## 3 Results
\begin{table}
\begin{tabular}{l c c c c c c c} \hline \hline \multicolumn{3}{c}{**T1-MPRAGE**} & \multicolumn{4}{c}{**T2-FLAIR**} \\ \hline \multicolumn{3}{c}{**Brain Extraction Pipeline**} & \multicolumn{3}{c}{**DSC**} & \multicolumn{3}{c}{**Brain Extraction Pipeline**} & \multicolumn{2}{c}{**DSC**} \\ \multicolumn{1}{c}{**Ex. Config.**} & \multicolumn{1}{c}{**IP Procedure**} & \multicolumn{1}{c}{**Mean**} & \multicolumn{1}{c}{**SD**} & \multicolumn{1}{c}{**Ex. Config.**} & \multicolumn{1}{c}{**IP Procedure**} & \multicolumn{1}{c}{**Mean**} & \multicolumn{1}{c}{**SD**} \\ \hline optiBET & N3 iter = 1 & 0.9780 & 0.0259 & optiBET & N3 iter = 4 & 0.9557 & 0.0544 \\ optiBET & - & 0.9779 & 0.0455 & optiBET & N3 iter = 1 & 0.9525 & 0.0676 \\ optiBET & WS m = BET 1 f0.8 & 0.9769 & 0.0488 & optiBET & ZS iter = 4 & 0.9475 & 0.0845 \\ optiBET & ZS iter = 1 & 0.9766 & 0.0447 & optiBET & - & 0.9471 & 0.0882 \\ optiBET & ZS m = BET 1 f0.8 & 0.9766 & 0.0471 & optiBET & ZS iter = 1 & 0.9470 & 0.0874 \\ optiBET & WS m = BET 1 f0.5 & 0.9766 & 0.0454 & optiBET & WS m = BET 1 f0.8 & 0.9438 & 0.0926 \\ optiBET & ZS iter = 4 & 0.9763 & 0.0462 & optiBET & ZS m = BET 1 f0.8 & 0.9427 & 0.0944 \\ optiBET & ZS m = BET 1 f0.1 & 0.9762 & 0.0450 & optiBET & WS m = BET 1 f0.5 & 0.9410 & 0.1025 \\ optiBET & KDE m = BET 1 f0.5 & 0.9761 & 0.0459 & optiBET & KDE m = BET 1 f0.5 & 0.9409 & 0.1049 \\ optiBET & N3 iter = 4 & 0.9759 & 0.0265 & optiBET & WS m = BET 1 f0.8 & 0.9409 & 0.1030 \\ optiBET & KDE m = BET 1 f0.1 & 0.9759 & 0.0460 & optiBET & KDE m = BET 1 f0.8 & 0.9408 & 0.1052 \\ optiBET & ZS m = BET 1 f0.5 & 0.9739 & 0.0545 & optiBET & ZS m = BET 1 f0.1 & 0.9408 & 0.1025 \\ optiBET & KDE m = BET 1 f0.8 & 0.9711 & 0.0668 & optiBET & KDE m = BET 1 f0.1 & 0.9407 & 0.1057 \\ optiBET & WS m = BET 1 f0.1 & 0.9690 & 0.0988 & optiBET & ZS m = BET 1 f0.5 & 0.9404 & 0.1040 \\ BET 1 R & N3 iter = 1 & 0.9391 & 0.0299 & BET 1 f0.2 & g0.3 & N3 iter = 4 & 0.9384 & 0.0249 \\ BET 1 R & N3 iter = 4 & 0.9383 & 0.0466 & BET 1 R & N3 iter = 1 & 0.9343 & 0.0493 \\ BET 1 B & N3 iter = 4 & 0.9382 & 0.0314 & BET 1 f0.1 & N3 iter = 4 & 0.9342 & 0.0293 \\ BET 1 B & WS m = BET 1 f0.1 & 0.9368 & 0.0363 & BET 1 f0.2 & g0.3 & N3 iter = 1 & 0.9333 & 0.0474 \\ BET 1 R & N3 iter = 1 & 0.9352 & 0.0480 & BET 1 R & KDE m = BET 1 f0.1 & 0.9324 & 0.0458 \\ BET 1 B & WS m = BET 1 f0.8 & 0.9325 & 0.0652 & BET 1 R & KDE m = BET 1 f0.5 & 0.9322 & 0.0460 \\ BET 1 B & ZS m = BET 1 f0.8 & 0.9317 & 0.0389 & BET 1 R & KDE m = BET 1 f0.8 & 0.9320 & 0.0464 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: A ranked table of all 154 brain extraction pipelines by mean DSC scores for T1-MPRAGE and T2-FLAIR MRIs. Pipelines consist of an IP procedure from Table 2 and an Ex. Config. (extraction configuration) from Table 1. Pipelines at the top of the table are closer to DSC = 1, meaning they exhibit higher overlap with the gold standard and are considered more accurate. The SD columns report the standard deviation in DSC scores for each pipeline. Additionally, Figure 1 can be used to help visualize and compare brain extraction quality represented by different DSC scores. \begin{table}
\begin{tabular}{l c c c c c c c c} \hline \hline \multicolumn{6}{c}{**T1-MPRAGE**} & \multicolumn{6}{c}{**T2-FLAIR**} \\ \hline \multicolumn{6}{c}{**Brain Extraction Pipeline**} & \multicolumn{2}{c}{**DSC**} & \multicolumn{2}{c}{**Brain Extraction Pipeline**} & \multicolumn{2}{c}{**DSC**} \\ \multicolumn{6}{c}{**Ex. Config. **} & \multicolumn{2}{c}{**IP Procedure**} & \multicolumn{2}{c}{**Mean**} & \multicolumn{2}{c}{**SD**} & \multicolumn{2}{c}{**Ex. Config.