Lung ventilation imaging using EIT with Sciospec
Dr. Kyounghun Lee, Computional Science & Engineering, Yonsei University Seoul, South Korea
Pulmonary activity can be visualized with Sciospec 16-channel EIT device by using time-difference imaging technique.
Software can easily control Sciospec device to perform real-time image reconstruction. The following images are of the software made by C#.
FER algorithm is used for the image reconstruction. See the paper ‘A fidelity-embedded regularization method for robust electrical impedance tomography’ for details.
Key Features of Sciospec EIT system
Fast Data acquisition – up to 100 frames per second
Wide Frequency range – from 100 Hz to 1 MHz
Provides user-defined Current injection and Voltage measure pattern