126 citations · 592 across the 53 of their papers we have counts for
6 papers · 1 filter
Learned enclosure method for experimental EIT data
Sara Sippola, Siiri Rautio, Andreas Hauptmann +2
Electrical impedance tomography (EIT) is a non-invasive imaging method with diverse applications, including medical imaging and non-destructive testing. The inverse problem of reco…
TILT: topological interface recovery in limited-angle tomography
Elli Karvonen, Matti Lassas, Pekka Pankka +1
A novel reconstruction method is introduced for the severely ill-posed inverse problem of limited-angle tomography. It is well known that, depending on the available measurement, a…
Learning a microlocal prior for limited-angle tomography
Siiri Rautio, Rashmi Murthy, Tatiana A. Bubba +2
Limited-angle tomography is a highly ill-posed linear inverse problem. It arises in many applications, such as digital breast tomosynthesis. Reconstructions from limited-angle data…
Helsinki Deblur Challenge 2021: description of photographic data
Markus Juvonen, Samuli Siltanen, Fernando Silva de Moura
The photographic dataset collected for the Helsinki Deblur Challenge 2021 (HDC2021) contains pairs of images taken by two identical cameras of the same target but with different co…
Classification of stroke using Neural Networks in Electrical Impedance Tomography
Juan Pablo Agnelli, Aynur Çöl, Matti Lassas +3
Electrical Impedance Tomography (EIT) is an emerging non-invasive medical imaging modality. It is based on feeding electrical currents into the patient, measuring the resulting vol…
Sparse dynamic tomography. A shearlet-based approach for iodine perfusion in plant stems
Tatiana A. Bubba, Tommi Heikkilä, Hanna Help +3
In this paper we propose a motion-aware variational approach to reconstruct moving objects from sparse dynamic data. The motivation of this work stems from X-ray imaging of plants…