MRI-guided volume reconstruction of mouse brain from histological sections

被引:32
|
作者
Yang, Zhengyi [2 ]
Richards, Kay [2 ,3 ]
Kurniawan, Nyoman D. [2 ]
Petrou, Steven [2 ,3 ,4 ]
Reutens, David C. [1 ,2 ]
机构
[1] Univ Queensland, Ctr Adv Imaging, Gehrmann Lab, St Lucia, Qld 4072, Australia
[2] Univ Queensland, Australian Mouse Brain Mapping Consortium, Brisbane, Qld, Australia
[3] Florey Neurosci Inst, Parkville, Vic, Australia
[4] Univ Melbourne, Ctr Neurosci, Parkville, Vic 3052, Australia
基金
英国医学研究理事会;
关键词
Histology reconstruction; Magnetic resonance image; Piecewise rigid registration; IN-VIVO MRI; IMAGE REGISTRATION; MUTUAL INFORMATION; ATLAS; TRANSFORMATIONS; AUTORADIOGRAPHS; SLICES; SERIES; 2-D;
D O I
10.1016/j.jneumeth.2012.08.021
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A method is presented for three-dimensional reconstruction of the mouse brain from histological sections with the guidance of magnetic resonance images (MRI). A major focus of the method is dealing with sections in which anatomical structures have been separated or distorted as a result of histological processing. Although histology has superb resolution with the ability to discriminate cell types and anatomical structures, misalignment between sections and distortion within sections renders 3D reconstruction of the histology volume simply by stacking 2D sections inadequate. In contrast, MRI preserves the spatial and geometric information about structures at a cost of cellular detail. To utilize the information from MRI in reconstructing volumetric histological data, we developed a procedure consisting of a series of segmentation and registration operations. The method is iterative and first identifies the corresponding MRI slices for each histological section. Piecewise rigid registration is then employed to deal with tissue distortion caused by histological processing. Quantitative validation of the method's accuracy was performed on four reconstructed mouse brains by comparing a set of manually selected anatomical landmarks on pairs of MRI and histological volumes. The procedure is highly automated and amenable to high throughput. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:210 / 217
页数:8
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