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:

  • Networking and community:
    • Bringing together expertise: improve communication between researchers and initiatives to advance the understanding of multi-modal imaging data, algorithms and scope for synergy.
    • Training the next generation: target young researchers, from Masters, to PhDs and postdocs to develop the future leaders in the field.
  • Expanding open source software (OSS) infrastructure: enable researchers to use a high-quality common framework for cross-modality algorithm development, concentrating on SPECT, PET and MR reconstruction, potentially using “side-information” from images from other time points and imaging modalities. The software will be powerful enough to handle real data, but simple enough to be used for training and fast prototyping.
  • Translation towards biomedical research: create validated comprehensive pipelines for raw-data-to-end-result in clinical research studies, and train end-users in advanced synergistic image reconstruction methods to enable proof-of-concept studies.


CCPSyneRBI is funded by the EPSRC grant EP/T026693/1.