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Pakravan, Delaram, Babapour Mofrad, Farshid, Deevband, Mohammad Reza, Ghorbani, Mahdi, Pouraliakbar, Hamidreza. (1400). A Monte Carlo Platform for Characterization of X-Ray Radiation Dose in CT Imaging. سامانه مدیریت نشریات علمی, 11(3), 271-280. doi: 10.31661/jbpe.v0i0.2012-1254
Delaram Pakravan; Farshid Babapour Mofrad; Mohammad Reza Deevband; Mahdi Ghorbani; Hamidreza Pouraliakbar. "A Monte Carlo Platform for Characterization of X-Ray Radiation Dose in CT Imaging". سامانه مدیریت نشریات علمی, 11, 3, 1400, 271-280. doi: 10.31661/jbpe.v0i0.2012-1254
Pakravan, Delaram, Babapour Mofrad, Farshid, Deevband, Mohammad Reza, Ghorbani, Mahdi, Pouraliakbar, Hamidreza. (1400). 'A Monte Carlo Platform for Characterization of X-Ray Radiation Dose in CT Imaging', سامانه مدیریت نشریات علمی, 11(3), pp. 271-280. doi: 10.31661/jbpe.v0i0.2012-1254
Pakravan, Delaram, Babapour Mofrad, Farshid, Deevband, Mohammad Reza, Ghorbani, Mahdi, Pouraliakbar, Hamidreza. A Monte Carlo Platform for Characterization of X-Ray Radiation Dose in CT Imaging. سامانه مدیریت نشریات علمی, 1400; 11(3): 271-280. doi: 10.31661/jbpe.v0i0.2012-1254

A Monte Carlo Platform for Characterization of X-Ray Radiation Dose in CT Imaging

Journal of Biomedical Physics and Engineering
مقاله 2، دوره 11، شماره 3، مرداد و شهریور 2021، صفحه 271-280    اصل مقاله (1.46 M)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2012-1254
نویسندگان
Delaram Pakravan1؛ Farshid Babapour Mofrad* 2؛ Mohammad Reza Deevband3؛ Mahdi Ghorbani3؛ Hamidreza Pouraliakbar4
1PhD Candidate, Department of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2PhD, Department of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
3PhD, Department of Biomedical Engineering and Medical Physics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4PhD, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
چکیده
Background: Computed tomography (CT) is currently known as a versatile imaging tool in the clinic used for almost all types of cancers. The major issue of CT is the health risk, belonging to X-ray radiation exposure. Concerning this, Monte Carlo (MC) simulation is recognized as a key computational technique for estimating and optimizing radiation dose. CT simulation with MCNP/MCNPX MC code has an inherent problem due to the lack of a fan-beam shaped source model. This limitation increases the run time and highly decreases the number of photons passing the body or phantom. Recently, a beta version of MCNP code called MCNP-FBSM (Fan-Beam Source Model) has been developed to pave the simulation way of CT imaging procedure, removing the need of the collimator. This is a new code, which needs to be validated in all aspects.
Objective: In this work, we aimed to develop and validate an efficient computational platform based on modified MCNP-FBSM for CT dosimetry purposes.
Material and Methods: In this experimental study, a setup is carried out to measure CTDI100 in air and standard dosimetry phantoms. The accuracy of the developed MC CT simulator results has been widely benchmarked through comparison with our measured data, UK’s National Health Service’s reports (known as ImPACT), manufacturer’s data, and other published results.
Results: The minimum and maximum observed mean differences of our simulation results and other above-mentioned data were the 1.5%, and 9.79%, respectively.
Conclusion: The developed FBSM MC computational platform is a beneficial tool for CT dosimetry.
کلیدواژه‌ها
Tomography, X-Ray Computed؛ Monte Carlo Method؛ Dosimetry؛ Fan-beam CT؛ System performance
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