|
|
| Image Processing for Talbot-Lau X-ray Phase Contrast Grating-based Talbot-Lau X-ray Interferometry is a novel
imaging modality. Compared to standard absorption X-ray
imaging, it enables the acquisition of differential phase
contrast images. These images correspond to the electron
density of the scanned specimen. Furthermore, so-called
dark-field images are obtained. These images can
visualize density inhomogeneities at micrometer scale.
The goal of the project is to improve the image quality
in Talbot-Lau X-ray Imaging. Typically, Talbot-Lau setups
are sensitive to vibrations and thermal effects, as the
structure size of the employed gratings lies in the
micrometer range. Thus, the generated images may be
affected by image artifacts. These artifacts should be
removed using image processing. The final goal is to
achieve a consistent image quality outside of laboratory
conditions. | Project manager:
Dr.-Ing. Christian Riess
Project participants:
Sebastian Käppler, M. Sc.
Keywords:
Phase Contrast, Talbot-Lau, X-ray, Image Processing
Duration: 1.11.2014 - 31.12.2017
Sponsored by:
International Max Planck Research School Physics of Light (IMPRS-PL)
Contact:
Käppler, Sebastian
Phone +49 9131 85 27894, Fax +49 9131 85 27270, E-Mail: sebastian.kaeppler@fau.de
| | Publications |
|---|
| Käppler, Sebastian ; Wandner, Johannes ; Weber, Thomas ; Maier, Andreas ; Anton, Gisela ; ; Riess, Christian: Shading Correction for Grating-based Differential Phase Contrast X-ray Imaging. In: IEEE (Ed.) : 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) ((IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2014) Seattle, WA, USA 08.11.2014). 2014, pp 00-00. | Käppler, Sebastian ; Bayer, Florian ; Weber, Thomas ; Maier, Andreas ; Anton, Gisela ; ; Beckmann, Matthias W. ; Fasching, Peter Andreas ; Hartmann, Arndt ; Heindl, Felix ; ; Özgül, Gülümser ; Pelzer, Georg ; Rauh, Claudia ; Rieger, Jens ; Schulz-Wendtland, Rüdiger ; Uder, Michael ; Wachter, David Lukas ; Wenkel, Evelyn ; Riess, Christian: Signal Decomposition for X-ray Dark-field Imaging. In: MICCAI Society (Ed.) : Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2014 (International Conference on Medical Image Computing and Computer-Assisted Intervention Boston, MA, USA 15.09.2014). Heidelberg : Springer International Publishing, 2014, pp 170-177. (Lecture Notes in Computer Science Vol. 8673) - ISBN 978-3-319-10404-1
[doi>10.1007/978-3-319-10404-1_22] |
Institution: Chair of Computer Science 5 (Pattern Recognition)
|
|
|