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Monte Carlo Simulation of the Computed Tomography Dose Index (CTDI) Using GATE

  • RADIOBIOLOGY, ECOLOGY AND NUCLEAR MEDICINE
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Abstract

This work relates to the study and characterization of the CTDI (Computed Tomography Dose Index) for the 16 slices CT scanner. The CTDI has been simulated with the Monte Carlo code GATE for PMMA (polymethylmethacrylate) digital phantoms of various diameters (1–50 cm) at various kVp (80, 110, 130) and mAs (100, 200, 300, 400 mAs) levels. After using a High-Performance Computing (HPC) station, a good agreement was observed (less than 1.18% for head phantom and 1.85% for body phantom for all applied voltages) between simulations and experimental measurements with standard PMMA phantoms. Results of simulations demonstrated the following. Firstly, GATE is an adapted tool to estimate CTDI values and can be used to optimize CT parameters in clinical applications. Secondly, Monte Carlo simulation may be able to estimate the absorbed dose when the CTDI method has limitations (use of homogeneous standards cylindrical phantom, the dose measurement in air not in tissue).

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Authors and Affiliations

  1. Laboratory of health sciences and technologies, High Institute of Health Sciences, Hassan 1st University Settat, Settat, Morocco

    M. Mkimel, R. El Baydaoui, M. R. Mesradi, A. Halimi, M. Krim, E. Saad & A. Hilali

  2. Department of radiology public hospital, Settat, Morocco

    M. Mkimel

  3. Laboratory of radiation protection and hybrid imaging, faculty of medicine and pharmacy, Rabat, Morocco

    Z. Tahiri

  4. National Center for Energy Science and Nuclear Techniques Rabat, Rabat, Morocco

    K. Talasmat

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  1. M. Mkimel
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  2. R. El Baydaoui
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  3. M. R. Mesradi
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  4. Z. Tahiri
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  5. K. Talasmat
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  6. A. Halimi
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  8. E. Saad
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  9. A. Hilali
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Correspondence to M. Mkimel.

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Mkimel, M., El Baydaoui, R., Mesradi, M.R. et al. Monte Carlo Simulation of the Computed Tomography Dose Index (CTDI) Using GATE. Phys. Part. Nuclei Lett. 17, 900–907 (2020). https://doi.org/10.1134/S1547477120060084

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  • DOI: https://doi.org/10.1134/S1547477120060084

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