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Journals / Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi / 2026 / Cilt: 17 Sayı: 1

Assessment of MCNPX Monte Carlo Code for Absorbed Dose Calculations in Mammogarphy Examination

Huseyin Ozan Tekin
Asghar Mesbahi
Viswanath P. Singh
Umit Kara
Tugba Manici
Elif Ebru Altunsoy
Pages
48–55
Publication Date
2017-04-24
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Introduction: This study aimed to investigate capabities of MCNPX monte carlo code for calculations

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Introduction: This study aimed to investigate capabities of MCNPX monte carlo code for calculations
📊
Key Findings & Data:Introduction: This study aimed to investigate capabities of MCNPX monte carlo code for calculations
💡
Conclusion & Impact:Introduction: This study aimed to investigate capabities of MCNPX monte carlo code for calculations
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Mammography · Average Glandular Dose · Monte Carlo Method

Özet

Introduction: This study aimed to investigate capabities of MCNPX monte carlo code for calculations

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Cite This Article

Tekin, H. O., Mesbahi, A., Singh, V. P., Kara, U., Manici, T., Altunsoy, E. E. (2017). Assessment of MCNPX Monte Carlo Code for Absorbed Dose Calculations in Mammogarphy Examination. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, Cilt: 17 Sayı: 1, 48–55. https://ajindex.com/articles/1355091

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References (24)

  1. Sechopoulos I.,Suryanarayanan S., Vedantham S., D'Orsi C.J., Karellas A., 2008. Radiation dose to organs and tissues from mammography: Monte Carlo and phantom study. Radiology.246(2):434-43
  2. Sechopoulos I, Suryanarayanan S, Vedantham S, D'Orsi C, Karellas A., 2007. Computation of the glandular radiation dose in digital tomosynthesis of the breast. Med Phys.34(1):221-32.
  3. Bor D., Tukel S., Olgar T., Aydin E., 2008. Variations in breast doses for an automatic mammography unit. Diagn. Interv. Radiol. 14:122-126.
  4. Olgar T, Kahn T., Gosch D., 2012. Average Glandular Dose in Digital Mammography and Breast Tomosynthesis. Fortschr. Röntgenstr. 184: 911–918. DOI: 10.1055/s-0032-1312877.
  5. Dance D.R., 1990. Monte Carlo calculation of conversion factors for the estimation of mean glandular breast dose. Phys. Med. Biol., Vol. 35,No 9, 1211-1219.
  6. Ishii R.,Yoshida A., Ishii M., Fujimoto S., Henmi N., 2011. Precision of half-value layer measurement on mammography. Nihon Hoshasen Gijutsu Gakkai Zasshi.
  7. 67(12):1533-9. [7] Diffey J., Cartwright L., Crocker J., Heggie J., 2014. Direct half value layer measurements in mammography - is near enough good enough?.Combined Scientific Meeting. DOI:10.1594/ranzcr2014/R-0127
  8. Ramos M.A.P., Ferrer S., Verdu G., Padovani E., Campayo J.M., 2004. A mammographic phantom image reconstruction through Monte Carlo techniques. Nuclear Science Symposium Conference Record, IEEE, Volume: 5 DOI: 10.1109/NSSMIC.2004.1466322
  9. Aznar M. C., Medin J., Hemdal B., Thilander Klang A., Bøtter-Jensen L., Mattsson S., 2005. A MONTE CARLO STUDY OF THE ENERGY DEPENDENCE OF Al2O3:C CRYSTALS FOR REAL-TIME IN VIVO DOSIMETRY IN MAMMOGRAPHY. Radiation Protection Dosimetry. Vol. 114, Nos 1-3, pp. 444–449. doi:10.1093/rpd/nch560
  10. Koutalonis M., Delis H., Spyrou G., Costaridou L., Tzanakos G., Panayiotakis G., 2007. Contrast-to-noise ratio in magnification mammography: a Monte Carlo study. Phys. Med. Biol. 52. 3185–3199. doi:10.1088/0031-9155/52/11/017
  11. Douglas E. P., Kuruvilla V., 2000. Digital mammography image simulation using Monte Carlo. Medical Physics 27, 568. doi: 10.1118/1.598896
  12. Dance D. R., 1990. Monte Carlo calculation of conversion factors for the estimation of mean glandular breast dose,’’ Phys. Med. Biol. 35, 1211– 1219.
  13. Dance D. R., Skinner C. L., Young K. C., Beckett J. R. Kotre C. J., 2000. Additional factors for the estimation of mean glandular breast dose using the UK mammography dosimetry protocol. Phys. Med. Biol. 45,3225–3240.
  14. Wu X., Gingold E. L., Barnes G. T., and Tucker D. M., 1994. Normalized average glandular dose in molybdenum target-rhodium filter and rhodium targetrhodium filter mammography. Radiology 193, 83–89.
  15. Paixao L., Oliviera B., Viloria C., 2015. Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography. Radiol Bras. Nov/Dez;48(6):363–367. http://dx.doi.org/10.1590/0100-3984.2014.0108
  16. RSICC Computer Code Collection., 2002. MCNPX User’s manual Version 2.4.0. Monte Carlo N-Particle Transport Code System for Multiple and High Energy Applications.
  17. Tekin H.O., 2016. MCNP-X Monte Carlo Code Application for Mass Attenuation Coefficients of Concrete at Different Energies by Modeling 3 × 3 Inch NaI(Tl) Detector and Comparison with XCOM and Monte Carlo Data. Science and Technology of Nuclear Installations. Volume 2016, Article ID 6547318, 7 pages. http://dx.doi.org/10.1155/2016/6547318
  18. Akkurt I., Tekin H.O., Mesbahi A., 2015. Calculation of Detection Efficiency fort he Gamma Detector using MCNP-X. Acta Physica Polonica A, 128 (2-B): 332-334. doi:10.12693/APhysPolA.128.B-332
  19. Tekin H.O. and Kara U., 2016. Monte Carlo Simulation for Distance and Absorbed Dose Calculations in a PET-CT Facility by using MCNP-X. Journal of Communication and Computer, (13): 32-35 doi:10.17265/1548-7709/2016.01.005
  20. Tekin H.O., Manici T., Ekmekci C., 2016. Investigation of Backscattered Dose in a Computerized Tomography (CT) Facility during Abdominal CT Scan by Considering Clinical Measurements and Application of Monte Carlo Method. Journal of Health Science 4, 131-134. doi: 10.17265/2328-7136/2016.03.004
  21. Tekin H.O., Singh V.P., Manici T., 2017. Effects of micro-sized and nano-sized WO3 on mass attenuation coefficients of concrete by using MCNPX code. Applied Radiation and Isotopes. Vol 121, pp. 122-125. doi:http://dx.doi.org/10.1016/j.apradiso.2016.12.040
  22. Verdú G., Leön A., Villaescusa J.I., Salas M.D., Cuevas M.D., Bueno F., 2000. Mammographic Dosimetry Using MCNP-4B, Journal of Nuclear Science and Technology, 37:1, 875-879, doi:10.1080/00223131.2000.10875015
  23. Hammerstein G.R., Miller D.W., White D.R., Masterson M.E., Woodard H.Q, Laughlin J.S., 1979. Absorbed radiation dose in mammography. Radiology, 130,pp 485-491.
  24. Olgar T, Kahn T., Gosch D., 2012. Average Glandular Dose in Digital Mammography and Breast Tomosynthesis. Fortschr. Röntgenstr. 184: 911–918. DOI: 10.1055/s-0032-1312877.