Fig. 1.
OT system.
Fig. 2.
Tomography system and optical sensor. (a) Tomography system. (b) Optical sensor.
Fig. 3.
Geometry of one laser beam through the tomography field.
Fig. 4.
Mesh grid, beam arrangement, and sensitive map. (a) Mesh grid. (b) Beam arrangement. (c) Sensitive field.
Fig. 5.
Main structure of RESE-CNN.
Fig. 6.
Substructure of the blocks. (a) Block in down sampling module. (b) Block in up sampling module.
Fig. 7.
Structure of the SE attention.
Fig. 8.
Simulated absorption coefficient distributions and reconstruction results in a 128 × 128 pixel grid.
Table 1.
Average RE and CC of different methods.
| Method | Average RE | Average CC |
|---|---|---|
| LBP | 0.9152 | 0.4656 |
| Landweber | 0.6727 | 0.7256 |
| U-Net | 0.3575 | 0.9341 |
| RE-CNN | 0.2164 | 0.9772 |
| RESE-CNN | 0.1873 | 0.9776 |
Fig. 9.
Results of one-bubble distribution in a 128 × 128 pixel grid.
Fig. 10.
Results of two-bubble distribution in a 128 × 128 pixel grid.
Fig. 11.
Results of three-bubble distribution in a 128 × 128 pixel grid.
Fig. 12.
Results of four-bubble distribution in a 128 × 128 pixel grid.
Fig. 13.
Comparison between the results of traditional algorithms and sensitive field.
Fig. 14.
RE and CC of different distributions.
Table 2.
Reconstruction time of different methods.
| Method | Average reconstruction time (s) |
|---|---|
| LBP | 3.796 × 10−5 |
| Landweber | 2.846 |
| U-Net | 7.627 × 10−3 |
| RESE-CNN | 7.687 × 10−3 |
Fig. 15.
Results of the experiments.