Image reconstruction in electrical impedance tomography using a reconfigurable FPGA system

Abstract

Abstract A networked tomographic data acquisition device architectured with FPGA is developed to provide remotely-reconfigurable waveform functions for emission of excitation signals. The purpose of the device is to explore online data acquisition techniques for medical applications. Dedicated electrodes for excitation and sensing were selected for the electrical perturbation of the media under study. This device precisely controls input and acquire output in synchrony. The envisaged use is particularly the exploitation of signal modulation to achieve selective response levels in live tissue. In this work we study the acquired data, simulate the measuring scheme selected for electrical perturbation using the finite element method, and estimate the impedance image of the media.