Classifying stroke using electrical impedance tomographyMS70

Stroke has two forms: bleeding in the brain (hemorrhagic), or a blood clot preventing blood flow (ischemic). A portable device for detecting the type of stroke would be a life-saver. Now ischemia lowers the conductivity of brain tissue, while hemorrhage raises it. EIT is an imaging method for recovering internal electric conductivity from boundary measurements. Therefore, EIT offers a promising approach for cost-effective stroke classification, although the resistive skull makes the inverse problem very difficult.

This presentation is part of Minisymposium “MS70 - Innovative Challenging Applications in Imaging Sciences (2 parts)
organized by: Roberto Mecca (University of Bologna and University of Cambridge) , Giulia Scalet (Dept. Civil Engineering and Architecture, University of Pavia) , Federica Sciacchitano (Dept. Mathematics, University of Genoa) .

Samuli Siltanen (University of Helsinki)
electrical impedance tomography, image reconstruction, inverse problems, medical imaging, stroke