Table 1. Optimization results ordered by median mismatch.
| Algorithm | Opt | Transf | Mask | Mismatch (SS) | % acc ↑ |
| BET | Bf | NL | M152 1 mm | 108,506.00 | . |
| BET | Bf | NL | A152 | 108,947.50 | 0.41% |
| BET | Bf | NL | M152 2 mm | 109,397.00 | 0.81% |
| RBX | . | NL | M152 1 mm | 109,660.50 | 1.05% |
| RBX | . | NL | A152 | 110,626.50 | 1.92% |
| RBX | . | NL | M152 2 mm | 111,157.50 | 2.39% |
| BET | B | NL | M152 1 mm | 113,393.00 | 4.31% |
| BET | B | NL | A152 | 114,210.00 | 4.99% |
| BET | B | NL | M152 2 mm | 114,542.50 | 5.27% |
| 3dSS | us | NL | M152 1 mm | 115,452.00 | 6.02% |
| 3dSS | us | NL | A152 | 116,407.00 | 6.79% |
| 3dSS | us | NL | M152 2 mm | 116,654.00 | 6.98% |
| 3dSS | . | NL | M152 1 mm | 119,013.50 | 8.83% |
| 3dSS | . | NL | A152 | 119,082.50 | 8.88% |
| 3dSS | . | NL | M152 2 mm | 119,337.00 | 9.08% |
| RBX | . | L | M152 1 mm | 145,342.50 | 25.34% |
| 3dSS | us | L | M152 1 mm | 154,806.00 | 29.91% |
| 3dSS | . | L | M152 1 mm | 156,422.50 | 30.63% |
| RBX | . | L | A152 | 168,392.50 | 35.56% |
| RBX | . | L | M152 2 mm | 168,983.00 | 35.79% |
| 3dSS | us | L | A152 | 169,736.50 | 36.07% |
| 3dSS | . | L | A152 | 170,308.00 | 36.29% |
| 3dSS | us | L | M152 2 mm | 170,364.50 | 36.31% |
| 3dSS | . | L | M152 2 mm | 170,841.00 | 36.49% |
| BET | B | L | A152 | 177,683.00 | 38.93% |
| BET | B | L | M152 2 mm | 178,421.00 | 39.19% |
| BET | B | L | M152 1 mm | 182,033.00 | 40.39% |
| BET | Bf | L | M152 1 mm | 235,723.00 | 53.97% |
| BET | Bf | L | A152 | 279,380.00 | 61.16% |
| BET | Bf | L | M152 2 mm | 280,047.00 | 61.25% |
| BET | S | NL | A152 | 1,441,469.00 | 92.47% |
| BET | S | NL | M152 1 mm | 1,441,791.00 | 92.47% |
| BET | S | NL | M152 2 mm | 1,442,392.00 | 92.48% |
| BET | . | NL | A152 | 1,455,430.50 | 92.54% |
| BET | . | NL | M152 1 mm | 1,456,206.50 | 92.55% |
| BET | . | NL | M152 2 mm | 1,456,223.00 | 92.55% |
| BET | R | NL | A152 | 1,546,753.00 | 92.98% |
| BET | R | NL | M152 1 mm | 1,546,921.50 | 92.99% |
| BET | R | NL | M152 2 mm | 1,547,395.50 | 92.99% |
| BET | S | L | M152 1 mm | 1,818,280.00 | 94.03% |
| BET | . | L | M152 1 mm | 1,836,867.50 | 94.09% |
| BET | S | L | A152 | 1,872,161.00 | 94.20% |
| BET | S | L | M152 2 mm | 1,873,378.50 | 94.21% |
| BET | . | L | A152 | 1,886,844.50 | 94.25% |
| BET | . | L | M152 2 mm | 1,888,055.50 | 94.25% |
| BET | R | L | M152 1 mm | 2,014,282.00 | 94.61% |
| BET | R | L | A152 | 2,045,059.00 | 94.69% |
| BET | R | L | M152 2 mm | 2,045,418.50 | 94.70% |
(Mismatch is expressed in sum of squares; ‘Opt.’ indicates which options were used for each algorithm – if any; ‘RBX:’ Robex; ‘3dSS:’ 3dSkullStrip; ‘us’ indicates ‘use-skull’ option; ‘.’ indicates no option employed; ‘NL’ indicates linear plus non-linear transformation; ‘L’ indicates linear transformation only; ‘% acc ↑’ indicates the percent increase in extraction accuracy afforded by the best pipeline as compared to each assessed pipeline; ‘M152’ indicates MNI152 brain-only mask; ‘A152’ indicates Average 152 mask).