RESEARCH PAPER
Reliable 3D EIT reconstruction for masonry condition monitoring using conditional diffusion and cascaded FEM-space refinement
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1
Lublin University of Technology, Poland
2
Wrocław University of Science and Technology, Poland
4
WSEI University, Poland
A – Conceptualization; B – Methodology; C – Software; D – Validation; E – Formal analysis; F – Investigation; G – Resources; H – Data curation; I – Writing – original draft; J – Writing – review & editing; K – Visualization; L – Supervision; M – Project administration; N – Funding acquisition
Submission date: 2026-07-29
Final revision date: 2026-09-20
Acceptance date: 2026-10-29
Online publication date: 2026-11-13
Corresponding author
Monika Kulisz
Lublin University of Technology, Nadbystrzycka 38, 20-618, Lublin, Poland
HIGHLIGHTS
- cDDPM-SFR pipeline combines conditional diffusion with cascaded FEM-space refinement
- A conditional diffusion model reconstructs global 3D conductivity patterns
- Consensus reconstruction limits acquisition-specific variation in real EIT data
KEYWORDS
TOPICS
ABSTRACT
Three-dimensional electrical impedance tomography (EIT) reconstruction of moisture-related conductivity in masonry requires preservation of both global structure and local finite-element variations. This study proposes a conditional denoising diffusion probabilistic model with cascaded FEM-space residual refiners (cDDPM-SFR). A 448-component voltage vector conditions a 3D U-Net on a 16 × 16 × 16 voxel grid, followed by three multilayer perceptron (MLP) stages producing 3050 outputs. Training used 49,000 synthetic cases and evaluation 1,000. Compared with MLP, mean squared error (MSE) decreased from 0.119 to 0.048, peak signal-to-noise ratio (PSNR) rose from 21.692 to 26.961 dB, structural similarity index (SSIM) from 0.978 to 0.992, and Pearson correlation coefficient from 0.981 to 0.992 (Holm-adjusted p < 0.001). Four field acquisitions showed correlations of 0.196–0.935 and mean median absolute deviation of 0.689. Independent dielectric profiles and the EIT surface proxy identified the same moisture-related zone near 360 cm, supporting physical plausibility.
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