From: SLIC-Occ: functional segmentation of occupancy images improves precision of EC50 images
EC50 (ng/mL) | CV(EC50) | Computation time (min) | |||||
---|---|---|---|---|---|---|---|
Caudate | Putamen | Whole brain | Caudate | Putamen | Whole brain | ||
Phantom data | |||||||
Ground truth | 25.00 ± 0.00 | 50.00 ± 0.00 | 8.13 ± 3.83 | – | – | – | |
Voxel-level | 26.2 ± 10.47 | 55.25 ± 21.94 | 8.46 ± 5.27 | 0.23 ± 0.08 | 0.22 ± 0.10 | 0.20 ± 0.06 | ~ 120# |
Cluster-level | 19.92 ± 5.57 | 41.28 ± 4.97 | 8.03 ± 3.08 | 0.03 ± 0.01 | 0.04 ± 0.01 | 0.02 ± 0.01 | ~ 4–8* |
Human occupancy study data | |||||||
Voxel-level | – | – | 10.75 ± 8.48 | – | – | 0.27 ± 0.27 | |
Cluster-level | – | – | 9.64 ± 6.03 | – | – | 0.18 ± 0.12 |