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Out-of-plane motion estimation based on a Rician-Inverse Gaussian model of RF ultrasound signals: speckle tracking without fully developed speckle. Afsham, Narges; Najafi, Mohammad; Abolmaesumi, Purang; Rohling, Robert N.
Abstract
Fully developed speckle has been used previously to estimate the out-of-plane motion of ultrasound images. However, in real tissue the rarity of such patterns and the presence of coherency diminish both the precision and the accuracy of the out-of-plane motion estimation. In this paper, for the first time, we propose a simple mathematical derivation for out-of-plane motion estimation in which the coherent and non-coherent parts of the RF echo signal are separated. This method is based on the Rician-Inverse Gaussian stochastic model of the speckle formation process, which can be considered as a generalized form of the K-distribution with richer parameterization. The flexibility of the proposed method allows considering any patch of the RF echo signal for the purpose of displacement estimation. The experimental results on real tissue demonstrate the potential of the proposed method for accurate out-of-plane estimation. The underestimation of motion in ex vivo bovine tissue at 1 mm displacement is reduced to 15.5% compared to 37% for a base-line method. Copyright 2012 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Item Metadata
Title |
Out-of-plane motion estimation based on a Rician-Inverse Gaussian model of RF ultrasound signals: speckle tracking without fully developed speckle.
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Creator | |
Publisher |
Society of Photo-Optical Instrumentation Engineers (SPIE)
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Date Issued |
2012
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Description |
Fully developed speckle has been used previously to estimate the out-of-plane motion of ultrasound images. However, in real
tissue the rarity of such patterns and the presence of coherency diminish both the precision and the accuracy of the out-of-plane
motion estimation. In this paper, for the first time, we propose a simple mathematical derivation for out-of-plane motion
estimation in which the coherent and non-coherent parts of the RF echo signal are separated. This method is based on the
Rician-Inverse Gaussian stochastic model of the speckle formation process, which can be considered as a generalized form
of the K-distribution with richer parameterization. The flexibility of the proposed method allows considering any patch
of the RF echo signal for the purpose of displacement estimation. The experimental results on real tissue demonstrate the
potential of the proposed method for accurate out-of-plane estimation. The underestimation of motion in ex vivo bovine tissue
at 1 mm displacement is reduced to 15.5% compared to 37% for a base-line method.
Copyright 2012 Society of Photo-Optical Instrumentation Engineers.
One print or electronic copy may be made for personal use only. Systematic reproduction and distribution,
duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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Genre | |
Type | |
Language |
eng
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Date Available |
2012-03-05
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0107566
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URI | |
Affiliation | |
Citation |
Afsham, Narges; Najafi, Mohammad; Abolmaesumi, Purang; Rohling, Robert N. Out-of-plane motion estimation based on a Rician-Inverse Gaussian model of RF ultrasound signals: speckle tracking without fully developed speckle. Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, edited by Johan G. Bosch, Marvin M. Doyley Proceedings of SPIE, Volume 8320, 832017, 2012.
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Publisher DOI |
10.1117/12.911710
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Copyright Holder |
Rohling, Robert N.
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Rights URI | |
Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International