Publication
Title
Improved X-ray CT reconstruction techniques with non-linear imaging models
Author
Abstract
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.
Language
English
Publication
Antwerp : University of Antwerp , 2024
Volume/pages
xv, 139 p.
Note
Supervisor: Sijbers, Jan [Supervisor]
Supervisor: De Beenhouwer, Jan [Supervisor]
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Quantitative edge illumination computed tomography: multi-modal reconstructions from polychromatic sources.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 10.01.2024
Last edited 20.01.2024
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