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 propose a novel convolutional neural network (CNN), called Ψ DONet, designed for
learning pseudodifferential operators (Ψ DOs) in the context of linear inverse problems. Our …

Non-conventional scan trajectories for interventional three-dimensional imaging promise
low-dose interventions and a better radiation protection to the personnel. Circular …

We derive a new 3D model for magnetic particle imaging (MPI) that is able to incorporate
realistic magnetic fields in the reconstruction process. In real MPI scanners, the generated …

Для волнового уравнения, содержащего нелинейность в виде полинома $ n $-го
порядка, изучается задача об определении коэффициентов полинома, зависящих от …

For the wave equation containing a nonlinearity in the form of an th order polynomial, we
study the problem of determining the coefficients of the polynomial depending on the …

A new numerical method for x-ray tomography for a specific case of incomplete Radon data
is proposed. Potential applications are in checking out bulky luggage in airports. This …

Generalized Radon Transforms and Imaging by Scattered Particles: Radiative Transport
Equation Page 1 Chapter 1 Radiative Transport Equation The radiative transport (or transfer) …

We present new joint reconstruction and regularization techniques inspired by ideas in
microlocal analysis and lambda tomography, for the simultaneous reconstruction of the …