Tatiana Bubba

University of Ferrara

In this course, I will give an introduction to theoretical and practical aspects of X-ray tomographic imaging. In particular, I will introduce the Radon transform and the filtered back-projection algorithm, and then focus on the challenges of image reconstruction from limited or noisy data, and how these can be faced using regularization theory. I will also touch upon the emerging field of tomographic reconstruction using deep learning techniques, covering topics such as learned priors, unrolled optimization algorithms, and end-to-end network architectures. Prior exposure to Fourier analysis, linear algebra, and basic functional analysis is recommended.