A Low-cost Real-time Three-dimensional Confocal Fluorescence Endomicroscopy Imaging System

Feng Zhao, TM McGinnity

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Abstract—Confocal fluorescence endomicroscopy is an emerging endoscopic modality, which allows in vivo microscopic imaging of the mucosal layer of living tissues. In thispaper, we will present a low-cost real-time 3D imaging system using an endomicroscope. In the system, the volumetric image data are automatically captured by continuously scanning the surface and subsurface tissue structures without removing tissues from the body or sacrificing animals. Real-time algorithms including feature-based registration of multiple cross-sectional images and GPU-based reconstruction of 3D microstructure aswell as instant rendering of the clinical features are developed to allow the clinicians to navigate within the living tissue freely for a much more definitive diagnostic result. The nature of the proposed system enables the clinicians to diagnose various diseases including the early-stage cancers in a non-invasive way. In vivo histology becomes visible and an online diagnosis can potentially be achieved.
    LanguageEnglish
    Title of host publicationUnknown Host Publication
    Pages126-133
    Number of pages7
    DOIs
    Publication statusPublished - Aug 2011
    EventHISB11:IEEE Conference on Healthcare Informatics, Imaging and Systems Biology - San Jose, USA
    Duration: 1 Aug 2011 → …

    Conference

    ConferenceHISB11:IEEE Conference on Healthcare Informatics, Imaging and Systems Biology
    Period1/08/11 → …

    Fingerprint

    Optical Imaging
    Costs and Cost Analysis
    Histology
    Fluorescence
    Neoplasms

    Cite this

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    title = "A Low-cost Real-time Three-dimensional Confocal Fluorescence Endomicroscopy Imaging System",
    abstract = "Abstract—Confocal fluorescence endomicroscopy is an emerging endoscopic modality, which allows in vivo microscopic imaging of the mucosal layer of living tissues. In thispaper, we will present a low-cost real-time 3D imaging system using an endomicroscope. In the system, the volumetric image data are automatically captured by continuously scanning the surface and subsurface tissue structures without removing tissues from the body or sacrificing animals. Real-time algorithms including feature-based registration of multiple cross-sectional images and GPU-based reconstruction of 3D microstructure aswell as instant rendering of the clinical features are developed to allow the clinicians to navigate within the living tissue freely for a much more definitive diagnostic result. The nature of the proposed system enables the clinicians to diagnose various diseases including the early-stage cancers in a non-invasive way. In vivo histology becomes visible and an online diagnosis can potentially be achieved.",
    author = "Feng Zhao and TM McGinnity",
    year = "2011",
    month = "8",
    doi = "10.1109/HISB.2011.5",
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    Zhao, F & McGinnity, TM 2011, A Low-cost Real-time Three-dimensional Confocal Fluorescence Endomicroscopy Imaging System. in Unknown Host Publication. pp. 126-133, HISB11:IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, 1/08/11. https://doi.org/10.1109/HISB.2011.5

    A Low-cost Real-time Three-dimensional Confocal Fluorescence Endomicroscopy Imaging System. / Zhao, Feng; McGinnity, TM.

    Unknown Host Publication. 2011. p. 126-133.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    N2 - Abstract—Confocal fluorescence endomicroscopy is an emerging endoscopic modality, which allows in vivo microscopic imaging of the mucosal layer of living tissues. In thispaper, we will present a low-cost real-time 3D imaging system using an endomicroscope. In the system, the volumetric image data are automatically captured by continuously scanning the surface and subsurface tissue structures without removing tissues from the body or sacrificing animals. Real-time algorithms including feature-based registration of multiple cross-sectional images and GPU-based reconstruction of 3D microstructure aswell as instant rendering of the clinical features are developed to allow the clinicians to navigate within the living tissue freely for a much more definitive diagnostic result. The nature of the proposed system enables the clinicians to diagnose various diseases including the early-stage cancers in a non-invasive way. In vivo histology becomes visible and an online diagnosis can potentially be achieved.

    AB - Abstract—Confocal fluorescence endomicroscopy is an emerging endoscopic modality, which allows in vivo microscopic imaging of the mucosal layer of living tissues. In thispaper, we will present a low-cost real-time 3D imaging system using an endomicroscope. In the system, the volumetric image data are automatically captured by continuously scanning the surface and subsurface tissue structures without removing tissues from the body or sacrificing animals. Real-time algorithms including feature-based registration of multiple cross-sectional images and GPU-based reconstruction of 3D microstructure aswell as instant rendering of the clinical features are developed to allow the clinicians to navigate within the living tissue freely for a much more definitive diagnostic result. The nature of the proposed system enables the clinicians to diagnose various diseases including the early-stage cancers in a non-invasive way. In vivo histology becomes visible and an online diagnosis can potentially be achieved.

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