Projection and reconstruction-based noise filtering methods in cone beam CT

Bevilacqua, Francesca (2019) Projection and reconstruction-based noise filtering methods in cone beam CT. [Laurea magistrale], Università di Bologna, Corso di Studio in Matematica [LM-DM270], Documento full-text non disponibile
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This thesis has been motivated and developed within a collaboration project between the Department of Mathematics of the University of Bologna and the company Skanray Europe Srl. In detail, this work focuses on Cone Beam CT reconstruction of the human head, with particular interest in detecting small soft tissue elements within white and grey brain matter. This problem is expecially difficult due to the small contrast in the X-ray attenuation coefficient between the two substances to be discriminated. After accurately modelling the data acquisition process (also according to the requirements of the company), we propose a novel reconstruction algorithm based on two subsequent steps. First, the measured and degraded projections are restored, namely the blur and the noise are removed. Second, the restored projections are feeded as input to a variational reconstruction method named TV3D-L2, so as to get an accurate final reconstruciton of the head. Several experimental tests are presented which provide evidence for the proposed approach outperforming classical ones expecially for low-dose CT.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Bevilacqua, Francesca
Relatore della tesi
Correlatore della tesi
Corso di studio
Curriculum A: Generale e applicativo
Ordinamento Cds
Parole chiave
Cone Beam CT,restoration strategy,Denoising,Reconstruction algorithm,Computed Tomography,Fluorescence effects
Data di discussione della Tesi
25 Ottobre 2019

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