Research project: Fast,large scale optimization algorithms for tomographic image reconstruction
This project focuses on developing novel algorithms that are tailored to large-scale tomographic reconstruction. The algorithms will be based on the latest developments in the field of compressed sensing and randomised algorithms. This will be achieved by developing algorithms that run efficiently on modern high-performance computing infrastructures, where each computing node does not have fast access to the entire dataset at once and where communication between different nodes is relatively slow. The project is being carried out by Associate processor Thomas Blumensath and his PhD student Yushan Gao