2020
DOI: 10.1134/s1547477120060084
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Monte Carlo Simulation of the Computed Tomography Dose Index (CTDI) Using GATE

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Cited by 3 publications
(4 citation statements)
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“…At each measurement point, attenuation and equivalent filter thickness were then calculated. The equivalent source model was validated by comparing the simulated and measured CTDI vol of both 32 and 16 cm CTDI phantoms [5,6]. The simulated and measured value differences range from 0.81% to 1.85%.…”
Section: Source Model Simulationmentioning
confidence: 99%
See 1 more Smart Citation
“…At each measurement point, attenuation and equivalent filter thickness were then calculated. The equivalent source model was validated by comparing the simulated and measured CTDI vol of both 32 and 16 cm CTDI phantoms [5,6]. The simulated and measured value differences range from 0.81% to 1.85%.…”
Section: Source Model Simulationmentioning
confidence: 99%
“…Because these values refer only to the CT scanner dose output of an examination, dose length product is introduced to involve the scan length [4]. The basic CTDI involves the use of a pencil ionization chamber and a standard cylindrical acrylic (polymethyl methacrylate (PMMA)) phantom [5,6]. This method typically measures the dose index in standard phantoms (16 cm in diameter) to represent an adult head and a child's body, or 32 cm in diameter to represent an adult body [7].…”
Section: Introductionmentioning
confidence: 99%
“…The energy spectrum of the source was produced using the SRS78 application and then inserted into GATE versus General Particle Source (GPS). To validate the simulated CT geometry, a CTDI 100 data set was simulated for body and head CTDI phantoms with diameters of 32 and 16 cm, respectively [7].…”
Section: Ct Scannermentioning
confidence: 99%
“…There are a few challenges to achieve that goal: (1) Physical measurements are limited by the dosimetry equipment accuracy and again limited availability of axial scan modes for certain protocols; (2) No analytical approach is available for helical acquisitions due to the complex geometry and almost infinitely long scatter tail [10][11][12] ; (3) Monte Carlo simulations will take prohibitively long to achieve high resolution results with sufficient accuracy for all possible helical scan models. [13][14][15][16][17][18] In this study, we propose a hybrid approach by combining Monte Carlo simulation with analytical simulation to overcome these challenges, with the goal to provide a comprehensive and intuitive picture of 3D dose distributions for both axial and helical CT acquisitions, based upon which a quantitative comparison between the two dose metrics can be performed.…”
Section: Introductionmentioning
confidence: 99%