M21. Imaging Modalities: Recent Advances and Beyond
The past century has witnessed accelerated development in imaging techniques for medical, biological, industrial and geophysical applications using a wide range of physical modalities. Examples include microscopy, ultrasound, X-ray transmission, positron emission, magnetic resonance, electrical impedance, photoacoustic effect, microwave radiation, atmospheric muons, and seismic waves. The realm of imaging modalities is constantly expanding. Because of their non-intrusive nature, each image reconstruction technique requires finding the solution of an ill-posed mathematical inverse problem to recover the physical properties of a medium using only external measurements. However, each modality and application considered still provides different challenges from both the theoretical and computational point of views. This mini-symposium is aiming to highlight some of the most recent, promising and exciting scientific developments to overcome them.
Organizer:
Cristiana Sebu, University of Malta, Malta, This email address is being protected from spambots. You need JavaScript enabled to view it.
Invited Speakers (in alphabetical order):
Hannes Albers, University of Bremen, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
The calibration problem in magnetic particle imaging: Time-dependent parameter identification in nanoparticles' magnetization dynamics
Melody Alsaker, Gonzaga University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Ultrasound Data as a Prior in Thoracic Imaging with Electrical Impedance Tomography
Stephan Antholzer, University of Innsbruck, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.
Learned regularizers for compressed sensing photoacoustic tomography
Tatiana Bubba, University of Helsinki, Finland, This email address is being protected from spambots. You need JavaScript enabled to view it.
Simultaneous reconstruction of emission and attenuation in passive gamma emission tomography of spent nuclear fuel
Sabrina Guastavino, University of Genoa, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
An adaptive sparsity-enhancing method for restoring solar images affected by diffraction and saturation effects with application to SDO/AIA images
Tobias Kluth, University of Bremen, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
The calibration problem in magnetic particle imaging: Time-dependent parameter identification in nanoparticles' magnetization dynamics
Peter Maass, University of Bremen, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Analytic approaches combined with deep learning concepts for magnetic particle imaging
Pierre Marechal, Université Paul Sabatier, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
Irina V. Melnikova, Ural State University, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Direct and inverse problems for stochastic processes
Volker Michel, University of Siegen, Germany This email address is being protected from spambots. You need JavaScript enabled to view it.
Geophysical and medical imaging: what they can learn from each other
Lukas Neumann, University of Innsbruck, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.
Block coordinate descent for inverse problems and application to multi spectral X-ray CT imaging
Victor P. Palamodov, Tel Aviv University, Israel, This email address is being protected from spambots. You need JavaScript enabled to view it.
A method for electrical property tomography based on an explicit formula
Daniela Schiefeneder, University of Innsbruck, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.
On ill-posedness of Volterra integral equations
Aku Seppänen, University of Eastern Finland, Finland, This email address is being protected from spambots. You need JavaScript enabled to view it.
Tomographic imaging of cement-based materials
Alberto Sorrentino, University of Genoa, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
A Bayesian approach to sparse imaging with Monte Carlo samplers
Faouzi Triki, Université Grenoble Alpes, France, This email address is being protected from spambots. You need JavaScript enabled to view it.