347 citations · 987 across the 24 of their papers we have counts for
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Model based learning for accelerated, limited-view 3D photoacoustic tomography
Andreas Hauptmann, Felix Lucka, Marta Betcke +6
Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed-up. In this work we…
A Variational Reconstruction Method for Undersampled Dynamic X-ray Tomography based on Physical Motion Models
Martin Burger, Hendrik Dirks, Lena Frerking +3
In this paper we study the reconstruction of moving object densities from undersampled dynamic X-ray tomography in two dimensions. A particular motivation of this study is to use r…
Open 2D Electrical Impedance Tomography data archive
Andreas Hauptmann, Ville Kolehmainen, Nguyet Minh Mach +3
This document reports an Open 2D Electrical Impedance Tomography (EIT) data set. The EIT measurements were collected from a circular body (a flat tank filled with saline) with vari…
Approximation of full-boundary data from partial-boundary electrode measurements
Andreas Hauptmann
Measurements on a subset of the boundary are common in electrical impedance tomography, especially any electrode model can be interpreted as a partial boundary problem. The informa…