Realistic 2D human thorax modelling for EIT

Electrical impedance tomography is a technique that permits estimation of r esistivity within a subject by reconstructing from boundary measurements. D ue to the ill conditioning of the problem, images are greatly affected by b oundary errors. Reconstruction algorithms account for boundary shape and el ectrode position by using a forward solver. In this paper is presented the realization of a 2D realistic thoracic model as a better approach compared to circular meshing. Several meshes with different discretizations are comp ared in terms of accuracy with a complete electrode model forward solver. B y comparing the different discretizations it is possible to choose an appro priate mesh density for the 2D EIT problem.