Advantages of DOF's Continuous Matching in EIT Inverse Problem

This paper proposes new possibilities to solve the electrical impedance tomography inverse problem. Usually, a set of voltage measurements is acquired from the boundaries of an investigated volume, whilst this is subjected to a sequence of low-frequency current patterns. To find unknown material property distribution inside investigated object we can use the deterministic approach only, but there is often problem in such cases to find the stable and accurate solutions. To improve the stability and the accuracy of electrical impedance tomography image reconstructions new algorithm was created. In recent years is very often used the Level Set method to identify regions with different image or material properties and to separate the regions with known and unknown conductivity value. New algorithm is based on both of standard Tikhonov Regularization method and Level Set method. Further are presented also obtained reconstruction results.