Table 2.
Comparing registration performance by the average registration error, RMSE, Pearson correlation, and AIC for the first 20 subjects across all the visual areas defined by the template
Method | Flip ratio % | RMSE | AIC | Time/s | |||
---|---|---|---|---|---|---|---|
MSMALL | 2.59598 | 0 | 0.00 | 1.19358 | 938.649 | 0.232 | 0.00 |
TPSa | 2.85074 | 0 | 0.00 | 1.20956 | 939.906 | 0.200 | 1.99 |
Benson’s method | 2.69152 | 352 | 2.98 | 1.19656 | 940.354 | 0.226 | 4.83 |
Benson’s maps | 2.49742 | – | – | 1.19708 | 938.653 | 0.252 | – |
D-Demos | 2.62774 | 0 | 0.00 | 1.19565 | 938.888 | 0.229 | 3.43 |
DRRM | 2.29358 | 0 | 0.00 | 1.17350 | 940.004 | 0.257 | 7.73 |
Landmarks/anchors were provided for methods marked with “a”.
Benson’s method results were evaluated based on the output of our custom call of Benson’s public library (Benson 2019). Benson’s maps are evaluated based on its publicly available output (Benson et al. 2022)
Bold indicates the best performance value in the compared methods