A local spatio-temporal approach to plane wave ultrasound particle image velocimetry

Ecaterina Bodnariuc; Stefania Petra; Christoph Schnörr; Jason Voorneveld

doi:10.1007/978-3-319-66709-6_12

A local spatio-temporal approach to plane wave ultrasound particle image velocimetry

Ecaterina Bodnariuc, Stefania Petra^*, Christoph Schnörr, Jason Voorneveld

^*Corresponding author for this work

Cardiology

Research output: Contribution to journal › Conference article › Academic › peer-review

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.

Original language	English
Pages (from-to)	138-149
Number of pages	12
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOIs	https://doi.org/10.1007/978-3-319-66709-6_12
Publication status	Published - 2017
Event	39th German Conference on Pattern Recognition, GCPR 2017 - Basel, Switzerland Duration: 12 Sep 2017 → 15 Sep 2017

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Publisher Copyright: © Springer International Publishing AG 2017.

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10.1007/978-3-319-66709-6_12

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title = "A local spatio-temporal approach to plane wave ultrasound particle image velocimetry",

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.",

author = "Ecaterina Bodnariuc and Stefania Petra and Christoph Schn{\"o}rr and Jason Voorneveld",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 39th German Conference on Pattern Recognition, GCPR 2017 ; Conference date: 12-09-2017 Through 15-09-2017",

year = "2017",

doi = "10.1007/978-3-319-66709-6_12",

language = "English",

pages = "138--149",

journal = "Lecture Notes in Computer Science",

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A local spatio-temporal approach to plane wave ultrasound particle image velocimetry. / Bodnariuc, Ecaterina; Petra, Stefania; Schnörr, Christoph et al.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, p. 138-149.

Research output: Contribution to journal › Conference article › Academic › peer-review

TY - JOUR

T1 - A local spatio-temporal approach to plane wave ultrasound particle image velocimetry

AU - Bodnariuc, Ecaterina

AU - Petra, Stefania

AU - Schnörr, Christoph

AU - Voorneveld, Jason

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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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DO - 10.1007/978-3-319-66709-6_12

M3 - Conference article

AN - SCOPUS:85029591803

SP - 138

EP - 149

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

T2 - 39th German Conference on Pattern Recognition, GCPR 2017

Y2 - 12 September 2017 through 15 September 2017

ER -

A local spatio-temporal approach to plane wave ultrasound particle image velocimetry

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