Journal of Pathology Informatics Journal of Pathology Informatics
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SYMPOSIUM - ORIGINAL RESEARCH
Year : 2013  |  Volume : 4  |  Issue : 2  |  Page : 7

3D reconstruction of multiple stained histology images


School of Computing, University of Leeds, Leeds, United Kingdom

Correspondence Address:
Yi Song
School of Computing, University of Leeds, Leeds
United Kingdom
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2153-3539.109864

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Context: 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). Methods: 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. Setting and Design: 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. Results and Conclusion: 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.


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