We are delighted to announce that we are organising a training school providing hands-on exercises related to basic principles of iterative image reconstruction and associated modelling of the medical imaging acquisition process, focusing on Positron Emission Tomography (PET).
The school will start with a short lecture on basic concepts in PET image reconstruction and an introduction to the Open Source software Synergistic Image Reconstruction Framework (SIRF). This will be followed by group-based practical sessions using SIRF in Python. The sessions will be based on the Jupyter notebook training material available at github.com/SyneRBI/SIRF-Exercises. Participants will have access to the material in the cloud and will work in groups, allocated according to their familiarity with Python and PET image reconstruction.
Jupyter notebooks to be used
We have prepared a set of notebooks with examples and exercises on how to use SIRF and CIL. They can be run at any time. Our main repository is SIRF-Exercises on GitHub which contains instructions on how to run/install etc.
- https://github.com/SyneRBI/SIRF-Exercises/blob/master/notebooks/Introductory/introduction.ipynb
- https://github.com/SyneRBI/SIRF-Exercises/blob/master/notebooks/PET/image_creation_and_simulation.ipynb
- https://github.com/SyneRBI/SIRF-Exercises/blob/master/notebooks/PET/OSEM_reconstruction.ipynb
- https://github.com/SyneRBI/SIRF-Exercises/blob/master/notebooks/PET/ML_reconstruction.ipynb