CMIC Seminar: Dynamic and subsampled inverse problems

About

In many high-resolution imaging modalities and in imaging of dynamical processes, the major bottle neck is the acquisition time of finely spatially sampled data. In particular, in the dynamic context this inevitably results in incomplete data. In this talk I am going to review the journey towards dynamic photoacoustic imaging we embarked on in our group at UCL. I will consider fast numerical models for wave propagation for the implementation of the forward and the adjoint operators. I will describe different approaches to reconstruction from compressed or subsampled data for acceleration of a static image reconstruction and finally I will discuss fully dynamic image reconstruction using spatio-temporal regularisation within the variational framework including applications to dynamic PAT and CBCT.

Visitors from outside UCL please email in advance.