News

04-15-2023 — Four presentations at Fully3D 2023

Our group will be presenting several contributions at this year's Fully3D on July 16-21, 2023, in Stony Brook, USA.

From CIIP directly, we will present works on our open-source software library elsa and deep learning methods for sparse X-ray computed tomography, as well as on spherical acquisitions for robotic X-ray CT systems.

In collaboration with our partners from the Chair of Biomedical Physics, we will present one work on dark-field imaging on a clinical X-ray CT system.

Related publications:

  • D. Frank, J. Jelten, T. Lasser. An update to elsa - an elegant framework for tomographic reconstruction. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
  • T. Cheslerean-Boghiu, F. Pfeiffer, T. Lasser. Translating sparse sinogram measurements into reconstruction patches without geometry information via the attention mechanism. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
  • E. Pekel, M. Dierolf, F. Pfeiffer, T. Lasser. Spherical acquisition trajectories for X-ray Computed Tomography with a robotic sample holder. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023
  • J. Häusele, C. Schmid, M. Viermetz, N. Gustschin, T. Lasser, T. Koehler, F. Pfeiffer. X-ray Dark-Field Imaging at the Human Scale: Helical Computed Tomography and Surview Imaging. Fully3 Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Stony Brook, USA, July, 2023