Table 4.
Large Training (15 blocks = 3 methods × 5 data points) | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FBP_1* | OS-EM_1 | MAP_1 | OS-EM_3 | FBP_3 | FBP_5 | MAP_3 | OS-EM_5 | FBP_2 | OS-EM_2 | MAP_5 | OS-EM_4 | MAP_2 | FBP_4 | MAP_4 | Total | |
Number of Images** |
30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 450 |
Observation Time (min.) |
5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 83 |
“method_datapoint” (example : FBP_1 = images reconstructed with FBP method at data-point #1)