The Australian Mouse Brain Mapping Consortium, The University of Queensland, Brisbane, Australia.
J Neurosci Methods. 2012 Nov 15;211(2):210-7. doi: 10.1016/j.jneumeth.2012.08.021. Epub 2012 Sep 7.
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.
本文提出了一种基于磁共振图像(MRI)引导的组织学切片对小鼠大脑进行三维重建的方法。该方法的一个主要关注点是处理由于组织学处理而导致解剖结构分离或变形的切片。尽管组织学具有出色的分辨率,能够区分细胞类型和解剖结构,但由于切片之间的不对准和切片内的变形,仅通过堆叠 2D 切片来重建组织学体积是不够的。相比之下,MRI 以牺牲细胞细节为代价保留了关于结构的空间和几何信息。为了在重建体积组织学数据时利用 MRI 的信息,我们开发了一个由一系列分割和配准操作组成的过程。该方法是迭代的,首先为每个组织学切片确定相应的 MRI 切片。然后采用分段刚性配准来处理由组织学处理引起的组织变形。通过在 MRI 和组织学体积的一对中比较一组手动选择的解剖学标志,对四个重建的小鼠大脑进行了方法准确性的定量验证。该过程高度自动化,适用于高通量。