Case summary
At a glance
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 […]
Full reference article
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.
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
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Fast Data acquisition – up to 100 frames per second
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Wide Frequency range – from 100 Hz to 1 MHz
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Provides user-defined Current injection and Voltage measure pattern
