Level Set Based Reconstruction Algorithm for Eit Lung Images

We show that electrical impedance tomography (EIT) image reconstruction algorithms based on the Level Set (LS) method are suitable for real data, which is breathing data in our application. The LS based reconstruction method (LSRM) helps track fast topologically changing interfaces, which are typically smoothed by traditional voxel based reconstruction method (VBRM), during the monitoring process. We represent lung images by applying the LSRM using difference solver and then compare the results with the VBRM. According to our results, LSRM outperforms its voxel based counterparts in producing high quality, high contrast images of lung.