Electrical impedance tomography - My current results

I want to introduce current results in EIT imaging study that are obtained by me. The developed model, algorithms (that are became the heart of written software) and EIT acquisition system were used to get images on artificial phantom. The Matlab was used to implement the reconstruction algorithm and C++/Java were used to write software to collect data from hardware acquisition system.

The finite element model of object under investigation is showed on Fig.1. The 2-D representation of flat container of round shape was used. It consists of 97 nodes and 160 elements. The 16 electrodes that can be used for measurement or current applying are placed surround the object. The 182 observations were collected.

Electrical impedance tomography (Part IV) - Jacobian

In EIT problem solving it is necessary to calculate the derivatives of the measured voltages respect to conductivity. Complete matrix of partial derivatives is called the Jacobian, sometimes called the sensitivity matrix and its rows are called sensitivity maps [1].

Jacobian - the matrix of the sensitivity of the voltage across the electrodes to the change in electrical conductivity within the object in the application of different current patterns.