X-ray computed tomography (CT) is a non-destructive technique that offers a 3D insight into
the microstructure of thick (opaque) samples with virtually no preliminary sample …

Inverse problems arise from the need to interpret indirect and incomplete measurements. As
an area of contemporary mathematics, the field of inverse problems is strongly driven by …

In practical applications of tomographic imaging, there are often challenges for image
reconstruction due to under-sampling and insufficient data. In computed tomography (CT) …

This book is primarily aimed at students, researchers, and practitioners who are interested in
the computational aspects of X-ray computed tomography (CT). It is also relevant for those …

The high complexity of various inverse problems poses a significant challenge to model-
based reconstruction schemes, which in such situations often reach their limits. At the same …

We apply Electrical Resistance Tomography (ERT) for three dimensional imaging of
concrete. In ERT, alternating currents are injected into the target using an array of electrodes …

In the last decades, baggage inspection based on X-ray imaging has been established to
protect environments in which access control is of vital significance. In several public …

Limited angle problem is a challenging issue in x-ray computed tomography (CT) field.
Iterative reconstruction methods that utilize the additional prior can suppress artifacts and …

X-ray Computed Tomography (CT) is widely used in clinical applications such as diagnosis
and image-guided interventions. In this paper, we propose a new deep learning based …

Bayesian solution of an inverse problem for indirect measurement $ M= AU+{\mathcal {E}} $
is considered, where $ U $ is a function on a domain of $ R^ d $. Here $ A $ is a smoothing …