brain soft tissue. Australas. Phys. Eng. Sci. Med., 1–8. https://doi.org/10.1007/s13246-018-0633-z.TahaE.DjouiderF.BanoqitahE.2018Monte Carlo simulations for dose enhancement in cancer treatment using bismuth oxide nanoparticles implanted in brain soft tissue18https://doi.org/10.1007/s13246-018-0633-z.10.1007/s13246-018-0633-z29582243Search in Google Scholar
Jan, S., Santin, G., Strul, D., Staelens, S., Assié, K., Autret, D., Avner, S., Barbier, R., Bardies, M., Bloomfield, P. M., Brasse, D., Breton, V., Bruyndonckx, P., Buvat, I., Chatziioannoull, A. F., Choil, Y., Chung, Y. H., Comtat, D., Donnarieix, D., Ferrer, L., Gllick, S. J., Groissellle, C. J., Guez, D., Honore, P. -F., Kerhoas-Cavata, S., Kirov, A. S., Kohlil, V., Koole, M., Krieguer, M., van der Laan, D. L., Lamare, E., Largeron, G., Lartizien, C., Lazaro, D., Maas, M. C., Maigne, L., Mayet, F., Melot, F., Merheb, C., Pennacchio, E., Perez, J., Pietrzyk, U., Rannoull, F. R., Rey, M., Schaart, D. R., Schmidtlein, C. R., Simon, L., Song, T. Y., Vieira, J. -M., Visvikis, D., Van de Walle, R., Wieers, E., & Morel, C. (2004). GATE: a simulation toolkit for PET and SPECT. Phys. Med. Biol., 49(19), 4543–4561. https://doi.org/10.1088/0031-9155/49/19/007.JanS.SantinG.StrulD.StaelensS.AssiéK.AutretD.AvnerS.BarbierR.BardiesM.BloomfieldP. M.BrasseD.BretonV.BruyndonckxP.BuvatI.ChatziioannoullA. F.ChoilY.ChungY. H.ComtatD.DonnarieixD.FerrerL.GllickS. J.GroissellleC. J.GuezD.HonoreP. -F.Kerhoas-CavataS.KirovA. S.KohlilV.KooleM.KrieguerM.van der LaanD. L.LamareE.LargeronG.LartizienC.LazaroD.MaasM. C.MaigneL.MayetF.MelotF.MerhebC.PennacchioE.PerezJ.PietrzykU.RannoullF. R.ReyM.SchaartD. R.SchmidtleinC. R.SimonL.SongT. Y.VieiraJ. -M.VisvikisD.Van de WalleR.WieersE.MorelC.2004GATE: a simulation toolkit for PET and SPECT491945434561https://doi.org/10.1088/0031-9155/49/19/007.10.1088/0031-9155/49/19/007326738315552416Search in Google Scholar
Mohammed, M. S. H. (2007). Investigation of process equipment in petrochemical industry using radioisotope technology. Sudan Academy of Sciences.MohammedM. S. H.2007Sudan Academy of SciencesSearch in Google Scholar
International Atomic Energy Agency. (2002). Radioisotope applications for troubleshooting and optimizing industrial processes. Vienna: IAEA.International Atomic Energy Agency2002ViennaIAEASearch in Google Scholar