REALPRIOREIT

This project aims to use Bayesian inference methods to solve inverse biomedical problems, using realistic physiological a priori. The primary application is electrical impedance tomography (EIT), which enables non-invasive imaging of conductivities and geometries in the human body. To obtain physiological a priori to incorporate into the Bayesian formulation, we will build a library of realistic images from modalities such as CT or MRI.