IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v365y2020ics0096300319307040.html
   My bibliography  Save this article

X-ray attenuation features of some tellurite glasses evaluated at medical diagnostic energies

Author

Listed:
  • Al-Hadeethi, Y.
  • Sayyed, M.I.

Abstract

We investigated the X-ray interaction parameters with quaternary tellurite glass system in the structure of TeO2ZnONb2O5Gd2O3. The X-ray attenuation parameters have been evaluated at six energies widely used in diagnostic radiology namely; 13.8, 22.1, 33.2, 59.9, 88 and 99 keV. The mass attenuation coefficient (MAC) has been calculated and the effect of the glass composition on this parameter was discussed. The results demonstrated that the increment of Gd2O3 in the glasses gave rise to an increase in the MAC at 13.8 keV, 59.9 keV, 88 keV and 99 keV. While, at 22.1 keV and 33.2 keV, NbGd0 has the highest MAC, which means that MAC decreases with the addition of Gd2O3.The MAC values at 13.8 keV are higher for the present glasses than at other energies (in order of 48.89 to 52.84 cm2/g at this energy). The maximum effective atomic number was found to the sample with 2.5 mol% of Gd2O3, whereas the minimum Zeff values were found for NbGd0.The X-ray attenuation parameters of the selected glasses were compared with several types of glass systems, and commercial glasses. The results show that the present samples are appropriate potential replacement for the traditional shielding materials at general diagnostic facilities.

Suggested Citation

  • Al-Hadeethi, Y. & Sayyed, M.I., 2020. "X-ray attenuation features of some tellurite glasses evaluated at medical diagnostic energies," Applied Mathematics and Computation, Elsevier, vol. 365(C).
    • Handle: RePEc:eee:apmaco:v:365:y:2020:i:c:s0096300319307040
    DOI: 10.1016/j.amc.2019.124712
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300319307040
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2019.124712?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rodríguez-Cuadrado, Javier & San Martín, Jesús, 2022. "Shielding material distributions and associated fractals," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:365:y:2020:i:c:s0096300319307040. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.