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. 2021 Mar 17;15:650082. doi: 10.3389/fnins.2021.650082

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Copyright © 2021 Liu, Lepage, Kim, Jeon, Kim, Simon, Tanaka, Yuan, Islam, Peng, Arutyunyan, Surento, Kim, Jahanshad, Styner, Toga, Barkovich, Xu, Evans and Kim.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Examples of surface validation points (landmarks) placed on the WM/GM boundary and the GM/CSF boundary of a randomly selected T1 weighted image from the dHCP dataset. Left: Surface validation points from the WM surface are shown along with the dHCP and our WM surface reconstruction solutions; Middle: Validation points from the pial surface are shown along with the dHCP and our pial surface reconstruction solutions. Right: Pial surface were mapped to same MRI slice from the dHCP dataset as shown in middle panel but with T2 modality. Note that the dHCP surfaces are extracted on T2 weighted images that may estimate CSF partial volume and pial surface differently. The dHCP surfaces are indeed observed to fit better the pial boundaries found on T2 weighted images than those on T1 weighted.