Research Projects

Electrical Impedance Tomography (EIT) is a non-invasive, radiation-free imaging modality, that uses small electrical currents in combination with voltage measurements at the boundary to reconstruct the conductivity distribution inside an object. In Medicine, this technique is mainly used in monitoring the lungs, as the conductivity changes during respiration are relatively large. In addition, the periodic nature of the process allows time-differential reconstruction. This is important as the problem of reconstruction is an ill-posed inverse problem, and reconstructing relative changes is much easier than reconstructing absolute impedance distributions. This, however, cannot be applied in static or very slow-changing scenarios. An alternative could be frequency differential EIT, where the information of current injections/voltage measurements at different excitation frequencies is exploited.

In this project, approaches to frequency differential EIT shall be explored. This encompasses analytical considerations, simulations, implementation and development of reconstruction algorithms, as well as experiments using an EIT phantom. The topic is a very broad one, so the focus can be set by the student based on their preferences.