Image Quality Improvement in Computed and Binary Tomography

Abstract

This thesis is the summary of the Author's research in the field of Computed and Binary Tomography. Our main aim was to improve reconstruction quality by developing novel algorithms and improving previous approaches in the research fields of selecting the most informative projection angles, automatic selection of the tube voltage of a CT scanner, and binarizing already reconstructed CT slices using Convolutional Neural Networks

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