3 papers
eess.IV2020
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks
Marinus J. Lagerwerf, Daniel M Pelt, Willem Jan Palenstijn +1
Circular cone-beam (CCB) Computed Tomography (CT) has become an integral part of industrial quality control, materials science and medical imaging. The need to acquire and process…
eess.IV2020
Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D Computed Tomography
Marinus J. Lagerwerf, Allard A. Hendriksen, Jan-Willem Buurlage +1
At X-ray beamlines of synchrotron light sources, the achievable time-resolution for 3D tomographic imaging of the interior of an object has been reduced to a fraction of a second,…
math.OC2018
Directional Sinogram Inpainting for Limited Angle Tomography
Robert Tovey, Martin Benning, Christoph Brune +5
In this paper we propose a new joint model for the reconstruction of tomography data under limited angle sampling regimes. In many applications of Tomography, e.g. Electron Microsc…