M14. Mathematical Methods in Tomography Across the Scales

Tomographic imaging continues to attract a lot of interest from the inverse problems community because of the increasing need of new mathematical models describing better the experiments and of efficient and sophisticated computational algorithms handling big data. In Austria, five Universities and one institute are collaborating in this direction under the Special Research Project “Tomography across the scales” founded by the Austrian Science Fund (FWF).

In this mini-symposium we bring together researchers, members of the project and external collaborators, working on imaging problems from the nanoscale of single molecule imaging to microscale of multi-modal imaging. We cover topics such as adaptive optics, quantitative reconstructions, image processing, and integral transforms.

Organizers:
Peter Elbau, University of Vienna, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.
Leonidas Mindrinos, University of Vienna, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers:
Andrea Aspri, University of Milan, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.  
Data driven regularization

Florian Faucher, University of Vienna, Austria,  This email address is being protected from spambots. You need JavaScript enabled to view it.                                                 
Quantitative seismic imaging using reciprocity-based methods enabling arbitrary probing sources

Leon  Frischauf, University of Vienna, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.                                                     
Data-driven methods in inverse problems

Simon Hubmer, Johann Radon Institute for Computational and Applied Mathematics, Austria,  This email address is being protected from spambots. You need JavaScript enabled to view it.      
A frame decomposition of the atmospheric tomography operator

Tim Jahn, Institute for Numerical Simulation, University of Bonn, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.    
A probabilistic oracle inequality and quantification of uncertainty of a modified discrepancy principle under white noise

David Omogbhe, Johann Radon Institute for Computational and Applied Mathematics, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.
A Fourier approach to the  inverse source problem in an absorbing and scattering medium  with applications to Optical Molecular Imaging 

Ekaterina Sherina, University of Vienna, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.                           
Displacement field estimation utilizing speckle information for parameter recovery in quantitative elastography

Leopold Veselka, University of Vienna, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.        
Displacement Field Estimation Utilizing Speckle Information for Parameter Recovery in Quantitative Elastography