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Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM

机译:使用FreeSurfer,第一和Spharm从MRI扫描构建海马子场的表面图谱

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The hippocampus is widely studied with neuroimaging techniques given its importance in learning and memory and its potential as a biomarker for brain disorders such as Alzheimer's disease and epilepsy. However, its complex folding anatomy often presents analytical challenges. In particular, the critical hippocampal subfield information is usually ignored by hippocampal registration in detailed morphometric studies. Such an approach is thus inadequate to accurately characterize hippocampal morphometry and effectively identify hippocampal structural changes related to different conditions. To bridge this gap, we present our initial effort towards building a computational framework for subfield-guided hippocampal morphometry. This initial effort is focused on surface-based morphometry and aims to build a surface atlas of hippocampal subfields. Using the FreeSurfer software package, we obtain valuable hippocampal subfield information. Using the FIRST software package, we extract reliable hippocampal surface information. Using SPHARM, we develop an approach to create an atlas by mapping interpolated subfield information onto an average surface. The empirical result using ADNI data demonstrates the promise and good reproducibility of the proposed method.
机译:鉴于其在学习和记忆的重要性以及其作为脑疾病等脑疾病和癫痫的脑病等生物标志物的潜力,海马被广泛研究了神经影像蛋白。然而,其复杂的折叠解剖学通常会提出分析挑战。特别地,在详细的形态学研究中通常通过海马登记忽略关键海马子场信息。因此,这种方法不足以精确地表征海马形态学,并有效地识别与不同条件相关的海马结构变化。为了弥补这一差距,我们展示了对构建子场引导海马形态学的计算框架的最初努力。这种初步努力集中在基于表面的形态学,并旨在构建海马子场的表面图谱。使用FreeSurfer软件包,我们获得了有价值的海马子场信息。使用第一个软件包,我们提取可靠的海马表面信息。使用SpHARM,我们通过将内插子字段信息映射到平均表面来开发一种方法来创建图表。使用ADNI数据的经验结果展示了所提出的方法的承诺和良好的再现性。

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