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    Anatomically and dielectrically realistic 2.5D 5-layer reconfigurable head phantom for testing microwave stroke detection and classification

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    Author
    Pokorny, T.
    Vrba, D.
    Rodrigues, D.B.
    Date
    2019
    Journal
    International Journal of Antennas and Propagation
    Publisher
    Hindawi Limited
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1155/2019/5459391
    Abstract
    This work presents the design and manufacturing of an anatomically and dielectrically realistic layered phantom of the human head that allows the insertion of ischemic and hemorrhagic stroke phantom models. A 2.5D physical phantom was designed using a representative anatomical image of the human head, which was simplified into 5 different layers that mimic the scalp, skull, cerebrospinal fluid, brain, and stroke regions in terms of anatomy and dielectric properties. Apart from the brain phantom, all other layers consist of a mixture of polyurethane rubber, graphite powder, and carbon black powder. The brain phantom is in the liquid form to facilitate the insertion of different stroke models (ischemic or hemorrhagic) with different positions and shapes. Phantoms were designed with dielectric properties valid within the frequency range 0.5-3.0 GHz, which is relevant for microwave stroke detection and classification. Molds for casting individual parts of the phantom were printed in 3D. The presented phantom is suitable for the development and testing of microwave systems and algorithms used in the detection and classification of vascular events relevant to stroke diagnosis. Copyright 2019 Tomas Pokorny et al.
    Sponsors
    This work has been supported by a grant from the Czech Science Foundation (number 17-00477Y).
    Keyword
    head phantoms
    microwave imaging
    Stroke--classification
    Stroke--diagnosis
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072383153&doi=10.1155%2f2019%2f5459391&partnerID=40&md5=8f367acfd317c82a9f373fe0b7bc45c2; http://hdl.handle.net/10713/11030
    ae974a485f413a2113503eed53cd6c53
    10.1155/2019/5459391
    Scopus Count
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    UMB Open Access Articles 2019

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