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    Mapping Grey-Levels on 3D Segmented Anatomical districts

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    Date
    2019
    Author
    Paccini, Martina ORCID
    Patané, Giuseppe
    Spagnuolo, Michela ORCID
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    Abstract
    The study aims to perform a simple but effective integration of geometric information of segmented 3D bones' surface and density information provided by volume MRI (Magnetic Resonance Imaging). Such a representation method could support diagnosis process, biomedical simulation, computed assisted surgery and prosthesis fitting. The input consists of a volume MRI of a carpal district and the corresponding 3D surface model. The algorithm superimposes image and surface, and, once found the image voxel correspondent to each surface point, maps the grey level of the voxels identified on the segmented surface. The output is a surface mesh on which the texture, induced by the MRI, has been mapped. The approach is effective, general and applicable to different anatomical districts. Further elaboration of the results can be used to perform landmark identification or segmentation correction.
    BibTeX
    @inproceedings {ag.20191371,
    booktitle = {Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference},
    editor = {Agus, Marco and Corsini, Massimiliano and Pintus, Ruggero},
    title = {{Mapping Grey-Levels on 3D Segmented Anatomical districts}},
    author = {Paccini, Martina and Patané, Giuseppe and Spagnuolo, Michela},
    year = {2019},
    publisher = {The Eurographics Association},
    ISSN = {2617-4855},
    ISBN = {978-3-03868-100-7},
    DOI = {10.2312/stag.20191371}
    }
    URI
    https://doi.org/10.2312/stag.20191371
    https://diglib.eg.org:443/handle/10.2312/stag20191371
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    Eurographics Association copyright © 2013 - 2020 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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