2015
DOI: 10.1097/hp.0000000000000243
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Development and Validation of a GEANT4 Radiation Transport Code for CT Dosimetry

Abstract: We have created a radiation transport code using the GEANT4 Monte Carlo toolkit to simulate pediatric patients undergoing CT examinations. The focus of this paper is to validate our simulation with real-world physical dosimetry measurements using two independent techniques. Exposure measurements were made with a standard 100-mm CT pencil ionization chamber, and absorbed doses were also measured using optically stimulated luminescent (OSL) dosimeters. Measurements were made in air, a standard 16-cm acrylic head… Show more

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Cited by 5 publications
(11 citation statements)
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“…We performed simulations of helical CT examinations using a Geant4-based Monte Carlo particle radiation transport code previously described [34] and briefly summarized here. Specific properties of the Philips Brilliance 64 scanner including the photon-energy spectrum, inherent and bowtie filtration, and geometry were incorporated into the simulation.…”
Section: Methodsmentioning
confidence: 99%
“…We performed simulations of helical CT examinations using a Geant4-based Monte Carlo particle radiation transport code previously described [34] and briefly summarized here. Specific properties of the Philips Brilliance 64 scanner including the photon-energy spectrum, inherent and bowtie filtration, and geometry were incorporated into the simulation.…”
Section: Methodsmentioning
confidence: 99%
“…A subset of these is shown in Figure 1 for the 5-year-old phantom series. A program was developed to convert the phantom NURBS surfaces into voxelized phantoms for input into our GEANT4 simulation [13, 27]. Voxel size is a user-defined variable in this program, which was defined as 1.5×1.5×3.0 mm for our phantoms as an appropriate compromise between spatial resolution and computation time and resources.…”
Section: Methodsmentioning
confidence: 99%
“…A GEANT4-based Monte Carlo particle radiation transport code previously described in the literature [13] was used to perform simulations of helical CT examinations. CT scanner properties such as photon-energy spectrum, inherent and bow tie filtration, and geometry were modeled explicitly.…”
Section: Methodsmentioning
confidence: 99%
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