PETRIC

During the summer of 2024, we held the PET Rapid Image Reconstruction Challenge’s (PETRIC). The primary aim of this challenge was to stimulate research into the development of fast PET image reconstruction algorithms applicable to real world data. Motivated by the success of the clinical translation of regularised image reconstruction in PET and other modalities, the challenge focused on a smoothed version of the relative difference prior. The participants had access to a sizeable set of phantom data acquired on a range of clinical scanners. The main task for the participants of the challenge was to reach a solution which is close to the converged image (e.g. in terms of mean VOI SUV) as quickly as possible (as measured in terms of computation time).

More details on PETRIC can be found at our wiki.

Read the announcement of PETRIC.

PETRIC Workshop

The PETRIC challenge culminated in a workshop where our invited experts presented recent advances in image reconstruction, covering developments in CT, MRI and PET. This was followed by an overview of the PET Rapid Image Reconstruction Challenge and an award ceremony for the winning teams.

The 3 winning teams gave a presentation on their algorithms. All presentations and recordings can be found on the PETRIC workshop page