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Title
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Improved X-ray CT reconstruction techniques with non-linear imaging models
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Author
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Abstract
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| X-ray computed tomography (CT) is a powerful and non-invasive technique to visualise the internal structure of an object from a set of X-ray radiographs. Reconstruction algorithms are used to map projection data to a 3D volume. A model of the X-ray acquisition process is used by reconstruction algorithms and the algorithms require a large number of projections to function well. However, in certain applications, the number of projections has to be limited, to reduce total delivered dose, lower acquisition time or because of geometrical constraints. Furthermore, the most commonly used algorithms have a simple linear forward model for X-ray attenuation that does not model the real acquisition accurately. Finally, conventional reconstruction algorithms in CT are not efficient with respect to computation time. In this thesis, we will develop improved reconstruction algorithms for CT by investigating more accurate non-linear forward models, and different numerical optimisation approaches for these models. |
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Language
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English
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Publication
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Antwerp
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University of Antwerp
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2024
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DOI
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10.63028/10067/2022510151162165141
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Volume/pages
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xv, 139 p.
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Note
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Sijbers, Jan [Supervisor]
:
De Beenhouwer, Jan [Supervisor]
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Full text (open access)
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