CDEIT, a diffusion model that denoises conductivity images conditioned on boundary voltages, outperforms prior EIT reconstruction methods on clean simulated data and transfers to real data via a voltage-current normalization.
Stimulation and measurement patterns versus prior information for fast 3d eit: a breast screening case study,
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A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction
CDEIT, a diffusion model that denoises conductivity images conditioned on boundary voltages, outperforms prior EIT reconstruction methods on clean simulated data and transfers to real data via a voltage-current normalization.