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Building a Surface Atlas of Hippocampal Subfields from MRI Scans using FreeSurfer, FIRST and SPHARM

机译:使用FreeSurfer,FIRST和SPHARM通过MRI扫描建立海马亚区的表面图集

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摘要

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:考虑到海马在学习和记忆中的重要性以及其作为诸如阿尔茨海默氏病和癫痫症等脑部疾病的生物标志物的潜力,海马已经被神经影像技术广泛研究。但是,其复杂的折叠解剖结构经常带来分析挑战。特别是,在详细的形态计量学研究中,海马配准通常忽略了关键的海马亚区信息。因此,这种方法不足以准确地表征海马形态,并不能有效地识别与不同情况有关的海马结构变化。为了弥合这一差距,我们介绍了我们为建立子场引导的海马形态测量的计算框架所做的初步努力。最初的工作集中在基于表面的形态学上,旨在建立海马亚区的表面图谱。使用FreeSurfer软件包,我们可以获得有价值的海马亚领域信息。使用FIRST软件包,我们可以提取可靠的海马表面信息。使用SPHARM,我们开发了一种通过将内插子场信息映射到平均曲面上来创建图集的方法。使用ADNI数据的经验结果证明了该方法的前景和良好的可重复性。

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