3D Uncertainty Quantification for the Photo-Acoustic Tomography
A finite-element Bayesian UQ framework for PAT is developed that naturally accommodates complex computational domains and detector geometries while enabling large-scale three-dimensional inference, and the resulting methodology extends naturally to a broad class of linear PDE-constrained inverse problems.