Magnetic Particle Imaging (MPI)
magnetic_particle
Experimental Science
Magnetic
Forward-Model Signal Chain
Each primitive represents a physical operation in the measurement process. Arrows show signal flow left to right.
Spec Notation
M → F → D
Benchmark Variants & Leaderboards
Magnetic Particle Imaging (MPI)
Magnetic Particle Imaging (MPI)
Spec Notation
M → F → D
Standard Leaderboard (Top 10)
| # | Method | Score | PSNR (dB) | SSIM | Trust | Source |
|---|---|---|---|---|---|---|
| 🥇 | SwinIR | 0.789 | 34.1 | 0.942 | ✓ Certified | Liang et al., ICCVW 2021 |
| 🥈 | ScoreExperimental | 0.787 | 33.54 | 0.957 | ✓ Certified | Wei et al., 2025 |
| 🥉 | ExpFormer | 0.760 | 32.23 | 0.945 | ✓ Certified | Experimental science transformer, 2024 |
| 4 | Domain-Adapted-CNN | 0.758 | 32.16 | 0.944 | ✓ Certified | Domain adaptation CNN |
| 5 | ResUNet | 0.751 | 32.6 | 0.915 | ✓ Certified | Residual U-Net baseline |
| 6 | DiffusionExperimental | 0.723 | 30.6 | 0.926 | ✓ Certified | Zhang et al., 2024 |
| 7 | PnP-ADMM | 0.698 | 29.57 | 0.910 | ✓ Certified | ADMM + denoiser prior |
| 8 | PnP-RED | 0.649 | 28.9 | 0.835 | ✓ Certified | Romano et al., IEEE TIP 2017 |
| 9 | Wiener Filter | 0.640 | 27.39 | 0.867 | ✓ Certified | Wiener filtering baseline |
| 10 | Matched Filter | 0.556 | 24.65 | 0.791 | ✓ Certified | Optimal linear filter |
Showing top 10 of 11 methods. View all →
Mismatch Parameters (4) click to expand
| Name | Symbol | Description | Nominal | Perturbed |
|---|---|---|---|---|
| drive_field_amplitude | d_f | Drive field amplitude (mT) | 25.0 | 25.6 |
| selection_field_gradient | s_f | Selection field gradient (T/m) | 2.5 | 2.6 |
| particle_relaxation_time | p_r | Particle relaxation time (us) | 2.0 | 2.2 |
| receive_coil_sensitivity | r_c | Receive coil sensitivity (-) | 1.0 | 1.03 |