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 centerError
(mm)
Density
(nW/mm3)
RE of
density
Recon.
power (nW)
RE of
power

1 𝑙 1 36239.42,1.24,15.020.250.043495.66%0.331536.69%
𝑙 2 36239.43,−0.16,14.551.240.041895.82%0.289644.69%
2 𝑙 1 39249.42,1.24,15.020.250.094290.58%0.451513.77%
𝑙 2 39609.18,0.43,15.260.700.052294.78%0.339635.14%
3 𝑙 1 42429.42,1.24,15.020.250.310568.95%0.453713.35%
𝑙 2 44359.83,0.96,15.420.540.122787.73%0.418520.07%
4 𝑙 1 49109.42,1.24,15.020.251.00565.6%0.466310.94%
𝑙 2 52329.40,0.54,15.260.540.373962.61%0.370029.34%