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:
影响因子:
--
通讯作者:
Mitra PP
中科院分区:
文献类型:
--
作者:
Lee BC;Lin MK;Fu Y;Hata J;Miller MI;Mitra PP
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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影响因子:
3
作者:
Dauguet, Julien;Delzescaux, Thieffy;Frouin, Vincent
通讯作者:
Frouin, Vincent
DOI:
10.1023/b:visi.0000043755.93987.aa
发表时间:
2005-02-01
影响因子:
19.5
作者:
Beg, MF;Miller, MI;Younes, L
通讯作者:
Younes, L
影响因子:
10.6
作者:
Christensen, GE;Joshi, SC;Miller, MI
通讯作者:
Miller, MI
影响因子:
1.3
作者:
BAJCSY, R;LIEBERSON, R;REIVICH, M
通讯作者:
REIVICH, M
影响因子:
3.5
作者:
Bookstein, FL
通讯作者:
Bookstein, FL