Graptor
Graptor — Graz Application for Tomographic Reconstruction reconstructs images from Radon-transform data using iterative variational methods and multi-channel total generalized variation regularization.
A particular focus is joint reconstruction of complementary channels, originally HAADF and EDX measurements in scanning transmission electron tomography. The OpenCL/GPU implementation is accompanied by a graphical user interface, preprocessing options, and a command-line reconstruction script.
The project originated in a collaboration between mathematics at the University of Graz and electron microscopy and nanoanalysis at Graz University of Technology. The repository includes phantom data and commands for reproducing the numerical results of the associated publication.
Publications
- Huber, R., Haberfehlner, G., Holler, M., Kothleitner, G., & Bredies, K. (2019). Total generalized variation regularization for multi-modal electron tomography. Nanoscale, 11(12), 5617–5632. https://doi.org/10.1039/C8NR09058K
Documentation
Read the documentationFunding
- License
- GPL-3.0-or-later
- Maintenance
- Not specified
- Source DOI
- 10.5281/zenodo.2586205