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

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dc.contributor.authorUlrich, Christineen_US
dc.contributor.authorLobachev, Olegen_US
dc.contributor.authorSteiniger, Birteen_US
dc.contributor.authorGuthe, Michaelen_US
dc.contributor.editorIvan Viola and Katja Buehler and Timo Ropinskien_US
dc.date.accessioned2014-12-16T07:36:55Z
dc.date.available2014-12-16T07:36:55Z
dc.date.issued2014en_US
dc.description.abstractThe 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.en_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.isbn978-3-905674-62-0en_US
dc.identifier.issn2070-5778en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20141185en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/vcbm.20141185.069-078
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.3 [Image Processing and Computer Vision]en_US
dc.subjectEnhancementen_US
dc.subjectRegistrationen_US
dc.titleImaging the Vascular Network of the Human Spleen from Immunostained Serial Sectionsen_US
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VCBM 14: Eurographics Workshop on Visual Computing for Biology and Medicine