Song Yi, Treanor Darren, Bulpitt Andrew J, Magee Derek R
School of Computing, University of Leeds, Leeds, UK.
J Pathol Inform. 2013 Mar 30;4(Suppl):S7. doi: 10.4103/2153-3539.109864. Print 2013.
Three dimensional (3D) tissue reconstructions from the histology images with different stains allows the spatial alignment of structural and functional elements highlighted by different stains for quantitative study of many physiological and pathological phenomena. This has significant potential to improve the understanding of the growth patterns and the spatial arrangement of diseased cells, and enhance the study of biomechanical behavior of the tissue structures towards better treatments (e.g. tissue-engineering applications).
This paper evaluates three strategies for 3D reconstruction from sets of two dimensional (2D) histological sections with different stains, by combining methods of 2D multi-stain registration and 3D volumetric reconstruction from same stain sections.
The different strategies have been evaluated on two liver specimens (80 sections in total) stained with Hematoxylin and Eosin (H and E), Sirius Red, and Cytokeratin (CK) 7.
A strategy of using multi-stain registration to align images of a second stain to a volume reconstructed by same-stain registration results in the lowest overall error, although an interlaced image registration approach may be more robust to poor section quality.
利用不同染色的组织学图像进行三维（3D）组织重建，能够使不同染色突出显示的结构和功能元素在空间上对齐，从而对多种生理和病理现象进行定量研究。这对于增进对病变细胞生长模式和空间排列的理解，以及加强对组织结构生物力学行为的研究以实现更好的治疗（如组织工程应用）具有巨大潜力。
本文通过结合二维多染色配准方法和来自相同染色切片的三维体积重建方法，评估了从具有不同染色的二维（2D）组织学切片集进行三维重建的三种策略。
在两个用苏木精和伊红（H&E）、天狼星红以及细胞角蛋白（CK）7染色的肝脏标本（总共80个切片）上评估了不同策略。
使用多染色配准将第二种染色图像与通过相同染色配准重建的体积对齐的策略总体误差最低，尽管隔行图像配准方法可能对较差的切片质量更具鲁棒性。
