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    Imaging the Vascular Network of the Human Spleen from Immunostained Serial Sections

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    Date
    2014
    Author
    Ulrich, Christine
    Lobachev, Oleg
    Steiniger, Birte
    Guthe, Michael
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    Abstract
    The spleen is one of the organs, where the micro-structure and the function on that level are not completely understood. It was for example only recently found that is has an open circulation, which distinguishes it from all other organs. Imaging the complete vascular network from the arteries to open-ended capillaries would greatly facilitate research in this area. The structure of such tissue is best uncovered using immunehistological staining. This can however only be applied to thin tissue sections and larger structures span several slices. Due to the deformation induced when cutting the specimen, standard registration algorithms cannot be used to merge the images into a volume. We propose a specialized matching algorithm to robustly determine corresponding regions in the images. After a rigid alignment of the scans, we use a cubic B-spline to deform and align the images. During this process we minimize the total deformation to produce as accurate results as possible.
    BibTeX
    @inproceedings {10.2312:vcbm.20141185,
    booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
    editor = {Ivan Viola and Katja Buehler and Timo Ropinski},
    title = {{Imaging the Vascular Network of the Human Spleen from Immunostained Serial Sections}},
    author = {Ulrich, Christine and Lobachev, Oleg and Steiniger, Birte and Guthe, Michael},
    year = {2014},
    publisher = {The Eurographics Association},
    ISSN = {2070-5778},
    ISBN = {978-3-905674-62-0},
    DOI = {10.2312/vcbm.20141185}
    }
    URI
    http://dx.doi.org/10.2312/vcbm.20141185
    http://hdl.handle.net/10.2312/vcbm.20141185.069-078
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA