This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …

The precise temperature distribution measurement is crucial in many industrial fields, where
ultrasonic tomography (UT) has broad application prospects and significance. In order to …

The use of X-ray micro computed tomography (X-ray micro-CT) for three-dimensional (3D)
characterization of multiphase systems continues to increase in metallurgical research. In …

This paper describes a new MATLAB software package of iterative regularization methods
and test problems for large-scale linear inverse problems. The software package, called IR …

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 …

We present the Core Imaging Library (CIL), an open-source Python framework for
tomographic imaging with particular emphasis on reconstruction of challenging datasets …

In this work, we describe a new approach that uses deep neural networks (DNN) to obtain
regularization parameters for solving inverse problems. We consider a supervised learning …

We report a new approach to flow field tomography that uses the Navier–Stokes and
advection–diffusion equations to regularize reconstructions. Tomography is increasingly …

This paper surveys an important class of methods that combine iterative projection methods
and variational regularization methods for large-scale inverse problems. Iterative methods …

For solving the large-scale linear least-squares problem, we propose a block version of the
randomized extended Kaczmarz method, called the two-subspace randomized extended …