2016
DOI: 10.1088/1748-0221/11/01/t01003
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Dosimetry in small-animal CT using Monte Carlo simulations

Abstract: Small-animal computed tomography (micro-CT) imaging devices are increasingly being used in biological research. While investigators are mainly interested in high-contrast, low-noise, and high-resolution anatomical images, relatively large radiation doses are required, and there is also growing concern over the radiological risk from preclinical experiments.This study was conducted to determine the radiation dose in a mouse model for dosimetric estimates using the GEANT4 application for tomographic emission sim… Show more

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Cited by 6 publications
(2 citation statements)
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“…Recently, a number of studies have replicated the physical geometry and material composition of mice by creating custom realistic heterogeneous and anthropomorphic mouse phantoms (Figure 2) [72,[131][132][133][134][135][136][137][138]. These phantoms are useful in better replicating the actual radiation scattering events, geometry, and tissue attenuation of actual mice for treatment dose verification.…”
Section: Heterogeneous Phantomsmentioning
confidence: 99%
“…Recently, a number of studies have replicated the physical geometry and material composition of mice by creating custom realistic heterogeneous and anthropomorphic mouse phantoms (Figure 2) [72,[131][132][133][134][135][136][137][138]. These phantoms are useful in better replicating the actual radiation scattering events, geometry, and tissue attenuation of actual mice for treatment dose verification.…”
Section: Heterogeneous Phantomsmentioning
confidence: 99%
“…The methods utilized to create the geometry of computational models in anthropomorphic phantoms have progressed from portraying structures using quadratic equations to producing voxel-based representations [15][16][17][18][19]. Similarly, the advancement in creating computational models of small animals has developed from the mathematical equation based phantom models [16,20] to subsequently advanced voxel-based models [21][22][23].…”
Section: Introductionmentioning
confidence: 99%