EIT image reconstruction with Discrete Cosine Transform

Abstract

Electrical Impedance Tomography (EIT) is used to monitor the regional distribution of ventilation in the lungs. In this paper we describe an approach to use patient specific morphological information, obtained e.g. from CT or MRI data, for the image reconstruction process of EIT imaging. The method utilizes the Discrete Cosine Transform (DCT) of an image of the considered thorax region. This reduces the dimensionality of the reconstruction problem, decreases the amount of artifacts and ensures that the region of the lungs is considered in the image reconstruction. The approach enables image fusion of morphological images with functional EIT images. The method is evaluated on simulated data and on measurements from patients.