Variational image reconstruction methods for tomography - PET and transmission CT with mixed Poisson-Gaussian noise

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Variational image reconstruction methods for tomography - PET and transmission CT with mixed Poisson-Gaussian noise

This thesis focuses on total variation based variational image reconstruction models that arise in linear and non-linear inverse problems with measurements corrupted by mixed Poisson and Gaussian noise. An inverse problem can be described as identifying model parameters given the observed measuremen...

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Bibliographic Details
Main Author:	Papanikos, G
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2020
Subjects:	Positron emission tomography Transmission X-ray computed tomography Inverse problems Variational models Total variation X-ray transform Divergent X-ray transform 3D reconstruction Cone beam transform Fan-beam transform Mixed Poisson and Gaussian noise Bayesian modelling.
Online Access:	https://eprints.nottingham.ac.uk/63309/

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