Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV

Bodnariuc, Ecaterina; Gurung, Arati; Petra, Stefania; Schnörr, Christoph

doi:10.1007/978-3-319-14612-6_28

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Cited by 3 publications

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“…This data is generally converted to an image and processed, while other processing methods can be formulated specifically for data of this nature (Bodnariuc et al 2015). The original RF signal contains more information than the B-mode images.…”

Section: Discussionmentioning

confidence: 99%

Ultrasound Imaging Velocimetry: a review

Poelma

2016

Exp Fluids

111

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Section: Discussionmentioning

confidence: 99%

Ultrasound Imaging Velocimetry: a review

Poelma

2016

Exp Fluids

111

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“…We propose a novel global approach to estimate the maximum flow velocity v m by exploiting geometry of the spectrum of the image sequence signal in the spatio-temporal Fourier domain. Compared to dictionary-based velocimetry [BPPS16,BGPS15], the proposed method handles the noise better and reduces the computational cost.…”

Section: Related Work and Contributionmentioning

confidence: 99%

A Spectral Approach to Peak Velocity Estimation of Pipe Flows from Noisy Image Sequences

Bodnariuc

2018

Analele Universitatii "Ovidius" Constanta - Seria Matematica

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Motivated by plane wave ultrasound image velocimetry (a.k.a. Echo PIV), we introduce a novel method to globally estimate the velocity field of a laminar and steady flow from the motion of tracer particles. Our approach exploits the fact that the equation of motion for pipe flows of constant circular cross-section is governed by a single global but unknown parameter. We connect this parameter to the Fourier spectrum of the input image sequence of the tracer particles and formulate our motion estimation problem as a spectral support estimation problem. The approach is validated on both simulated and experimental real data. It returns accurate velocity estimates after few seconds runtime and effectively copes with speckle patterns and noise.

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