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A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry

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Pattern Recognition (GCPR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10496))

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Abstract

We present a simple and efficient approach to plane wave ultrasound particle image velocimetry (Echo PIV). Specifically, a carefully designed bank of local motion-sensitive filters is introduced, together with a method for non-linear flow parameter estimation based on time-averaged local flow estimates. The approach is validated and quantitatively assessed using both simulated and in-vitro real data, in scenarios with laminar as well as with turbulent flow.

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Authors and Affiliations

  1. Mathematical Imaging Group, Heidelberg University, Heidelberg, Germany

    Ecaterina Bodnariuc & Stefania Petra

  2. Image and Pattern Analysis Group, Heidelberg University, Heidelberg, Germany

    Christoph Schnörr

  3. Department of Biomedical Engineering, Erasmus MC, Thorax Center, Rotterdam, The Netherlands

    Jason Voorneveld

Authors
  1. Ecaterina Bodnariuc
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  2. Stefania Petra
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  3. Christoph Schnörr
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  4. Jason Voorneveld
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Corresponding author

Correspondence to Stefania Petra .

Editor information

Editors and Affiliations

  1. University of Basel, Basel, Switzerland

    Volker Roth

  2. University of Basel, Basel, Switzerland

    Thomas Vetter

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Bodnariuc, E., Petra, S., Schnörr, C., Voorneveld, J. (2017). A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry. In: Roth, V., Vetter, T. (eds) Pattern Recognition. GCPR 2017. Lecture Notes in Computer Science(), vol 10496. Springer, Cham. https://doi.org/10.1007/978-3-319-66709-6_12

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  • DOI: https://doi.org/10.1007/978-3-319-66709-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66708-9

  • Online ISBN: 978-3-319-66709-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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