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    Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy

    Dissertations (Dissertationen)

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    Author(s)
    Said, Sarah
    Collection
    AG Universitätsverlage
    Language
    English
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    Abstract
    This work proposes a novel method for a matching tool between MRI and spot mammograms. Two registration methods are used : a biomechanical model based registration between MRI and full X-ray mammograms, followed by an image based registration between full and spot mammograms. The proposed methods have been tested using 51 patients from the Medical University of Vienna. For the analyzed dataset, the proposed methods showed not only promising results but also the feasibility of clinical use.
    URI
    https://library.oapen.org/handle/20.500.12657/92887
    Keywords
    Clinical Use; Deep Learning algorithms; Accumulative Registration; Image Based Registration; Biomechanical Model Registration; Klinische Anwendung; Deep Learning Algorithmen; Akkumulative Registrierung; Bildbasierte Registrierung; Registrierung Biomechanischer Modelle
    DOI
    10.5445/KSP/1000170686
    ISBN
    9783731513667
    Publisher
    KIT Scientific Publishing
    Publisher website
    https://www.ksp.kit.edu/index.php?link=shop&sort=all
    Publication date and place
    2024
    Classification
    Electrical engineering
    Pages
    262
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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