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    Illustrative PET/CT Visualisation of SIRT-Treated Lung Metastases

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    Date
    2016
    Author
    Merten, Nico
    Glaßer, Sylvia
    Lassen-Schmidt, Bianca
    Großer, Oliver Stephan
    Ricke, Jens
    Amthauer, Holger
    Preim, Bernhard ORCID
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    Abstract
    We present an illustrative rendering pipeline which combines anatomical information from CT scans with functional information from PET scans. To treat lung metastases with Selective Internal Radiation Therapies (SIRTs), combined PET/CT recordings are used for treatment planning and intervention validation. We firstly extract surface meshes from the lung lobes and trachea from the CT scan. In addition, the radiation activity of the therapeutic agent 90Y is acquired from the PET data. To convey all this information in one view, we use illustrative rendering techniques, combining Order-Independent Transparencies with Boundary Enhancements and Silhouettes. Our methods are evaluated by clinical and visualisation domain experts. This study indicates an excellent spatial perception and evaluation of tumor position, metabolic and therapeutic agent activity, when transparencies and boundary enhancements are used to render the surrounding lung lobes.
    BibTeX
    @inproceedings {10.2312:vcbm.20161276,
    booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
    editor = {Stefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervold},
    title = {{Illustrative PET/CT Visualisation of SIRT-Treated Lung Metastases}},
    author = {Merten, Nico and Glaßer, Sylvia and Lassen-Schmidt, Bianca and Großer, Oliver Stephan and Ricke, Jens and Amthauer, Holger and Preim, Bernhard},
    year = {2016},
    publisher = {The Eurographics Association},
    ISSN = {2070-5786},
    ISBN = {978-3-03868-010-9},
    DOI = {10.2312/vcbm.20161276}
    }
    URI
    http://dx.doi.org/10.2312/vcbm.20161276
    https://diglib.eg.org:443/handle/10.2312/vcbm20161276
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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