Reconstruction of layered biological tissues via electrical impedance tomography.

Abstract

The reconstruction of layered biological tissues, via electrical impedance tomography, is carried out by utilizing two alternative linear transformations, namely, Legendre polynomial expansion and Fourier Bessel transform. Both transformations are performed on a recently proposed image series expansion scheme in conjunction with the WKB approximation. The resultant spectrum posses a crucially important locality feature, assigning analytically to each spectral image term a local impedance associated with a unique layer, and thereby leading to efficient and accurate novel reconstruction procedures. The quality of the reconstruction procedures is verified through numerical simulations, revealing small reconstruction errors even in the presence of noisy data.