M14. Inverse Problems in Tomographic Imaging Applications: The Practical Perspective

The mathematical principles of tomography form the basis of numerous practical applications, most prominently in medical imaging and non-destructive testing. For example, modalities such as optical coherence tomography (OCT), positron emission tomography (PET), magnetic resonance imaging (MRI), and X-ray computerized tomography (CT) are central to medical diagnostics and are supplemented by more recent techniques such as electrical impedance tomography (EIT), acousto-electrical tomography (AET), photoacoustic tomography (PAT), and quantitative elastography (QE). In other forms, tomography also plays a key role, for example, in ultrasound and radar imaging, or in applications of adaptive optics (AO) in astronomy or ophthalmology, among others.

In all of these cases, the development of efficient solution methods for the underlying inverse problems requires not only a deep understanding of both the mathematical and physical foundations but also, in particular, practical expertise in working with experimental data and under real-world constraints. Hence, in this minisymposium, we want to highlight research that bridges the gap between theory, mathematical modeling, and practical applications, showing how such interdisciplinary work is essential for advancing tomographic imaging not just from a theoretical but also from a practical perspective.

Organizers:
Margaret Duff, STFC Scientific Computing, UK, This email address is being protected from spambots. You need JavaScript enabled to view it.
Simon Hubmer, Johannes Kepler University Linz, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.
Ekaterina Sherina, University of Vienna, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers: 
Martin Sæbye Carøe, Technical University of Denmark, Denmark, This email address is being protected from spambots. You need JavaScript enabled to view it.  
Multimodal tomography of the martian meteorite black beauty using attenuation and diffraction imaging

Alexander Denker, University College London, UK, This email address is being protected from spambots. You need JavaScript enabled to view it. 
Deep learning based reconstruction methods for electrical impedance tomography