Monte Carlo simulations of a high-resolution X-ray CT system for industrial applications

Miceli, A.; Thierry, Raphaël; Flisch, Alexander; Sennhauser, U.; Casali, Franco; Simon, M.

doi:10.1016/j.nima.2007.09.012

Cited by 39 publications

(23 citation statements)

References 21 publications

(26 reference statements)

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“…To achieve this objective, as preliminary ingredient a mathematical model for the forward tomographic problem is needed, apt to generate radiographies as a function of attenuation coefficient distribution µ(x), being assigned the system features (source spectrum, incident beam energy, system geometry, noise description). In [61] a Monte Carlo simulation of a cone-beam CT system was developed for industrial applications, in which effects of medium-high energy rays can be predicted (> 450 keV). In fact, at varying the incident photon energy, the radiation scattered from the CT system structure and even from the walls of the X-ray shielding room (environment scatter) can contribute differently to the detected signal.…”

Section: Regularization Provisionsmentioning

confidence: 99%

X-ray Microtomography under Loading and 3D-Volume Digital Image Correlation. A Review

Fedele

Ciani

Fiori

2014

Fundamenta Informaticae

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In this review paper the synergistic combination of X-ray microtomography, in situ mechanical tests on material samples and full-field kinematic measurements by 3D-Volume Digital Image Correlation is discussed. First, basic features are outlined, concerning X-ray microtomography by either laboratory sources or synchrotron radiation. The main equations for 3D-Volume Digital Image Correlation are then presented, and different provisions regularizing the ill-posed problem of motion estimation are outlined. Thereafter, a survey of the state of the art is provided, with reference to a variety of biological and engineering materials. Limitations and perspectives of the proposed methodology in diverse applications are highlighted. The rapid growth of this research topic is emphasized, due to the truly multi-disciplinary vocation, the synergy between algorithmic and technological solutions, a fusion of experiments and numerical methods.

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Section: Regularization Provisionsmentioning

confidence: 99%

X-ray Microtomography under Loading and 3D-Volume Digital Image Correlation. A Review

Fedele

Ciani

Fiori

2014

Fundamenta Informaticae

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“…From the fact that the X-ray interaction can be described as probability, the Monte Carlo method has become one of the popular methods to study X-ray scattering inside the object [10]. A lot of research used Monte Carlo simulation to estimate the intensity of the scattered X-rays, to consider the factors that affect amount of the scattered X-ray intensities, and to reduce the X-ray scattering effect on the reconstructed images [11–15]. The common procedure for scatter reduction was to subtract the scattering signals from the projection images [14, 15].…”

Section: Introductionmentioning

confidence: 99%

A Simple Scatter Reduction Method in Cone-Beam Computed Tomography for Dental and Maxillofacial Applications Based on Monte Carlo Simulation

Thanasupsombat

Thongvigitmanee

Aootaphao

et al. 2018

BioMed Research International

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The quality of images obtained from cone-beam computed tomography (CBCT) is important in diagnosis and treatment planning for dental and maxillofacial applications. However, X-ray scattering inside a human head is one of the main factors that cause a drop in image quality, especially in the CBCT system with a wide-angle cone-beam X-ray source and a large area detector. In this study, the X-ray scattering distribution within a standard head phantom was estimated using the Monte Carlo method based on Geant4. Due to small variation of low-frequency scattering signals, the scattering signals from the head phantom can be represented as the simple predetermined scattering signals from a patient's head and subtracted the projection data for scatter reduction. The results showed higher contrast and less cupping artifacts on the reconstructed images of the head phantom and real patients. Furthermore, the same simulated scattering signals can also be applied to process with higher-resolution projection data.

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“…Electrons with given energy and momentum distributions are driven to the tungsten anode and production of X-rays are fully simulated by MC simulations. Many similar studies using Geant4 simulation package showed good agreement for various target materials in different experimental setups [4][5][6]. For this study, the geometry of the OX/70-P dental tube [7] was constructed and X-ray beams were produced for different accelerating voltages.…”

Section: Introductionmentioning

confidence: 99%

Comparison of simulated and measured spectra from an X-ray tube for the energies between 20 and 35 keV

Yücel

Emirhan

Bayrak

et al. 2015

Nuclear Instruments and Methods in Physics Research Section A:

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Monte Carlo simulations of a high-resolution X-ray CT system for industrial applications

Cited by 39 publications

References 21 publications

X-ray Microtomography under Loading and 3D-Volume Digital Image Correlation. A Review

X-ray Microtomography under Loading and 3D-Volume Digital Image Correlation. A Review

A Simple Scatter Reduction Method in Cone-Beam Computed Tomography for Dental and Maxillofacial Applications Based on Monte Carlo Simulation

Comparison of simulated and measured spectra from an X-ray tube for the energies between 20 and 35 keV

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