Liang, Y, Wang, F, Treanor, D et al. (5 more authors) (2016) A framework for 3D vessel analysis using whole slide images of liver tissue sections. International Journal of Computational Biology and Drug Design, 9 (1/2). pp. 102-119. ISSN 1756-0756
Abstract
Three-dimensional (3D) high resolution microscopic images have high potential for improving the understanding of both normal and disease processes where structural changes or spatial relationship of disease features are significant. In this paper, we develop a complete framework applicable to 3D pathology analytical imaging, with an application to whole slide images of sequential liver slices for 3D vessel structure analysis. The analysis workflow consists of image registration, segmentation, vessel cross-section association, interpolation, and volumetric rendering. To identify biologically-meaningful correspondence across adjacent slides, we formulate a similarity function for four association cases. The optimal solution is then obtained by constrained Integer Programming. We quantitatively and qualitatively compare our vessel reconstruction results with human annotations. Validation results indicate a satisfactory concordance as measured both by region-based and distance-based metrics. These results demonstrate a promising 3D vessel analysis framework for whole slide images of liver tissue sections.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2016, Inderscience. This is an author produced version of a paper published in International Journal of Computational Biology and Drug Design. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Whole Slide Imaging; Digital Pathology; Pathology Image Analysis; 3D Vessel Structure; Liver Pathology. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Aug 2015 14:05 |
Last Modified: | 01 Nov 2016 23:00 |
Published Version: | http://dx.doi.org/10.1504/IJCBDD.2016.074983 |
Status: | Published |
Publisher: | Inderscience |
Identification Number: | 10.1504/IJCBDD.2016.074983 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:89127 |