Realistic 2D human thorax modelling for EIT.

Electrical impedance tomography is a technique that permits estimation of resistivity within a subject by reconstructing from boundary measurements. Due to the ill conditioning of the problem, images are greatly affected by boundary errors. Reconstruction algorithms account for boundary shape and electrode 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 compared in terms of accuracy with a complete electrode model forward solver. By comparing the different discretizations it is possible to choose an appropriate mesh density for the 2D EIT problem.