Statistical iterative reconstruction and dose reduction in multi-slice computed tomography
Logos
ISBN 978-3-8325-5443-9
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Softcover
2022
In englischer Sprache
Umfang: 206 S.
Format (B x L): 14,5 x 21 cm
Verlag: Logos
ISBN: 978-3-8325-5443-9
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Studien zur Mustererkennung; 49
Produktbeschreibung
In this work, inter alia the definition of the modeling of the forward projection is examined as well as the influence of statistical weights and data redundancies in interaction with various iterative reconstruction techniques. Extensive studies were set up, which challenge the various techniques in every respect and bring the models to their limits. Image quality was assessed using the following quantitative metrics: basic metrics and task-based metrics. The investigation shows that the definition of iterative reconstruction parameters is not always trivial and must always be understood comprehensively to obtain an optimal image quality.
Finally, a novel reconstruction algorithm, called FINESSE, is presented, which improves some of the weaknesses of other reconstruction techniques.
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Logos Verlag Berlin GmbH
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