Vol. 10, 2025

Radon and Thoron

THE RADON EYE MONITOR: A REVIEW OF BENEFITS AND PROBLEMS

Peter Bossew

Pages: 1-5

DOI: 10.37392/RapProc.2025.01

The RadonEye is an active radon gas monitor that has become increasingly popular for some years. Among consumer grade active radon monitors it is the most sensitive one. It is sold for a fair price and it is easy to operate via a Smartphone app through Bluetooth connection. This makes it useful for individual radon monitoring and for research in the framework of Citizen Science, for example in the context identifying radon priority areas, recording radon time series or measuring radon exhalation. If limitations are considered, it can be used in scientific research. In this paper its benefits and problems are reviewed and examples of its usage given.
  1. P. Bossew, E. Benà, S. Chambers, M. Janik, “Analysis of outdoor and indoor radon concentration time series recorded with RadonEye monitors,”Atmosphere, vol. 15, no. 12, 1468, Dec. 2024.
    DOI: 10.3390/atmos15121468
  2. P. Bossew, “Performance of the RadonEye Monitor,” Atmosphere, vol. 16, no. 5, 525, May 2025.
    DOI: 10.3390/atmos16050525
  3. P. Bossew, “The RadonEye monitor - Benefits and problems,” presented at Int. Conf. Radiat. Appl. (RAP 2025), Crete, Greece, May 2025.
    Retrieved from: https://www.rap-conference.org/25/index.php?page=presentations
    Retrieved on: Jun. 22, 2025
  4. P. Bossew, M. Janik, “Radon time series” in Book of Abstr. 17th Int. workshop on the Geological Aspects of Radon Risk Mapping (GARRM 2025), Prague, Czech Republic, 2025.
  5. FTLAB Corp., Ansan, South Korea, 2001.
    Retrieved from: http://radonftlab.com/
    Retrieved on: Dec. 1, 2024
  6. P. Warkentin, E. Curry, O. Michael, B. Bjorndal, “A comparison of consumer-grade electronic radon monitors,” J. Radiol. Prot., vol. 40, no. 4, pp. 1258 – 1272, Dec. 2020.
    DOI: 10.1088/1361-6498/ab96d6
  7. K. Mitev et al., “Recent work with electronic radon detectors for continuous Radon-222 monitoring,” JERA, vol. 3, 8844, Dec. 2022.
    DOI: 10.35815/radon.v3.8844
  8. J. P. Sá, P. T. B. S. Branco, M. C. M. Alvim-Ferraz, F. G. Martins, S. I. V. Sousa, “Radon in Indoor Air: Towards Continuous Monitoring,” Sustainability, vol. 14, no. 3, 1529, Feb. 2022.
    DOI: 10.3390/su14031529
  9. T. Turtiainen, K. Mitev, R. Dehqanzada, O. Holmgren, S. Georgiev, “Testing of thoron cross-interference of continuous radon measuring instruments,” JERA, vol. 3, 7694, Mar. 2022.
    DOI: 10.35815/radon.v3.7694
  10. I. Dimitrova et al., “Study of the performance and time response of the RadonEye Plus2 continuous radon monitor,” Measurement, vol. 207, 112409, Feb. 2023.
    DOI: 10.1016/j.measurement.2022.112409
  11. A. Bahadori, B. Hanson, “Evaluation of consumer digital radon measurement devices: a comparative analysis,” J. Radiol. Prot., vol. 44, no. 2, 021514, Jun. 2024.
    DOI: 10.1088/1361-6498/ad4bf1
  12. T. R. Beck, E. Foerster, M. Biel, S. Feige, “Measurement Performance of Electronic Radon Monitors,” Atmosphere, vol. 15, no. 10, 1180, Oct. 2024.
    DOI: 10.3390/atmos15101180
  13. D. Rábago et al., “Investigation of the Performance of Various Low-Cost Radon Monitors under Variable Environmental Conditions,” Sensors, vol. 24, no. 6, 1836, Mar. 2024.
    DOI: 10.3390/s24061836
  14. J. F. Rey, N. Meisser, D. Licina, J. Goyette Pernot, “Performance evaluation of radon active sensors and passive dosimeters at low and high radon concentrations,” Build. Environ., vol. 250, 111154, Feb. 2024.
    DOI: 10.1016/j.buildenv.2023.111154
  15. J. F. Rey, N. Meisser, D. Licina, J. Goyette Pernot, “Evaluating the impact of indoor aerosols on the performance of real-time radon sensors,” Front. Built Environ. vol. 10, 1407499, May 2024.
    DOI: 10.3389/fbuil.2024.1407499
  16. S. D. Chambers et al., “Portable two-filter dual-flow-loop 222Rn detector: stand-alone monitor and calibration transfer device,” ADGEO, vol. 57, pp. 63 – 80, May 2022.
    DOI: 10.5194/adgeo-57-63-2022
  17. P. Bossew, J. Vaupotič, Approximate secondary calibration of RadonEye monitors. In preparation.
  18. M. Baskaran, Radon: A Tracer for Geological, Geophysical and Geochemical Studies, 1st ed., Cham, Switzerland: Springer Cham, 2016.
    DOI: 10.1007/978-3-319-21329-3
  19. D. E. Tchorz-Trzeciakiewicz, M. Rysiukiewicz, “Ambient gamma dose rate as an indicator of geogenic radon potential,” Sci. Total. Environ., vol. 755, part 1, 142771, Feb. 2021.
    DOI: 10.1016/j.scitotenv.2020.142771

Biotechnology

STUDY OF CHARACTERISTICS OF PRIMULA VULGARIS USING RAMAN SPECTROSCOPY

Evi Llaka, Arjana Ylli, Ramadan Firanj, Eugena Dedushaj

Pages: 6-10

DOI: 10.37392/RapProc.2025.02

Primrose, or Primula vulgaris, is a perennial herb that has long been prized for its therapeutic qualities. The entire plant is used for its expectorant, anti-inflammatory, analgesic, antispasmodic, and healing-promoting properties. P. vulgaris is effective in treating rheumatic disorders, gout, insomnia, anxiety, respiratory tract infections, and bronchitis. This study examines the ecological variation of Primula vulgaris from two locations: Dajti Mountain, which is 1023 meters above sea level, and the Tirana Hills, 217 meters above sea level. These locations provide different environmental conditions, making it possible to investigate how these ecological variations might affect the traits of plants. Leaf dimensions (length and width), chlorophyll content were measured, and statistical analysis were performed using Mann-Whitney U test. The findings showed that there was a statistically significant variation in leaf size, with Dajti Mountain plants having shorter leaves. For this study, Raman spectroscopy measurements were performed using a B&W Tek i-Raman Ex Raman spectrometer. We have encountered the presence of Rutin and Tangerine essential oil, from the characteristic peaks present in the Raman spectra. These findings provide insights into how altitude and light exposure shape the morphological, physiological, and chemical traits of Primula vulgaris, revealing that plants in sunnier, low-altitude habitats develop broader leaves and higher concentrations of bioactive compounds, while those at higher elevations exhibit greater chlorophyll content and enhanced photosynthetic efficiency.
  1. S. Talreja, D. S. Tiwari, “A complete overview on Primula vulgaris,” Int. J. Life Sci. Pharma Res., vol. 13, no. 6, pp. 277 – 286, Nov. 2023.
    DOI: 10.22376/ijlpr.2023.13.6.P277-P286
  2. H. Jacquemyn, P. Endels, R. Brys, M. Hermy, S. R. J. Woodell, “Biological flora of the British Isles: Primula vulgaris Huds. ( P. acaulis (L.) Hill),” J. Ecol., vol. 97, no. 4, pp. 812 – 833, Jul. 2009.
    DOI: 10.1111/j.1365-2745.2009.01513.x
  3. P. S. Colombo et al., “Phytochemistry of European Primula species,” Phytochemistry, vol. 143, pp. 132 – 144, Nov. 2017.
    DOI: 10.1016/j.phytochem.2017.07.005
  4. M. T. Özkan et al., “Phenolic characterisation and antioxidant activity of Primula vulgaris and its antigenotoxic effect on fibroblast cells,” Jundishapur J. Nat. Pharm. Prod., vol. 12, no. 1, e40073, Nov. 2016.
    DOI: 10.5812/jjnpp.40073
  5. L. Li, J. Ye, H. Li, Q. Shi, “Characterization of metabolites and transcripts involved in flower pigmentation in Primula vulgaris,” Front. Plant Sci., vol. 11, 572517, Nov. 2020.
    DOI: 10.3389/fpls.2020.572517
    PMCid: PMC7714730
  6. A. Majid et al., “In vitro approaches of Primula vulgaris leaves and roots extraction against human pathogenic bacterial strains,” World Appl. Sci. J. , vol. 30, no. 5, pp. 575 – 580, Feb. 2014.
    DOI: 10.5829/idosi.wasj.2014.30.05.82264
  7. I. Kurt-Celep et al., “From small-scale studies to an encompassing view: Inhibiting inflammation and clinically relevant enzymes with various extracts of Primula vulgaris using in vitro and in silico techniques,” Food Front., vol. 6, no. 1, pp. 329 – 359, Jan. 2025.
    DOI: 10.1002/fft2.473
  8. S. Demir, I. Turan, R. Aliyazicioglu, S. O. Yaman, Y. Aliyazicioglu, “ Primula vulgaris extract induces cell cycle arrest and apoptosis in human cervix cancer cells,” J. Pharm. Anal., vol. 8, no. 5, pp. 307 – 311, Oct. 2018.
    DOI: 10.1016/j.jpha.2018.05.003
    PMid: 30345144
    PMCid: PMC6190528
  9. O. Oluwole, W. B. Fernando, J. Lumanlan, O. Ademuyiwa, V. Jayasena, “Role of phenolic acid, tannins, stilbenes, lignans and flavonoids in human health – a review,” Int. J. Food Sci. Technol ., vol. 57, no. 10, pp. 6326 – 6335, Oct. 2022.
    DOI: 10.1111/ijfs.15936
  10. M. Park, A. Somborn, D. Schlehuber, V. Keuter, G. Deerberg, “Raman spectroscopy in crop quality assessment: focusing on sensing secondary metabolites: a review,” Hortic. Res.,vol. 10, no. 5, Apr. 2023.
    DOI: 10.1093/hr/uhad074
    PMid: 37249949
    PMCid: PMC10208899
  11. M. Krysa, M. Szymanska-Chargot, A. Zdunek, “FT-IR and FT-Raman fingerprints of flavonoids – A review,” Food Chem., vol. 393, 133430, Nov. 2022.
    DOI: 10.1016/j.foodchem.2022.133430
    PMid: 35696953
  12. A. Noroozisharaf, H. Samizadeh Lahiji, A. Hatamzadeh, D. Bakhshi, “Phytochemical attributes of endemic endangered primrose (Primula heterochroma Stapf.) accessions grown in Iran,” Physiol. Mol. Biol. Plants , vol. 21, no. 4, pp. 573 – 581, Oct. 2015
    DOI: 10.1007/s12298-015-0328-9
    PMid: 26600683
    PMCid: PMC4646863
  13. I. Stefanis, P. Chatzopoulou, N. Krigas, A. Karioti, “Exploring the Chemical Content of Primula veris L. subsp. veris Wild-Growing Populations along a Climate Gradient: An HPLC-PDA-MS Quality Assessment of Flowers, Leaves and Roots for Sustainable Exploitation,” Horticulturae , vol. 9, no. 10, 1120, Oct. 2023.
    DOI: 10.3390/horticulturae9101120
  14. T. Teslova et al., “Raman and Surface Enhanced Raman Spectra of Flavone and Several Hydroxy- Derivatives,” J. Raman Spectrosc., vol. 38, no. 7, pp. 802 – 818, Jul. 2007.
    DOI: 10.1002/jrs.1695
  15. C. A. Dehelean et al., “Rutin bioconjugates as potential nutraceutical prodrugs: An in vitro and in ovo toxicological screening,” Front. Pharmacol., vol. 13, 1000608, Sep. 2022.
    DOI: 10.3389/fphar.2022.1000608
    PMid: 36210849
    PMCid: PMC9538480
  16. H. Peng, H. Y. Hou, X. B. Chen, “DFT calculation and Raman spectroscopy studies of α-linolenic acid,” Quim. Nova, vol. 44, no. 8, pp. 929 – 935, Apr. 2021.
    DOI: 10.21577/0100-4042.20170749
  17. A. Espina, S. Sanchez-Cortes, Z. Jurašeková, “Vibrational Study (Raman, SERS, and IR) of Plant Gallnut Polyphenols Related to the Fabrication of Iron Gall Inks,” Molecules, vol. 27, no. 1, 279, Jan. 2022.
    DOI: 10.3390/molecules27010279
    PMid: 35011511
    PMCid: PMC8746386
  18. Y. Fan, Sh. Li, D. P. Xu, “Raman spectra of oleic acid and linoleic acid,” Guang Pu Xue Yu Guang Pu Fen Xi, vol. 33, no. 12, pp. 3240 – 3243, Dec. 2013.
    DOI: 10.3964/j.issn.1000-0593(2013)12-3240-04
    PMid: 24611378
  19. P. J. Larkin, Infrared and Raman Spectroscopy: Principles and Spectral Interpretation , 2 nd ed., Amsterdam, Netherlands: Elsevier, 2017.
    DOI: 10.1016/C2010-0-68479-3
  20. G. Socrates, Infrared and Raman Characteristic Group Frequencies, 3rd ed., Chichester, UK: J. Wiley and Sons, 2001.
  21. K. Nakamoto, Infrared and Raman Spectra of Inorganic and Coordination Compounds , 6th ed., Hoboken (NJ), USA: J. Wiley and Sons, 2009.
  22. M. Caser, C. Lovisolo, V. Scariot, “The influence of water stress on growth, ecophysiology and ornamental quality of potted Primula vulgaris ‘Heidy’ plants: New insights to increase water use efficiency in plant production,” Plant Growth Regul.,vol. 83, no. 3, pp. 361 – 373, Dec. 2017.
    DOI: 10.1007/s10725-017-0301-4
  23. S. Gunawardana, C. Gunasekara, N. M. S. Sirimuthu, “Raman Spectroscopy in Phytochemical Analysis,” Sri Lankan J. Appl. Sci., vol. 1, no. 1, pp. 1 – 10, Aug. 2022.
    Retrieved from: https://sljoas.uwu.ac.lk/index.php/sljoas/article/view/24
    Retrieved on: Jul. 28, 2025

Radon and Thoron

INDOOR RADON SURVEY IN TIRANA CITY, ALBANIA

Blerim Rrakaqi, Gerti Xhixha, Kozeta Tushe, Merita Xhixha (Kaçeli), Njomza Elezaj, Ylli Kaçiu, Nazim Gashi

Pages: 11-15

DOI: 10.37392/RapProc.2025.03

Indoor radon concentration is investigated in the urban area of Tirana city, the capital of Albania. CR-39 Solid State Nuclear Track Detectors (SSNTDs) are used to survey 147 dwellings and 78 workplaces during 3-month measurements. In dwellings, the arithmetic mean and geometric mean value of radon concentration are found to be 97 and 71 Bq/m3, while in workplaces 131 and 98 Bq/m3, respectively. Radon concentration on the ground floor in dwellings is higher than that of other floors, while for workplaces no significant difference is found among floors. Radon concentrations in dwellings and workplaces are found to be higher than the reference level of 300 Bq/m3 for approximately 6% and 9% of cases, respectively. The results are spatially distributed using a grid of 1×1 km2 realizing the indoor radon map showing the number of measurements and the arithmetic mean values. This information is used to assess the radiation health risk due to residential exposure to radon indoors.
  1. Sources, Effects and Risks of Ionizing Radiation, UNSCEAR 2019 Report to the General Assembly with Scientific Annexes, UNSCEAR, New York (NY), USA, 2020.
    Retrieved from: https://www.unscear.org/unscear/uploads/documents/publications/UNSCEAR_2019_Annex-A-CORR.pdf
    Retrieved on: Aug. 20, 2025
  2. A Citizen’s guide to radon: the guide to protecting yourself and your family from radon , EPA402/K-12/002, US Environmental Protection Agency, Washington D.C., USA, 2002.
    Retrieved from: https://www.epa.gov/sites/default/files/2016-12/documents/2016_a_citizens_guide_to_radon.pdf
    Retrieved on: Aug. 20, 2025
  3. Radon, NIEHS, Research Triangle Park (NC), USA, 2025.
    Retrieved from: https://www.niehs.nih.gov/health/topics/agents/radon
    Retrieved on: Aug. 20, 2025
  4. Frequently asked questions, University of Georgia, Athens (GA), USA.
    Retrieved from: https://radon.uga.edu/information/frequently-asked-questions
    Retrieved on: Aug. 24, 2025
  5. Radon, VDH, Richmond (VA), USA.
    Retrieved from: https://www.vdh.virginia.gov/environmental-public-health-tracking/radon
    Retrieved on: Aug. 25, 2025
  6. Radon: What you need to know, Health Canada, Ottawa, Canada.
    Retrieved from: https://www.canada.ca/en/health-canada/services/environmental-workplace-health/reports-publications/radon-what-you-need-to-know.html
    Retrieved on: Aug. 25, 2025
  7. S. Knapp, J. Athey, A. Nash Jr, Mitigating radon levels at home (Information Circular 90), Alaska Department of Natural Resources, DGGS, Anchorage (AK), USA, 2020.
    Retrieved from: https://dggs.alaska.gov/webpubs/dggs/ic/text/ic090.pdf
    Retrieved on: Aug. 25, 2025
  8. WHO handbook on indoor radon: a public health perspective, WHO, Geneva, Switzerland, 2009.
    Retrieved from: https://www.who.int/publications/i/item/9789241547673
    Retrieved on: Aug. 29, 2025
  9. K. Bode et al., “Indoor radon concentration related to geological areas at different workplaces of Albania,” in Proc. 6th Int. Conf. Radiat. Appl. Var. Fields of Res. (RAD 2018), Ohrid, Macedonia, 2018, pp. 111 – 114.
    DOI: 10.21175/RadProc.2018.24
  10. K. Tushe, E. Bylyku, D. Prifti, B. Daci, “Study on Indoor Radon Measurements with Passive Method in Schools and Workplaces in Tirana City,” presented at the 9th Int. Symp. Naturally Occurring Radioactive Material (NORMIX 2019) , Denver (CO), USA, Sep. 2019.
    Retrieved from: https://nucleus.iaea.org/sites/orpnet/resources/Shared%20Documents/Tushe-Indoor-Radon-in-Tirana-City.pdf
    Retrieved on: Sep. 05, 2025
  11. K. B. Tushe et al., “First step toward the geographical distribution of indoor radon in dwellings in Albania,” Radiat. Prot. Dosimetry, vol. 172, no. 4, pp. 488 – 495, Dec. 2016.
    DOI: 10.1093/rpd/ncv494
    PMid: 26656073
  12. G. Xhixha et al., “Lessons Learned from the 2022 Campaign of the Measurement of Indoor Radon Concentration in Dwellings in Albania,” in Proc. Int. Conf. Radiat. Appl. (RAP 2024) , Granada, Spain, 2024, pp. 53 – 56.
    DOI: 10.37392/RapProc.2024.12
  13. Qeveria e Shqipërisë. (Nëntor 25, 2015). Vendim nr. 957 për miratimin e rregullores “Për nivelet e lejuara të përqendrimit të radonit në ndërtesa dhe në ujë, nivelet drejtuese të radionuklideve në materialet e ndërtimit, si dhe nivelet e lejuara të radionuklideve në produktet ushqimore dhe kozmetike” .
    (Government of Albania. (Nov. 25, 2015). Decision no. 957 on the approval of the regulation “On the permitted levels of radon concentration in buildings and water, the guiding levels of radionuclides in building materials, as well as the permitted levels of radionuclides in food and cosmetic products” .)
    Retrieved from: https://www.ishp.gov.al/wp-content/uploads/2019/04/Rr.Nr_.957-date-25.11.2015-Per-nivelet-udhezuese-te-perqendrimit-te-radonit.pdf
    Retrieved on: Sep. 15, 2025
  14. The Council of European Union. (Dec. 5, 2013). Council Directive 2013/59/Euratom (consolidated in 2022) laying down basic safety standards for protection against the dangers arising from exposure to ionising radiation, and repealing Directives 89/618/Euratom, 90/641/Euratom, 96/29/Euratom, 97/43/Euratom and 2003/122/Euratom.
    Retrieved from: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2014:013:0001:0073:EN:PDF
    Retrieved on: Sep. 20, 2025
  15. Z. Daraktchieva, J. C. H. Miles, N. McColl, “Radon, the lognormal distribution and deviation from it,” J. Radiol. Prot., vol. 34, no. 1, pp. 183 – 190, Mar. 2014.
    DOI: 10.1088/0952-4746/34/1/183
    PMid: 24441867
  16. N. Elezaj, B. Zorko, G. Xhixha, V. Bytyqi, “Radon activity concentrations and radiological exposure assessment in drinking water in Prizren Region–Kosovo,” Int. J. Environ. Anal. Chem., vol. 105, no. 8, pp. 1764 – 1778, 2025.
    DOI: 10.1080/03067319.2023.2298719
  17. N. Elezaj et al., “Temporal variation of radon in soil and water in Kosovo,” Radiochim. Acta, vol. 113, no. 6, pp. 471 – 483, May 2025.
    DOI: 10.1515/ract-2024-0350
  18. The European Commission. (Feb. 2, 2024). Commission Recommendation (Eu) 2024/440 on the use of dose coefficients for the estimation of the effective dose and equivalent dose for the purposes of Council Directive 2013/59/Euratom.
    Retrieved from: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202400440
    Retrieved on: Sep. 25, 2025

Radiation Measurements

OPTIMAL GEOMETRIC DESIGN OF THE DIAPHRAGM OF A FREE-AIR IONIZATION CHAMBER FOR LOW-ENERGY X-RAYS

Jessica Gschweng, Stefan Pojtinger

Pages: 16-20

DOI: 10.37392/RapProc.2025.04

For reliable and comparable measurements of the dose quantity air kerma, dosimeter measurements must be traceable to a primary standard. Primary standard laboratories use free-air ionization chambers (FACs) for the primary realization of the unit of the air kerma free-in-air. Correction factors must be applied to convert measured charge to air kerma. One such correction factor is the correction factor for diaphragm effects (kdia). This study investigated the impact of the geometry of the diaphragm on kdia, as established FACs from different metrology institutes use different diaphragm geometries. The aim was to find the optimal diaphragm thickness and aperture shape to minimize the required diaphragm correction for the new PTB primary standard. Monte Carlo simulations were performed to determine kdia for various diaphragm geometries of a low-energy x-ray FAC. The influence of the diaphragm thickness and the aperture shape were investigated. The results showed that the diaphragm needs to be sufficiently thick to prevent transmission yet as thin as possible to reduce scattering at the inner surface of the aperture. The optimal diaphragm thickness, which depends on the air path length of the FAC, ranges from 0.8 mm to 1 mm. Using a diaphragm geometry with a more complex geometry than a simple 1 mm thick diaphragm with a cylindrical aperture is not advantageous.
  1. Fundamental Quantities and Units for Ionizing Radiation (Revised), Rep. 85, ICRU, Bethesda (MD), USA, 2011.
  2. H. A. B. Simons, “The Calculation of Gamma Ray Penetration of the Walls of Cylindrical and Conical Collimating Holes,” Phys. Med. Biol., vol. 6, no. 4, pp. 561 – 576, Apr. 1962.
    DOI: 10.1088/0031-9155/6/4/305
    PMid: 13913179
  3. M. Boutillon, W. H. Henry, P. J. Lamperti, “Comparison of Exposure Standards in the 10–50 kV X-Ray Region,” Metrologia, vol. 5, no. 1, pp. 1 – 10, Jan. 1969.
    DOI: 10.1088/0026-1394/5/1/002
  4. A. C. McEwan, “Corrections for scattered photons in free-air ionisation chambers,” Phys. Med. Biol., vol. 27, no. 3, pp. 375 – 386, Mar. 1982.
    DOI: 10.1088/0031-9155/27/3/004
    PMid: 7071149
  5. D. T. Burns, L. Büermann, “Free-air ionization chambers,” Metrologia, vol. 46, no. 2, pp. S9 – S23, Apr. 2009.
    DOI: 10.1088/0026-1394/46/2/S02
  6. D. T. Burns, C. Kessler, “Diaphragm correction factors for free-air chamber standards for air kerma in x-rays,” Phys. Med. Biol., vol. 54, no. 9, pp. 2737 – 2745, May 2009.
    DOI: 10.1088/0031-9155/54/9/009
    PMid: 19351980
  7. T. Kurosawa, N. Takata, N. Saito, “Effect of the diaphragm of free-air ionisation chamber for X-ray air-kerma measurements,” Radiat. Prot. Dosim., vol. 146, no. 1 – 3, pp. 195 – 197, Jul. 2011.
    DOI: 10.1093/rpd/ncr146
    PMid: 21498414
  8. J. Gschweng, S. Pojtinger, “Free-air ionization chambers for the measurement of air kerma in low-energy x-rays – optimum air path length and the limitations of averaging monoenergetic correction factors,” Metrologia, vol. 62, no. 2, 025013, Apr. 2025.
    DOI: 10.1088/1681-7575/adc39d
  9. I. Kawrakow, D. W. O. Rogers, The EGSnrc Code System: Monte Carlo Simulation of Electron and Photon Transport, Rep. PIRS-701, NRCC, Ottawa, Canada, 2000.
    Retrieved from: https://nrc-cnrc.github.io/EGSnrc/doc/pirs701-egsnrc.pdf
    Retrieved on: Apr. 04, 2025
  10. E. Mainegra-Hing, N. Reynaert, I. Kawrakow, “Novel approach for the Monte Carlo calculation of free-air chamber correction factors,” Med. Phys., vol. 35, no. 8, pp. 3650 – 3660, Aug. 2008.
    DOI: 10.1118/1.2955551
    PMid: 18777925
  11. I. Sechopoulos et al., “RECORDS: improved Reporting of montE CarlO RaDiation transport Studies: Report of the AAPM Research Committee Task Group 268,” Med. Phys., vol. 45, no. 1, pp. e1 – e5, Jan. 2018.
    DOI: 10.1002/mp.12702
    PMid: 29178605
  12. I. Kawrakow, M. Fippel, “Investigation of variance reduction techniques for Monte Carlo photon dose calculation using XVMC,” Phys. Med. Biol., vol. 45, no. 8, pp. 2163 – 2183, Aug. 2000.
    DOI: 10.1088/0031-9155/45/8/308
    PMid: 10958187
  13. L. Büermann, The PTB free-air ionization chambers, Physikalisch-Technische Bundesanstalt, Braunschweig, Germany, 2021.
    DOI: 10.7795/120.20220324
  14. C. Kessler, D. T. Burns, P. Roger, Establishment of reference radiation qualities for mammography, Rep. 2010/01, BIPM, Paris, France, 2010.
    Retrieved from: https://www.bipm.org/documents/20126/27085544/bipm+publication-ID-2090.pdf/246a5298-8b17-cbb1-bd96-38da3bc7da2a?version=1.3&download=false
    Retrieved on: Apr. 04, 2025

Medical Physics

EXAMINING LESION VISIBILITY OF THICK COMPRESSED BREASTS UNDER DIFFERENT IONIZING RADIATION EXPOSURE CONDITIONS BY USING A MAMMOGRAPHIC MATHEMATICAL PHANTOM

Spyridoula Katsanevaki, Nektarios Kalyvas, Christos Michail, Ioannis Valais, George Fountos, Ioannis Kandarakis

Pages: 21-27

DOI: 10.37392/RapProc.2025.05

Mammography is an X-ray imaging application used for breast diagnosis. Its high importance is denoted by the routinely mammographic examinations suggested for women above a certain age. In the era of digital mammography, various dedicated detector designs have been considered for possible use in a mammographic system. Despite, the detector characteristics the image of thick or dense breasts is a challenge since the amount of radiation transmitted through the breast and incident at the detector surface is a function of the ionizing radiation energy and exposure. In addition, possible breast lesions may be visible or not depending upon their size and composition. In general, a large size and high atomic number lesion has higher visibility than a small size and low atomic number one. A simple mathematical breast phantom was designed which was comprised from breast tissue as a background material and areas corresponding to a) blood for low atomic number material and b) Ca for a high atomic number material like microcalcifications. The phantom dimensions were 1000×1000 pixels, while the lesions were constructed as squares ranging from 2x2 pixels up to 50×50 pixels and lines. The breast thicknesses considered were 5.2 cm and 6 cm for the phantom. For the Ca the thicknesses ranged from 0.0008 cm up to 0.01 cm and for the blood lesions from 0.08 cm up to 0.5 cm. Simulations of the irradiated with 22 keV and 28 keV X-ray photons for different photon fluences, which after transmission from the phantom they have been assumed to impinge a Dexela mammographic detector, have been performed. It was found that at 22 keV and 6 cm breast thickness the 0.003 cm, 10×10 Ca lesion could be observed as well as the 20×20 blood lesion of 0.2 cm thickness. The increase of photon fluence improved the derived image due to the decrease of the image noise levels. The 5.2 cm thickness irradiation conditions produced less noisy images due to the higher number of photons impinging on the detector surface.
  1. W. Ren, M. Chen, Y. Qiao, F. Zhao. “Global guidelines for breast cancer screening: A systematic review,” Breast, vol. 64, pp. 85 – 99, Aug. 2022.
    DOI: 10.1016/j.breast.2022.04.003
    PMid: 35636342
    PMCid: PMC9142711
  2. H. Aichinger, J. Dierker, S. Joite-Barfuß, M. Säbel, “Principles of X-Ray Imaging,” in Radiation Exposure and Image Quality in X-ray Diagnostic Radiology: Physical Principles and Clinical Applications, 2nd ed., Berlin Heidelberg, Germany: Springer-Verlag, 2012, ch. 1, pp. 3 – 7.
    DOI: 10.1007/978-3-642-11241-6_1
  3. K. Bliznakova “The advent of anthropomorphic three-dimensional breast phantoms for X-ray imaging,” Phys. Med., vol. 79, pp. 145 – 161, Nov. 2020.
    DOI: 10.1016/j.ejmp.2020.11.025
    PMid: 33321469
  4. N. Kalyvas et al., “A Novel Method to Model Image Creation Based on Mammographic Sensors Performance Parameters: A Theoretical Study,” Sensors, vol. 23, no. 4, 2335, Feb. 2023.
    DOI: 10.3390/s23042335
    PMid: 36850937
    PMCid: PMC9968010
  5. A. C. Konstantinidis, M. B. Szafraniec, R. D. Speller, A. Olivo “The Dexela 2923 CMOS X-ray detector: A flat panel detector based on CMOS active pixel sensors for medical imaging applications,” Nucl. Instrum. Methods in Phys. Res. Sec. A, vol. 689, pp. 12 – 21, Oct. 2012.
    DOI: 10.1016/j.nima.2012.06.024
  6. MATLAB version 9.12, MathWorks, Natick (MA), USA, 2022.
    Retrieved from: https://www.mathworks.com
    Retrieved on: Jun. 30, 2025
  7. R. Nowotny, XMuDat: Photon attenuation data on PC version 1.0.1, IAEA Nuclear Data Section, Vienna, Austria, 1998.
    Retrieved from: https://www-nds.iaea.org/publications/iaea-nds/iaea-nds-0195.htm
    Retrieved on: Jun. 30, 2025
  8. S. Katsanevaki, “Mathematical creation of a phantom to study the effect of exposure on mammography,” Diploma Thesis, University of West Attica, Athens, Greece, 2024.
    DOI: 10.26265/polynoe-5930
  9. W. Rasband, ImageJ version 1.47h, National Institutes of Health, Bethesda (MD), USA, 2012.
    Retrieved from: https://imagej.net/ij/
    Retrieved on: Jun. 30, 2025
  10. F. Stossi, P. K. Singh, “Basic Image Analysis and Manipulation in ImageJ/Fiji,” Curr. Protoc., vol. 3, no. 7, e849, Jul. 2023.
    DOI: 10.1002/cpz1.849
    PMid: 37498127

Radiation Protection

EVALUATION OF TLD-200 SENSITIVITY AND COMPARISON WITH TLD-100 AND STATISTICAL ANALYSIS

Ervis Gega, Elida Bylyku, Elda Spahiu, Klaudia Kaçori

Pages: 28-34

DOI: 10.37392/RapProc.2025.06

This study aims to evaluate the dosimetric performance of TLD-200 thermoluminescent dosimeters and compare them with TLD-100, evaluating their suitability for radiation monitoring applications. The research relies on key dosimetric features, including linearity, temperature sensitivity, fading, and reproducibility. All experiments were conducted under controlled environmental conditions, adhering to the ambient temperature and relative humidity specifications provided by the manufacturer. Our work began with the calibration and validation of the Harshaw 6600 TLD reader to ensure accurate dose measurements. A total of 200 dosimeters were used to obtain statistically significant results. Linearity was evaluated for various dose levels provided by the internal Sr-90 beta irradiator, while fading effects were investigated to determine signal attenuation over time. Additionally, temperature sensitivity tests were performed to evaluate the impact of thermal variations on dosimetric response. Advanced statistical techniques were employed to assess measurement repeatability, reproducibility homogeneity etc. The results demonstrate that both TLD-100 and TLD-200 display reliable performance, with notable variations in sensitivity and stability under different dose ranges and environmental conditions. These outcomes confirm the suitability of the TLD-200 dosimeters for accurate dose measurement for research study and other monitoring measurements, but we can’t use those TLDs in the long term as bimonthly individual monitoring.
  1. IAEA, “Occupational Radiation Protection,” pp. 138 - 201, 2014, Proceedings of an International Conference Vienna, Austria, 1–5 December 2014.
    Retrieved from: https://www-pub.iaea.org/MTCD/Publications/PDF/STIPUB2004web.pdf
    Retrieved on: Dec. 12, 2024
  2. Intercomparison for individual monitoring of external exposure from photon radiation, IAEA-TECDOC-1126, IAEA, Vienna, Austria, 1999.
    Retrieved from: https://www.iaea.org/publications/5848/intercomparison-for-individual-monitoring-of-external-exposure-from-photon-radiation
    Retrieved on: Dec. 12, 2024
  3. The 2007 Recommendations of the International Commission on Radiological Protection, ICRP Publication 103, ICRP, Ottawa, Canada, 2007.
    Retrieved from: https://www.icrp.org/publication.asp?id=ICRP%20Publication%20103
    Retrieved on: Dec. 12, 2024
  4. Thermoluminescence dosimetry systems for personal and environmental monitoring, IEC 61066, Jun. 26, 2006.
  5. Radiation protection instrumentation–Determination of uncertainty in measurement, IEC TR 62461, IEC, Geneva, Switzerland, 2015.
  6. Radiological protection — Criteria and performance limits for the periodic evaluation of dosimetry services for external radiation, ISO 14146, Jul. 2024.
  7. General requirements for the competence of testing and calibration laboratories, ISO 17025, Nov. 2017.
  8. Nuclear energy - Radiation protection Individual Thermoluminecient dosemeter for extremities and eyes, ISO 12794, Mar. 2000.
  9. T. Y. Kong, H. G. Kim, “Application of element correction and personal dose equivalent response to extremity dosimeters used at Korean nuclear power plants,” J. Nucl. Sci. Technol., vol. 49, no. 3, pp. 352 – 359, 2012.
    DOI: 10.1080/00223131.2012.660013
  10. M. Sadeghi, S. Sina, R. Faghihi , “Investigation of LiF, Mg and Ti (TLD-100) Reproducibility,” J. Biomed. Phys. Eng., vol. 5, no. 4, pp. 217 – 222, Dec. 2015.
    PMid: 26688801
    PMCid: PMC4681467
  11. R. Ch. Abul-Hail, M. K. Abdallah, “Characterization of TL-D200 and TL-D100 for Thermoluminescent Radiation Dosimetry,” IJETR, vol. 8, no. 5, pp. 85 - 87, May 2018.
    Retrieved from: https://www.scribd.com/document/696238451/Characterization-of-TL-D200-and-TL-D100-for-Radiation-Dosimetry
    Retrieved on: Dec. 12, 2024
  12. S. F. Alanazi, H. Alarifi, A. Alshehri, M. Almurayshid, “Response evaluation of two commercial thermoluminescence dosimeters (TLDs) against different parameters,” BJR|Open,vol. 5, no. 1, 20220035, Nov. 2023.
    DOI: 10.1259/bjro.20220035
  13. J. S. Stanković-Petrović et al., “Review of the thermoluminescent dosimetry method for the environmental dose monitoring,” Nucl. Technol. Radiat. Prot., vol. 36, no. 2, pp. 150 - 162, 2021.
    DOI: 10.2298/NTRP2102150S
  14. N. Kržanović et al., “Characterization of Thermoluminescent Dosimetry Systems According to the IEC 62387:2020 Standard,” Health Phys., vol. 125, no. 3, pp. 186 - 197, Sep. 2023.
    DOI: 10.1097/hp.0000000000001711
  15. D. S. Kim et al., “Intercomparison Exercise at Harshaw 6600, DVG-02TM, and D-Shuttle Dosimeters for the Individual Monitoring of Ionizing Radiation,” J. Radiat. Prot. Res., vol. 44, no. 2, pp. 79 - 88, Jun. 2019.
    DOI: 10.14407/jrpr.2019.44.2.79
  16. S. I. Bhuiyan et al., “Quality Assurance and Quality Control in TLD Measurement,” in Proc. The Second All African IRPA Regional Radiation Protection Congress (IRPA-2007), Ismailia, Egypt, 2007, pp. 103 - 112.
    Retrieved from: https://www.osti.gov/etdeweb/servlets/purl/21073073
    Retrieved on: Dec. 12, 2024
  17. K. J. Velbeck, L. Z. Luo, K. L. Streetz, “Type testing the Model 6600 plus automatic TLD reader,” vol. 120, no. 1 - 4, pp. 303 - 306, Sep. 2006.
    DOI: 10.1093/rpd/ncj012
  18. J. F. Benavente, J. M. Gómez-Ros, A. M. Romero, “Thermoluminescence glow curve deconvolution for discrete and continuous trap distributions,” Appl. Radiat. Isot., vol. 153, 108843, Nov. 2019.
    DOI: 10.1016/j.apradiso.2019.108843
  19. E. Gega, E. Bylyku, “Statistical Evaluation of Elements Correction Coefficients to Improve the Performance of TLDs in Radiation Protection Dosimeters,” EMSJ, vol. 9, no. 3, pp. 1 - 12, Jun. 2025.
    DOI: 10.59573/emsj.9(3).2025.01
  20. M. Giglioli, V. D. Gonçalves, M. A. R. Fernandes, H. Yoriyaz, “Calculation of Correction Factors for Dosimeters Thermoluminescent of Lithium Fluoride (LiF-100) for Use in 6MV Photon Beams,” in Proc. 18th Int. Conf. Medical Physics (ICMP2011), Porto Alegre, Brazil, 2011, p. 402.
    Retrieved from: https://inis.iaea.org/records/y33wq-nsy20
    Retrieved on: Dec. 12, 2024
  21. Recommendations of the International Commission on Radiological Protection, vol. 21, ICRP Publication 60, ICRP, Ottawa, Canada, 1990.
    Retrieved from: https://www.icrp.org/publication.asp?id=icrp%20publication%2060
    Retrieved on: Dec. 12, 2024
  22. O. Kouakou, G. A. Monnehan, G. B. D. L. Huberson, “Evaluation of Dosimetric Performance and Global Uncertainty of the Harshaw 6600 Plus System Used to Staff Monitoring in Côte d’Ivoire,” WJNST, vol. 9, no. 4, pp. 159 - 173, Oct. 2019.
    DOI: 10.4236/wjnst.2019.94012