Collaborative Computational Project in Synergistic Reconstruction for Biomedical Imaging

Synergistic Reconstruction Symposium

Sunday, November 3, 2019 - 08:00 to Wednesday, November 6, 2019 - 18:00


Traditionally, image reconstruction has focused on estimating 2D or 3D images from a single modality data-set and acquisition. In recent years however, there have been significant developments in hardware and systems that allow extracting multi-parametric images from multiple data-sets. Examples include multi-spectral CT, multi-sequence MR, multi-modality such as PET-MR, and acquisitions from multiple-time points. While it is possible with such data to reconstruct several images independently, each corresponding to a different parameter or time-point, it is often advantageous, although challenging, to synergistically reconstruct all images.

This event aims to bring a group of researchers together from these different fields and application areas, including medical and industrial imaging, to disseminate ideas to, and learn from, researchers both within and outside their usual research field.

The event consisted of two parts:


Below you can see the agenda of the symposium and training, with links to presentations for which we are grateful to the presenters.

Follow this link for an up-to-date version of the material.

Session 1 Educational Talks
Session 2 Machine Learning/Artificial Intelligence
Session 3 Bayesian methods
Session 4 Model based methods
Session 5 Multimodal
Session 6 X-rays
Session 7 Software
Software Session MR Videos
Software Session PET Videos
Software Session X-Rays Videos

Organising committee

Chair: Kris Thielemans, UCL

Co-chairs: Charalampos ‘Harry’ Tsoumpas, Leeds; Jakob Jorgensen, Manchester; Christoph Kolbitsch, PTB; Richard Brown, UCL (software training)

Organising committee:
Simon Arridge, UCL; David Atkinson, UCL; Nikos Dikaios, Surrey; Matthias Ehrhardt, Bath; Daniil Kazantsev, Diamond Light Source Ltd; Bill Lionheart, Manchester; Julian Matthews, Manchester; Claudia Prieto, KCL; Andrew Reader, KCL; Martin Turner, Manchester

Organised by the Collaborations: