Abstract
Our purpose in the current study was to model an X-ray CT scanner with the Monte Carlo (MC) method for gel dosimetry. In this study, a conventional CT scanner with one array detector was modeled with use of the MCNPX MC code. The MC calculated photon fluence in detector arrays was used for image reconstruction of a simple water phantom as well as polyacrylamide polymer gel (PAG) used for radiation therapy. Image reconstruction was performed with the filtered back-projection method with a Hann filter and the Spline interpolation method. Using MC results, we obtained the dose–response curve for images of irradiated gel at different absorbed doses. A spatial resolution of about 2 mm was found for our simulated MC model. The MC-based CT images of the PAG gel showed a reliable increase in the CT number with increasing absorbed dose for the studied gel. Also, our results showed that the current MC model of a CT scanner can be used for further studies on the parameters that influence the usability and reliability of results, such as the photon energy spectra and exposure techniques in X-ray CT gel dosimetry.
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The authors would like to thank Tabriz University of Medical Sciences (Aras branch) for its support.
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Hayati, H., Mesbahi, A. & Nazarpoor, M. Monte Carlo modeling of a conventional X-ray computed tomography scanner for gel dosimetry purposes. Radiol Phys Technol 9, 37–43 (2016). https://doi.org/10.1007/s12194-015-0331-4
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DOI: https://doi.org/10.1007/s12194-015-0331-4