Multi-slice ultrasound image calibration of an intelligent skin-marker for soft tissue artefact compensation

Md Abdullah Masum, Mark R. Pickering, Andrew J. Lambert, J. M. Scarvell, Paul N. Smith

    Research output: Contribution to journalArticle

    2 Citations (Scopus)

    Abstract

    In this paper, a novel multi-slice ultrasound (US) image calibration of an intelligent skin-marker used for soft tissue artefact compensation is proposed to align and orient image slices in an exact H-shaped pattern. Multi-slice calibration is complex, however, in the proposed method, a phantom based visual alignment followed by transform parameters estimation greatly reduces the complexity and provides sufficient accuracy. In this approach, the Hough Transform (HT) is used to further enhance the image features which originate from the image feature enhancing elements integrated into the physical phantom model, thus reducing feature detection uncertainty. In this framework, slice by slice image alignment and calibration are carried out and this provides manual ease and convenience.

    Original languageEnglish
    JournalJournal of Biomechanics
    DOIs
    Publication statusPublished - 2017

    Fingerprint

    Artifacts
    Calibration
    Skin
    Ultrasonics
    Tissue
    Hough transforms
    Parameter estimation
    Uncertainty
    Compensation and Redress

    Cite this

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    title = "Multi-slice ultrasound image calibration of an intelligent skin-marker for soft tissue artefact compensation",
    abstract = "In this paper, a novel multi-slice ultrasound (US) image calibration of an intelligent skin-marker used for soft tissue artefact compensation is proposed to align and orient image slices in an exact H-shaped pattern. Multi-slice calibration is complex, however, in the proposed method, a phantom based visual alignment followed by transform parameters estimation greatly reduces the complexity and provides sufficient accuracy. In this approach, the Hough Transform (HT) is used to further enhance the image features which originate from the image feature enhancing elements integrated into the physical phantom model, thus reducing feature detection uncertainty. In this framework, slice by slice image alignment and calibration are carried out and this provides manual ease and convenience.",
    keywords = "Image alignment, Knee kinematics, Multi-slice image calibration, Ultrasound",
    author = "Masum, {Md Abdullah} and Pickering, {Mark R.} and Lambert, {Andrew J.} and Scarvell, {J. M.} and Smith, {Paul N.}",
    year = "2017",
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    language = "English",
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    Multi-slice ultrasound image calibration of an intelligent skin-marker for soft tissue artefact compensation. / Masum, Md Abdullah; Pickering, Mark R.; Lambert, Andrew J.; Scarvell, J. M.; Smith, Paul N.

    In: Journal of Biomechanics, 2017.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Multi-slice ultrasound image calibration of an intelligent skin-marker for soft tissue artefact compensation

    AU - Masum, Md Abdullah

    AU - Pickering, Mark R.

    AU - Lambert, Andrew J.

    AU - Scarvell, J. M.

    AU - Smith, Paul N.

    PY - 2017

    Y1 - 2017

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    AB - In this paper, a novel multi-slice ultrasound (US) image calibration of an intelligent skin-marker used for soft tissue artefact compensation is proposed to align and orient image slices in an exact H-shaped pattern. Multi-slice calibration is complex, however, in the proposed method, a phantom based visual alignment followed by transform parameters estimation greatly reduces the complexity and provides sufficient accuracy. In this approach, the Hough Transform (HT) is used to further enhance the image features which originate from the image feature enhancing elements integrated into the physical phantom model, thus reducing feature detection uncertainty. In this framework, slice by slice image alignment and calibration are carried out and this provides manual ease and convenience.

    KW - Image alignment

    KW - Knee kinematics

    KW - Multi-slice image calibration

    KW - Ultrasound

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    M3 - Article

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    JF - Journal of Biomechanics

    SN - 0021-9290

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