Image reconstruction in hybrid optical imaging modalities using Monte-Carlo solutions to the transport equationMS61

The physics, resolution, and imaging depth of hybrid techniques such as photoacoustic tomography (PAT) is such that model-based approaches to the quantitative inverse problem require use of the radiative transport equation (RTE). Solutions to the RTE are typically sought via stochastic Monte-Carlo methods. In this work we couple our Radiance Monte-Carlo technique with a new stochastic optimisation method which allows us to demonstrate fast simultaneous reconstruction of the absorption and scattering coefficient in three dimensions.

This presentation is part of Minisymposium “MS61 - Imaging with Light and Sound (3 parts)
organized by: Felix Lucka (CWI & UCL) , Tanja Tarvainen (University of Eastern Finland) .

Samuel Powell (University College London)
image reconstruction, inverse problems, nonlinear optimization, partial differential equation models, statistical inverse estimation methods