Modelling the response of x-ray detectors and removing artefacts in 3D tomography

Franck Vidal

Modelling the response of x-ray detectors and removing artefacts in 3D tomography

School of Computer Science & Engineering

Research output: Other contribution › peer-review

Abstract

This work presents a method for modelling the response of X-ray detectors applied to remove artefacts in tomography. On some reconstructed volumes by tomography using synchrotron radiations at ESRF, dark line artefacts (under-estimation of linear attenuation coefficients) appear when high density material are aligned. The causes of these artefacts have been determined using experimental and simulation methods; then simulated artefacts were removed. Finally two different causes are highlighted in this study. One of them is the impulse response of the used detector, the Frelon camera of ID19 beamline. An iterative fixed point algorithm has been used successfully to remove simulated artefacts on tomographic slices.

Original language	English
Type	Masters by Research
Media of output	Supervisor: J.M. Letang
Publisher	Institut National des Sciences Appliquées de Lyon
Publication status	Published - Sept 2003

Keywords

tomography
X-ray
detectors response modelling
artefacts
simulation
deconvolution

Access to Document

http://fpvidal.net/research/publications.php#thesis

1 Article

Use of fast realistic simulations on GPU to extract CAD models from microtomographic data in the presence of strong CT artefacts
Vidal, F., Mitchell, I. & Letang, J. M., 1 Mar 2022, In: Precision Engineering. 74, p. 110-125
Research output: Contribution to journal › Article › peer-review

Open Access
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128 Downloads (Pure)

1 Oral presentation

Optimisation and Simulation of X-ray images: Automatic registration of surface models on synchrotron microtomography data
Vidal, F. (Speaker), Mitchell, I. (Speaker) & Letang, J. M. (Speaker)
21 Oct 2021
Activity: Talk or presentation › Oral presentation

Cite this

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title = "Modelling the response of x-ray detectors and removing artefacts in 3D tomography",

abstract = " This work presents a method for modelling the response of X-ray detectors applied to remove artefacts in tomography. On some reconstructed volumes by tomography using synchrotron radiations at ESRF, dark line artefacts (under-estimation of linear attenuation coefficients) appear when high density material are aligned. The causes of these artefacts have been determined using experimental and simulation methods; then simulated artefacts were removed. Finally two different causes are highlighted in this study. One of them is the impulse response of the used detector, the Frelon camera of ID19 beamline. An iterative fixed point algorithm has been used successfully to remove simulated artefacts on tomographic slices.",

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language = "English",

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N2 - This work presents a method for modelling the response of X-ray detectors applied to remove artefacts in tomography. On some reconstructed volumes by tomography using synchrotron radiations at ESRF, dark line artefacts (under-estimation of linear attenuation coefficients) appear when high density material are aligned. The causes of these artefacts have been determined using experimental and simulation methods; then simulated artefacts were removed. Finally two different causes are highlighted in this study. One of them is the impulse response of the used detector, the Frelon camera of ID19 beamline. An iterative fixed point algorithm has been used successfully to remove simulated artefacts on tomographic slices.

AB - This work presents a method for modelling the response of X-ray detectors applied to remove artefacts in tomography. On some reconstructed volumes by tomography using synchrotron radiations at ESRF, dark line artefacts (under-estimation of linear attenuation coefficients) appear when high density material are aligned. The causes of these artefacts have been determined using experimental and simulation methods; then simulated artefacts were removed. Finally two different causes are highlighted in this study. One of them is the impulse response of the used detector, the Frelon camera of ID19 beamline. An iterative fixed point algorithm has been used successfully to remove simulated artefacts on tomographic slices.

KW - tomography

KW - X-ray

KW - detectors response modelling

KW - artefacts

KW - simulation

KW - deconvolution

M3 - Other contribution

PB - Institut National des Sciences Appliquées de Lyon

ER -

Modelling the response of x-ray detectors and removing artefacts in 3D tomography

Abstract

Keywords

Access to Document

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Research output

Use of fast realistic simulations on GPU to extract CAD models from microtomographic data in the presence of strong CT artefacts

Activities

Optimisation and Simulation of X-ray images: Automatic registration of surface models on synchrotron microtomography data

Cite this