Research Article
Sparse Regularization-Based Reconstruction for Bioluminescence Tomography Using a Multilevel Adaptive Finite Element Method
Table 1
Reconstruction results in single source case on different mesh levels.
| Mesh level | Regular. method | Number of nodes | Location center | Error (mm) | Density (nW/mm3) | RE of density | Recon. power (nW) | RE of power |
| 1 | | 3623 | 9.42,1.24,15.02 | 0.25 | 0.0434 | 95.66% | 0.3315 | 36.69% | | 3623 | 9.43,−0.16,14.55 | 1.24 | 0.0418 | 95.82% | 0.2896 | 44.69% | 2 | | 3924 | 9.42,1.24,15.02 | 0.25 | 0.0942 | 90.58% | 0.4515 | 13.77% | | 3960 | 9.18,0.43,15.26 | 0.70 | 0.0522 | 94.78% | 0.3396 | 35.14% | 3 | | 4242 | 9.42,1.24,15.02 | 0.25 | 0.3105 | 68.95% | 0.4537 | 13.35% | | 4435 | 9.83,0.96,15.42 | 0.54 | 0.1227 | 87.73% | 0.4185 | 20.07% | 4 | | 4910 | 9.42,1.24,15.02 | 0.25 | 1.0056 | 5.6% | 0.4663 | 10.94% | | 5232 | 9.40,0.54,15.26 | 0.54 | 0.3739 | 62.61% | 0.3700 | 29.34% |
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