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    CT-Based Navigation Guidance for Liver Tumor Ablation

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    Date
    2017
    Author
    Alpers, Julian
    Hansen, Christian
    Ringe, Kristina
    Rieder, Christian
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    Abstract
    Image-guided thermal ablation procedures such as microwave ablation (MWA) or radiofrequency ablation (RFA) have become clinically accepted treatment options for liver tumors. The goal of these minimally invasive procedures is the destruction of focal liver malignancies using mostly needle-shaped instruments. Computed tomography (CT) imaging may be used to navigate the applicator to the target position in order to achieve complete tumor ablation. Due to limited image quality and resolution, the treatment target and risk structures may be hardly visible in intra-interventional CT-images, hampering verification of the intended applicator position. In this work, we propose a navigation guidance method based only on CT images to support the physician with additional information to reach the target position. Therefore, planning information extracted from pre-interventional images is fused with the current intra-interventional image. The visible applicator is extracted semi-automatically from the intra-interventional image. The localization of the needle instrument is used to guide the physician by display of the pathway, projection of anatomical structures, and correction suggestions. In an evaluation, we demonstrate the potential of the proposed method to improve the clinical success rate of complex liver tumor ablations while increasing the accuracy and reducing the number of intra-interventional CT images needed.
    BibTeX
    @inproceedings {vcbm.20171240,
    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 = {{CT-Based Navigation Guidance for Liver Tumor Ablation}},
    author = {Alpers, Julian and Hansen, Christian and Ringe, Kristina and Rieder, Christian},
    year = {2017},
    publisher = {The Eurographics Association},
    ISSN = {2070-5786},
    ISBN = {978-3-03868-036-9},
    DOI = {10.2312/vcbm.20171240}
    }
    URI
    http://dx.doi.org/10.2312/vcbm.20171240
    https://diglib.eg.org:443/handle/10.2312/vcbm20171240
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    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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