Registration of Confocal Fluorescence Endomicroscopy Images Using Phase Correlation

Feng Zhao, TM McGinnity

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

    Abstract

    The emerging confocal fluorescence endomicroscope is capable of imaging living tissues in a non-invasive way using a probe to continuously scan the surface and subsurface tissue structures. Due to possible tissue movement and tissue expansion/contraction, the acquired images contain various noises and distortions. It is necessary to align these images in order to obtain a better 3D reconstruction of the tissue's microstructure for clinicians. In this paper, we present an automatic image registration method using the phase correlation technique, which uses a fast frequencydomain approach to estimate the relative transformation parameters between two consecutive endomicroscopy images.(11 refs)
    LanguageEnglish
    Title of host publicationUnknown Host Publication
    Pages291-296
    Number of pages6
    Publication statusPublished - 18 Jul 2011
    EventInternational Conference on Bioinformatics and Computational Biology. BIOCOMP 2011 - Las Vegas, NV, USA
    Duration: 18 Jul 2011 → …

    Conference

    ConferenceInternational Conference on Bioinformatics and Computational Biology. BIOCOMP 2011
    Period18/07/11 → …

    Fingerprint

    fluorescence
    contraction
    emerging
    microstructure
    expansion
    probes
    estimates

    Cite this

    @inproceedings{e02d19491744476eb8e858c6b615e74f,
    title = "Registration of Confocal Fluorescence Endomicroscopy Images Using Phase Correlation",
    abstract = "The emerging confocal fluorescence endomicroscope is capable of imaging living tissues in a non-invasive way using a probe to continuously scan the surface and subsurface tissue structures. Due to possible tissue movement and tissue expansion/contraction, the acquired images contain various noises and distortions. It is necessary to align these images in order to obtain a better 3D reconstruction of the tissue's microstructure for clinicians. In this paper, we present an automatic image registration method using the phase correlation technique, which uses a fast frequencydomain approach to estimate the relative transformation parameters between two consecutive endomicroscopy images.(11 refs)",
    author = "Feng Zhao and TM McGinnity",
    year = "2011",
    month = "7",
    day = "18",
    language = "English",
    isbn = "ISBN-10: 1-60132-170-8",
    pages = "291--296",
    booktitle = "Unknown Host Publication",

    }

    Zhao, F & McGinnity, TM 2011, Registration of Confocal Fluorescence Endomicroscopy Images Using Phase Correlation. in Unknown Host Publication. pp. 291-296, International Conference on Bioinformatics and Computational Biology. BIOCOMP 2011, 18/07/11.

    Registration of Confocal Fluorescence Endomicroscopy Images Using Phase Correlation. / Zhao, Feng; McGinnity, TM.

    Unknown Host Publication. 2011. p. 291-296.

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

    TY - GEN

    T1 - Registration of Confocal Fluorescence Endomicroscopy Images Using Phase Correlation

    AU - Zhao, Feng

    AU - McGinnity, TM

    PY - 2011/7/18

    Y1 - 2011/7/18

    N2 - The emerging confocal fluorescence endomicroscope is capable of imaging living tissues in a non-invasive way using a probe to continuously scan the surface and subsurface tissue structures. Due to possible tissue movement and tissue expansion/contraction, the acquired images contain various noises and distortions. It is necessary to align these images in order to obtain a better 3D reconstruction of the tissue's microstructure for clinicians. In this paper, we present an automatic image registration method using the phase correlation technique, which uses a fast frequencydomain approach to estimate the relative transformation parameters between two consecutive endomicroscopy images.(11 refs)

    AB - The emerging confocal fluorescence endomicroscope is capable of imaging living tissues in a non-invasive way using a probe to continuously scan the surface and subsurface tissue structures. Due to possible tissue movement and tissue expansion/contraction, the acquired images contain various noises and distortions. It is necessary to align these images in order to obtain a better 3D reconstruction of the tissue's microstructure for clinicians. In this paper, we present an automatic image registration method using the phase correlation technique, which uses a fast frequencydomain approach to estimate the relative transformation parameters between two consecutive endomicroscopy images.(11 refs)

    M3 - Conference contribution

    SN - ISBN-10: 1-60132-170-8

    SP - 291

    EP - 296

    BT - Unknown Host Publication

    ER -