We develop electrical tomography — ECT, ERT, EIT and EMT — from sensing hardware and high-speed data-acquisition systems to image reconstruction algorithms, for industrial multiphase-flow measurement and biomedical impedance imaging.
Electrical tomography reconstructs the interior distribution of electrical properties of a process from boundary measurements — non-intrusive, fast, and low-cost.
Design of ECT / ERT / EIT / EMT sensor arrays and high-performance digital data-acquisition systems based on FPGA platforms.
Reconstruction algorithms from classical linear back-projection and regularized inversion to deep-learning approaches such as GANs.
Phase distribution, flow-regime identification and velocity measurement in gas–solid, gas–liquid and oil–water flows, including dual-modality ERT/ECT.
Electrical impedance tomography for lung monitoring and biomedical applications, with regularization tailored to chest imaging.
Browser-based finite-element solvers developed by the group — no installation required.
Finite-element forward solver for electrical capacitance tomography: define sensor geometry and permittivity distribution, compute inter-electrode capacitances.
Launch solver →Finite-element forward solver for electrical resistance tomography: electrode excitation, conductive domain modeling, and boundary-voltage computation.
Launch solver →