TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox. TIGRE is a MATLAB and Python/CUDA toolbox for fast and accurate 3D tomographic reconstruction (any geometry), created jointly by University of Bath’s Engineering Tomography Lab and CERN. The aim of TIGRE is to provide a wide range of easy-to-use iterative algorithms to the tomographic research community. We would like to build an stronger bridge between algorithm researchers and imaging researchers, by encouraging and supporting contributions from both sides into TIGRE.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Jakob S. Jørgensen, Evelina Ametova, Genoveva Burca, Gemma Fardell, Evangelos Papoutsellis, Edoardo Pasca, Kris Thielemans, Martin Turner, Ryan Warr, William R. B. Lionheart, Philip J. Withers: Core Imaging Library - Part I: a versatile Python framework for tomographic imaging (2021) arXiv
- Dong, Yiqiu; Hansen, Per Christian; Hochstenbach, Michiel E.; Brogaard Riis, Nicolai André: Fixing nonconvergence of algebraic iterative reconstruction with an unmatched backprojector (2019)
- Soubies, Emmanuel; Soulez, Ferréol; McCann, Michael T.; Pham, Thanh-an; Donati, Laurène; Debarre, Thomas; Sage, Daniel; Unser, Michael: Pocket guide to solve inverse problems with GlobalBioim (2019)
- Hansen, Per Christian; Jørgensen, Jakob Sauer: AIR tools II: algebraic iterative reconstruction methods, improved implementation (2018)