Sensitivity map generation in electrical capacitance tomography using mixed normalization models

Abstract

This work is concerned with the generation of sensitivity maps in electrical capacitance tomography based on the concepts of electrical field centre lines. Electrical capacitance tomography systems are normalized at the upper and lower permittivity values for image reconstruction. Conventional normalization assumes the distribution of materials in parallel and results in normalized capacitance as a linear function of measured capacitance. A recent approach is the usage of a series sensor model which results in normalized capacitance as a nonlinear function of measured capacitance. In this study different forms of normalizations are combined with sensitivity maps based on electrical field centre lines and it is shown that a mix of two normalization models improves the reconstruction performance.

Simulation Studies on Image Reconstruction Algorithm for Portable Electrical Capacitance Tomography

“…The electric field distribution and electrical potential distribution in ECT sensor can be described using Poisson equation. Since there are no sources inside the sensor, assumption charge distribution of zero was implemented [13].…”

Maximum entropy regularization method for electrical impedance tomography combined with a normalized sensitivity map

“…To take full advantage of ''soft-field'' characteristic, some prior information has been introduced into computation of the sensitivity map, which has proved that the sensing field is more uniform [12]. Besides that, normalization of the sensitivity map is an alternative method, which is widely used in electrical capacitance tomography (ECT) [13]. The normalized sensitivity map becomes more sensitive in the centre of the object and has more contributions in the reconstruction process.…”

A compact electrical capacitance tomography system

“…Image reconstruction for ECT is presented in [1] and [4]. It is a severely under-determined problem.…”