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Proceedings Paper

3D reconstruction of digitized histological sections for vasculature quantification in the mouse hind limb
Author(s): Yiwen Xu; J. Geoffrey Pickering; Zengxuan Nong; Eli Gibson; Aaron D. Ward
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Paper Abstract

In contrast to imaging modalities such as magnetic resonance imaging and micro computed tomography, digital histology reveals multiple stained tissue features at high resolution (0.25μm/pixel). However, the two-dimensional (2D) nature of histology challenges three-dimensional (3D) quantification and visualization of the different tissue components, cellular structures, and subcellular elements. This limitation is particularly relevant to the vasculature, which has a complex and variable structure within tissues. The objective of this study was to perform a fully automated 3D reconstruction of histology tissue in the mouse hind limb preserving the accurate systemic orientation of the tissues, stained with hematoxylin and immunostained for smooth muscle α actin. We performed a 3D reconstruction using pairwise rigid registrations of 5μm thick, paraffin-embedded serial sections, digitized at 0.25μm/pixel. Each registration was performed using the iterative closest points algorithm on blood vessel landmarks. Landmarks were vessel centroids, determined according to a signed distance map of each pixel to a decision boundary in hue-saturation-value color space; this decision boundary was determined based on manual annotation of a separate training set. Cell nuclei were then automatically extracted and corresponded to refine the vessel landmark registration. Homologous nucleus landmark pairs appearing on not more than two adjacent slides were chosen to avoid registrations which force curved or non-sectionorthogonal structures to be straight and section-orthogonal. The median accumulated target registration errors ± interquartile ranges for the vessel landmark registration, and the nucleus landmark refinement were 43.4±42.8μm and 2.9±1.7μm, respectively (p<0.0001). Fully automatic and accurate 3D rigid reconstruction of mouse hind limb histology imaging is feasible based on extracted vasculature and nuclei.

Paper Details

Date Published: 20 March 2014
PDF: 7 pages
Proc. SPIE 9041, Medical Imaging 2014: Digital Pathology, 90410G (20 March 2014); doi: 10.1117/12.2042895
Show Author Affiliations
Yiwen Xu, The Univ. of Western Ontario (Canada)
J. Geoffrey Pickering, The Univ. of Western Ontario (Canada)
Robarts Research Institute (Canada)
Zengxuan Nong, The Univ. of Western Ontario (Canada)
Eli Gibson, Robarts Research Institute (Canada)
Aaron D. Ward, The Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 9041:
Medical Imaging 2014: Digital Pathology
Metin N. Gurcan; Anant Madabhushi, Editor(s)

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