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

Allbwn ymchwil: Cyfraniad arallCyfraniad Aralladolygiad gan gymheiriaid

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Modelling the response of x-ray detectors and removing artefacts in 3D tomography. / Vidal, Franck.
Institut National des Sciences Appliquées de Lyon. 2003Masters by Research.

Allbwn ymchwil: Cyfraniad arallCyfraniad Aralladolygiad gan gymheiriaid

HarvardHarvard

APA

CBE

Vidal F. 2003. Modelling the response of x-ray detectors and removing artefacts in 3D tomography. Institut National des Sciences Appliquées de Lyon.

MLA

Vidal, Franck, Modelling the response of x-ray detectors and removing artefacts in 3D tomography, Institut National des Sciences Appliquées de Lyon, 2003.

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Author

Vidal, Franck. / Modelling the response of x-ray detectors and removing artefacts in 3D tomography. 2003. Institut National des Sciences Appliquées de Lyon.

RIS

TY - GEN

T1 - Modelling the response of x-ray detectors and removing artefacts in 3D tomography

AU - Vidal, Franck

PY - 2003/9

Y1 - 2003/9

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 -