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    Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding

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    Date
    2017
    Author
    Martinke, Hannes
    Petry, Christian
    Großkopf, Stefan
    Suehling, Michael
    Soza, Grzegorz
    Preim, Bernhard ORCID
    Mistelbauer, Gabriel ORCID
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    Abstract
    The assessment of rib bone fractures and lesions consists of many images that have to be thoroughly inspected slice-by-slice and rib-by-rib. Existing visualization methods, such as curved planar reformation (CPR), reduce the number of images to inspect and, in turn, the time spent per case. However, this task remains time-consuming and exhausting. In this paper, we propose a novel rib unfolding strategy that considers the cross-sectional shape of each rib individually and independently. This leads to shape-adaptive slices through the ribs. By aggregating these slices into a single image, we support radiologists with a concise overview visualization of the entire rib cage for fracture and lesion assessment. We present results of our approach along different cases of rib and spinal fractures as well as lesions. To assess the applicability of our method, we separately evaluated the segmentation (with 954 data sets) and the visualization (with two clinical coaches).
    BibTeX
    @inproceedings {10.2312:vcbm.20171249,
    booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
    editor = {Stefan Bruckner and Anja Hennemuth and Bernhard Kainz and Ingrid Hotz and Dorit Merhof and Christian Rieder},
    title = {{Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding}},
    author = {Martinke, Hannes and Petry, Christian and Großkopf, Stefan and Suehling, Michael and Soza, Grzegorz and Preim, Bernhard and Mistelbauer, Gabriel},
    year = {2017},
    publisher = {The Eurographics Association},
    ISSN = {2070-5786},
    ISBN = {978-3-03868-036-9},
    DOI = {10.2312/vcbm.20171249}
    }
    URI
    http://dx.doi.org/10.2312/vcbm.20171249
    https://diglib.eg.org:443/handle/10.2312/vcbm20171249
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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