A Scalable Toolkit for Modeling 3D Surface-Based Brain Geometry

基于3D表面的计算图谱比传统的总体积分析方法更能敏感地检测神经、发育和精神科条件下的局部脑部改变，能够提供广泛表面特征的精细尺度3D图谱。本文介绍了一套可扩展的大规模计算表面分析工具包，包含多站点数据集成、统计调和、加速多元统计和可视化的高效算法。我们通过映射来自ENIGMA双相情感障碍工作组（N=3,373）的21个国际样本的皮质下形状变异及其影响因素，展示了该工具包的实用性。

Keyword:

3D Surface Geometry

Brain Morphometrics

Big Data

Visualization

Machine Learning

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SHAPE IN MEDICAL IMAGING, SHAPEMI 2025

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