In this paper, a flow estimation method based on transverse oscillation is applied, in high frame rate conditions, to the data collected using a convex array. All simulations were based on the transmission of the "natural" diverging wave due to the convex geometry of the probe when all elements are simultaneously excited. Transverse oscillation was introduced in the tangential direction in post-acquisition in the Fourier domain. Finally, 2D velocity vectors were extracted thanks to a phase-based estimator. Velocities were estimated with a bias of 8% of the peak velocity and a standard deviation lower than 7 %. The method is now ready for experimental tests on flow phantoms and in vivo studies.

High Frame Rate Vector Flow Imaging with a Convex Array in a simulated vessel phantom / Nina Ghigo, Vincent Perrot, Brahim Harbaoui, Anne Long, Stefano Ricci, Piero Tortoli, Didier Vray, Hervé Liebgott. - ELETTRONICO. - (2019), pp. 356-359. (Intervento presentato al convegno IEEE International Ultrasonics Symposium tenutosi a Glasgow nel 6-9 ottobre 2019) [10.1109/ULTSYM.2019.8925612].

High Frame Rate Vector Flow Imaging with a Convex Array in a simulated vessel phantom

GHIGO, NINA, NELLY, FRANCESCA
Membro del Collaboration Group
;
Stefano Ricci
Supervision
;
Piero Tortoli
Supervision
;
2019

Abstract

In this paper, a flow estimation method based on transverse oscillation is applied, in high frame rate conditions, to the data collected using a convex array. All simulations were based on the transmission of the "natural" diverging wave due to the convex geometry of the probe when all elements are simultaneously excited. Transverse oscillation was introduced in the tangential direction in post-acquisition in the Fourier domain. Finally, 2D velocity vectors were extracted thanks to a phase-based estimator. Velocities were estimated with a bias of 8% of the peak velocity and a standard deviation lower than 7 %. The method is now ready for experimental tests on flow phantoms and in vivo studies.
2019
IEEE UFFC IUS Glasgow 2019
IEEE International Ultrasonics Symposium
Glasgow
6-9 ottobre 2019
Nina Ghigo, Vincent Perrot, Brahim Harbaoui, Anne Long, Stefano Ricci, Piero Tortoli, Didier Vray, Hervé Liebgott
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1174199
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