Shojaii Rushin, Bacopulos Stephanie, Yang Wenyi, Karavardanyan Tigran, Spyropoulos Demetri, Raouf Afshin, Martel Anne, Seth Arun
Department of Medical Biophysics, University of Toronto;
Platform Biological Sciences, Sunnybrook Research Institute; Department of Laboratory Medicine and Pathobiology, University of Toronto.
J Vis Exp. 2014 Jul 26(89):e51325. doi: 10.3791/51325.
Histology volume reconstruction facilitates the study of 3D shape and volume change of an organ at the level of macrostructures made up of cells. It can also be used to investigate and validate novel techniques and algorithms in volumetric medical imaging and therapies. Creating 3D high-resolution atlases of different organs(1,2,3) is another application of histology volume reconstruction. This provides a resource for investigating tissue structures and the spatial relationship between various cellular features. We present an image registration approach for histology volume reconstruction, which uses a set of optical blockface images. The reconstructed histology volume represents a reliable shape of the processed specimen with no propagated post-processing registration error. The Hematoxylin and Eosin (H&E) stained sections of two mouse mammary glands were registered to their corresponding blockface images using boundary points extracted from the edges of the specimen in histology and blockface images. The accuracy of the registration was visually evaluated. The alignment of the macrostructures of the mammary glands was also visually assessed at high resolution. This study delineates the different steps of this image registration pipeline, ranging from excision of the mammary gland through to 3D histology volume reconstruction. While 2D histology images reveal the structural differences between pairs of sections, 3D histology volume provides the ability to visualize the differences in shape and volume of the mammary glands.
组织学体积重建有助于在由细胞组成的宏观结构层面研究器官的三维形状和体积变化。它还可用于研究和验证体积医学成像及治疗中的新技术和算法。创建不同器官的三维高分辨率图谱(1,2,3)是组织学体积重建的另一应用。这为研究组织结构以及各种细胞特征之间的空间关系提供了一种资源。我们提出一种用于组织学体积重建的图像配准方法,该方法使用一组光学块面图像。重建的组织学体积代表了处理后标本的可靠形状,不存在传播的后处理配准误差。使用从组织学图像和块面图像中标本边缘提取的边界点,将两只小鼠乳腺的苏木精和伊红(H&E)染色切片与它们相应的块面图像进行配准。通过视觉评估配准的准确性。还在高分辨率下通过视觉评估乳腺宏观结构的对齐情况。本研究描述了这个图像配准流程的不同步骤,从乳腺切除到三维组织学体积重建。二维组织学图像揭示了成对切片之间的结构差异,而三维组织学体积则能够可视化乳腺在形状和体积上的差异。