Piecewise constant level-set enhanced active shape reconstruction for electrical impedance tomography

Abstract

To accurately access the quantitative information of industrial and biomedical processes, a piecewise constant level-set enhanced inclusion boundary reconstruction (PLBR) method is proposed for EIT. The target inclusion boundaries are parameterized by a parametric active contour joint piecewise constant level set model. An augmented least square approach is presented to simultaneously estimate the unknown boundary and conductivity parameters from the EIT voltage data. Compared with the other active shape reconstruction methods of EIT, the PLBR does not need to know the number of target inclusion and the number of conductivity phases, thus owns wider applications. The numerical and experiential results from a tank model with both single- and multi-phase conductivity further proved the topological robustness and shape reconstruction accuracy of the proposed method.