Multimodal cross-registration and quantification of metric distortions in marmoset whole brain histology using diffeomorphic mappings.

Multimodal cross-registration and quantification of metric distortions in marmoset whole brain histology using diffeomorphic mappings.
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使用双态映射的绒猴全脑组织学中度量失真的多模态交叉配准和量化。

DOI:
10.1002/cne.24946
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发表时间:
2021-03
期刊:
The Journal of comparative neurology
影响因子:
--
通讯作者:
Mitra PP
Mitra PP
中科院分区:
其他
文献类型:
--
作者:
Lee BC;Lin MK;Fu Y;Hata J;Miller MI;Mitra PP

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全脑神经解剖学使用兆像素光显微镜数据集是当前的兴趣。该领域的一个基本问题是将个体大脑数据集映射到参考空间。以前的工作还没有严格量化的组织处理在大脑的几何形状从体内到体外的扭曲。此外,现有的方法集中在注册单峰体积数据,然而,鉴于越来越多的兴趣在绒猴模型神经科学研究和解决个人的大脑结构变化的重要性,新的算法是必要的交叉注册多模态数据集,包括MRI和多个组织学系列。在这里,我们提出了一种计算方法,用于同一主题的多模态MRI引导重建的一系列连续的组织切片,结合到一个参考图谱的几何形态映射。我们量化的尺度变化在不同阶段的脑组织学处理使用雅可比行列式的非对称变换。通过将最终图像堆栈映射到离体固定后MRI,我们表明a)胶带转移辅助的组织切片可以准确地重新组装成3D体积,每个轴尺寸的局部尺度变化为2.0±0.4%;与此相反,B)通过将体内MRI映射到离体MRI来评估的组织灌注/固定。体内固定后MRI显示每个轴尺寸的中位绝对尺度变化较大,为6.9 ± 2.1%。这是第一次系统地量化与全脑组织学处理相关的局部度量失真,我们预计结果将推广到其他物种。这些局部尺度变化对于计算局部属性以创建参考脑图将是重要的。在本文中,我们提出了一种方法,引导体积重建连续切片动物脑组织配准精度的评估。使用源自组织形态学的方法,我们量化了组织学组织处理流程中两个步骤引起的3D失真:1)胶带转移辅助组织学切片的重新组装和2)组织灌注和固定。
Whole brain neuroanatomy using tera-voxel light-microscopic data sets is of much current interest. A fundamental problem in this field is the mapping of individual brain datasets to a reference space. Previous work has not rigorously quantified in-vivo to ex-vivo distortions in brain geometry from tissue processing. Further, existing approaches focus on registering uni-modal volumetric data; however, given the increasing interest in the marmoset model for neuroscience research and the importance of addressing individual brain architecture variations, new algorithms are necessary to cross-register multimodal datasets including MRIs and multiple histological series. Here we present a computational approach for same-subject multimodal MRI-guided reconstruction of a series of consecutive histological sections, jointly with diffeomorphic mapping to a reference atlas. We quantify the scale change during different stages of brain histological processing using the Jacobian determinant of the diffeomorphic transformations involved. By mapping the final image stacks to the ex-vivo post-fixation MRI, we show that a) tape-transfer assisted histological sections can be re-assembled accurately into 3D volumes with a local scale change of 2.0±0.4% per axis dimension; in contrast, b) tissue perfusion/fixation as assessed by mapping the in-vivo MRIs to the ex-vivo post fixation MRIs shows a larger median absolute scale change of 6.9 ± 2.1% per axis dimension. This is the first systematic quantification of local metric distortions associated with whole-brain histological processing, and we expect that the results will generalize to other species. These local scale changes will be important for computing local properties to create reference brain maps. In this paper, we present methods for guided volume reconstruction of serial section animal brain histology with an evaluation of registration accuracy. Using methods derived from diffeomorphometry, we quantify the 3D distortion caused by two steps in the histology tissue processing pipeline: 1) reassembly of tape-transfer assisted histology sections and 2) tissue perfusion and fixation.
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