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Further information on SIRF and PET image reconstruction
The SIRF (Synergistic Image Reconstruction Framework) software is an Open Source toolkit for the reconstruction of PET, SPECT and MRI raw data. The aim is to provide code simple enough to easily perform a reconstruction, yet powerful enough to be able to handle real, full-size datasets. This software is being developed as part of SyneRBI, the Collaborative Computational Platform for Synergistic Reconstruction for Biomedical Imaging (formerly CCP PETMR). More information on SIRF can be found in our Wiki.
CIL is an Open Source mainly Python framework for tomographic imaging, originally intended for CT. However, it contains an optimisation library enabling easy use and development of state-of-the-art reconstruction algorithms. As CIL and SIRF are fully compatible, these can be used for PET reconstruction as well.
We provide a range of different teaching materials. In addition to recorded lectures we also have a selection of notebooks which explain you different aspects of SIRF. A good starting point for this challenge are the PET exercises. PET related material is also available at SIRF-Contribs, including example implementations of (modified) BSREM, the de Pierro algorithm. In addition, the CIL-Demos repository contains some examples of iterative reconstruction that could be useful for participants as well.
Of course we hope that this challenge will spark your interest in SIRF and that you also have a look at all the other things you can do with SIRF besides PET image reconstruction!