CCP SyneRBI
Collaborative Computational Project in Synergistic Reconstruction for Biomedical Imaging
Collaborative Computational Project in Synergistic Reconstruction for Biomedical Imaging
Biomedical imaging increasingly involves multiple modalities and/or imaging time points. Advances in instrumentation opens up exciting potential for synergistic imaging. This EPSRC-funded collaborative computational project (CCP) aims to bring together the best of the UK's and international image reconstruction expertise to make this potential a reality. CCP SyneRBI (Synergistic Reconstruction for Biomedical Imaging) is the successor of CCP PETMR, extending the scope to other multi-modal biomedical imaging systems, concentrating on SPECT, PET and MR reconstruction, but including PET/CT and SPECT/CT systems.
CCP SyneRBI has the following primary aims:
CCP SyneRBI is funded by the EPSRC from 1 April 2020 - 31 March 2025. The PI is Kris Thielemans (UCL) and the CoIs are Andrew Reader (KCL), Charalampos Tsoumpas (UoLeeds), David Atkinson (UCL), Julian Matthews (UoManchester) and Matthias Ehrhardt (UoBath). CCP SyneRBI benefits from a wide membership of our Steering Panel, which meets twice yearly. See the Reports section of our website for past meetings.
The following documents provide an overview of the CCP and its aims:
The following figure shows the software architecture:
External Links
A list of PET facilities is at: http://www.ncri-pet.org.uk/pet_scanning_and_cyclotron_facilities.php