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Multi-resolution transverse oscillation in ultrasound imaging for motion estimation.

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Title: Multi-resolution transverse oscillation in ultrasound imaging for motion estimation.
Authors: Varray, Francois1, Liebgott, Herv?1
Source: IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control. Jul2013, Vol. 60 Issue 7, pN.PAG. 0p.
Subjects: Multiresolution time-domain method, Ultrasonic imaging, Motion estimation (Signal processing), Image analysis, Nonlinear systems, Standard deviations, Signal-to-noise ratio
Abstract: Beyond all recent methods for estimating multidimensional motion vectors in ultrasound (US) image sequences, the transverse oscillation (TO) images coupled with a phase-based motion estimator has shown to be an extremely promising approach. To improve existing TO techniques, this paper proposes a multi-resolution transverse oscillation (MRTO) that measures the motion in US image sequences at different resolutions. Several TO images are created using harmonic images obtained from nonlinear US propagation or from composite emissions. Motion estimations are made with increasing resolution levels, i.e., decreasing transverse wavelength, to improve the previous measurements. When only lateral motion is applied to the tissue, the resulting estimations, quantitatively assessed in both simulations and in vitro experiments, are significantly improved in terms of mean motion error and standard deviation. With a 1-mm displacement in the chirp transmission, the error is reduced from 40.9% to 0.1% in the simulation and from 41.6% to 1.5% in the experiment. The first quasi-static elastography results, in simulation and experimentation, also confirm this improvement with an increased contrast-to-noise ratio and signal-to-noise ratio. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Multi-resolution transverse oscillation in ultrasound imaging for motion estimation.
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  Data: <searchLink fieldCode="DE" term="%22Multiresolution+time-domain+method%22">Multiresolution time-domain method</searchLink><br /><searchLink fieldCode="DE" term="%22Ultrasonic+imaging%22">Ultrasonic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+estimation+%28Signal+processing%29%22">Motion estimation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Standard+deviations%22">Standard deviations</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink>
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  Data: Beyond all recent methods for estimating multidimensional motion vectors in ultrasound (US) image sequences, the transverse oscillation (TO) images coupled with a phase-based motion estimator has shown to be an extremely promising approach. To improve existing TO techniques, this paper proposes a multi-resolution transverse oscillation (MRTO) that measures the motion in US image sequences at different resolutions. Several TO images are created using harmonic images obtained from nonlinear US propagation or from composite emissions. Motion estimations are made with increasing resolution levels, i.e., decreasing transverse wavelength, to improve the previous measurements. When only lateral motion is applied to the tissue, the resulting estimations, quantitatively assessed in both simulations and in vitro experiments, are significantly improved in terms of mean motion error and standard deviation. With a 1-mm displacement in the chirp transmission, the error is reduced from 40.9% to 0.1% in the simulation and from 41.6% to 1.5% in the experiment. The first quasi-static elastography results, in simulation and experimentation, also confirm this improvement with an increased contrast-to-noise ratio and signal-to-noise ratio. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TUFFC.2013.2707
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      – Code: eng
        Text: English
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        PageCount: 0
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Multiresolution time-domain method
        Type: general
      – SubjectFull: Ultrasonic imaging
        Type: general
      – SubjectFull: Motion estimation (Signal processing)
        Type: general
      – SubjectFull: Image analysis
        Type: general
      – SubjectFull: Nonlinear systems
        Type: general
      – SubjectFull: Standard deviations
        Type: general
      – SubjectFull: Signal-to-noise ratio
        Type: general
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      – TitleFull: Multi-resolution transverse oscillation in ultrasound imaging for motion estimation.
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            NameFull: Varray, Francois
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            NameFull: Liebgott, Herv?
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            – D: 01
              M: 07
              Text: Jul2013
              Type: published
              Y: 2013
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            – TitleFull: IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control
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