Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI.

Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI.
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DOI:
10.1016/j.neuroimage.2013.08.067
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发表时间:
2014-01-01
期刊:
影响因子:
5.7
通讯作者:
Yushkevich PA
Yushkevich PA
中科院分区:
医学1区
文献类型:
--
作者:
Adler DH;Pluta J;Kadivar S;Craige C;Gee JC;Avants BB;Yushkevich PA

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最近,已经有越来越多的努力来分析海马亚场的形态计量学使用在体内和死后的磁共振成像(MRI)。然而,鉴于海马结构(HF)的子区域之间的边界通常是根据显微镜特征定义的,而这些特征在MRI中往往缺乏可辨别的特征,MRI文献中的子区域划分在很大程度上依赖于启发式几何规则,其相对于基础解剖结构的有效性在很大程度上是未知的。这些规则的开发和评价受到将MRI外观与显微海马解剖结构(特别是三维(3D))联系起来的数据有限的挑战。本论文,第一次,证明了标记海马子字段在高分辨率的体积MRI数据集的基础上直接从组织学提取的显微特征的可行性。它使用计算技术和手动后处理的组合,将来自一叠组织学图像(以200 μm间距和5 μm切片厚度获得;使用Kluver-Barrera方法染色)的子域边界映射到以160 μm各向同性分辨率获得的完整海马结构的尸检9.4 T MRI扫描上。组织学重建程序包括顺序应用图论切片堆叠算法,该算法可减轻扭曲切片的影响,然后迭代仿射和同构配准到以200 μm各向同性分辨率采集的约1 cm厚组织子块的死后MRI扫描。随后将这些1 cm的块与整个HF的MRI共配准。重建准确性被评价为在重建的顺序阶段之后在组织学和MRI中手动描绘的边界之间的平均位移误差。在这个单一的主题研究中提出和评估的方法可以潜在地应用于多个海马组织样本,以构建海马结构的组织学信息的MRI图谱。
Recently, there has been a growing effort to analyze the morphometry of hippocampal subfields using both in vivo and postmortem magnetic resonance imaging (MRI). However, given that boundaries between subregions of the hippocampal formation (HF) are conventionally defined on the basis of microscopic features that often lack discernible signature in MRI, subfield delineation in MRI literature has largely relied on heuristic geometric rules, the validity of which with respect to the underlying anatomy is largely unknown. The development and evaluation of such rules is challenged by the limited availability of data linking MRI appearance to microscopic hippocampal anatomy, particularly in three dimensions (3D). The present paper, for the first time, demonstrates the feasibility of labeling hippocampal subfields in a high resolution volumetric MRI dataset based directly on microscopic features extracted from histology. It uses a combination of computational techniques and manual post-processing to map subfield boundaries from a stack of histology images (obtained with 200 μm spacing and 5 μm slice thickness; stained using the Kluver-Barrera method) onto a postmortem 9.4 Tesla MRI scan of the intact, whole hippocampal formation acquired with 160 μm isotropic resolution. The histology reconstruction procedure consists of sequential application of a graph-theoretic slice stacking algorithm that mitigates the effects of distorted slices, followed by iterative affine and diffeomorphic co-registration to postmortem MRI scans of approximately 1 cm-thick tissue sub-blocks acquired with 200 μm isotropic resolution. These 1 cm blocks are subsequently co-registered to the MRI of the whole HF. Reconstruction accuracy is evaluated as the average displacement error between boundaries manually delineated in both the histology and MRI following the sequential stages of reconstruction. The methods presented and evaluated in this single-subject study can potentially be applied to multiple hippocampal tissue samples in order to construct a histologically informed MRI atlas of the hippocampal formation.
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