NOTICE.txt

CCP SyneRBI Synergistic Image Reconstruction Framework (SIRF).
Copyright 2015-2019, 2021-2022 Rutherford Appleton Laboratory, UK (STFC)
Copyright 2015-2019, 2021-2023 University College London. UK (UCL)
Copyright 2017-2019, 2021 Physikalisch-Technische Bundesanstalt, Germany (PTB)
Copyright 2019, 2021-2022 National Physical Laboratory, UK (NPL)
Copyright 2019 University of Leeds, UK

This software product is developed for the Collaborative Computational 
Project in Synergistic Reconstruction for Biomedical Imaging
(http://www.ccpsynerbi.ac.uk/) at RAL STFC (http://www.stfc.ac.uk), UCL (http://www.ucl.ac.uk/)
and other contributing institutions.

Main contributors:
- Kris Thielemans (this document, PET exercises, overall QA)
- Christoph Kolbitsch (MR exercises, Introductory notebooks)
- David Atkinson (MR exercises, geometry notebooks, overall QA)
- Evgueni Ovtchinnikov (PET and MR exercises)
- Edoardo Pasca (overall check and clean-up)
- Johannes Mayer (MR exercises)
- Richard Brown (PET and registration exercises)
- Daniel Deidda and Palak Wadhwa (HKEM exercise)
- Ashley Gillman (overall check, scripts and clean-up)
- Imraj Singh (Deep Learning for PET exercise)
- Daniel Deidda and Sam Porter (Synergistic SPECT/PET Reconstruction Exercises)