3-D synthetic aperture high volume rate tensor velocity imaging using 1024 element matrix probe

Fatemeh Makouei, Babak Mohammadzadeh Asl, Lasse Thurmann Jorgensen, Borislav Gueorguiev Tomov, Matthias Bo Stuart, Jorgen Arendt Jensen

2 Citations (Scopus)

Abstract

Tensor velocity imaging (TVI) in a 3-D volume is investigated through simulations and experiments conducted using a Vermon 3 MHz 1024 element phased array (Vermon S.A., Tours, France) along with the experimental scanner SARUS. The flow-rig with a parabolic flow profile was positioned along the x direction. The data is acquired by a recursive interleaved synthetic aperture sequence with 5 emissions at a pulse repetition frequency of 5 kHz to produce estimates at a volume rate of 500 Hz. A directional transverse oscillations velocity estimator based on cross-correlation is used to estimate the velocity components in the three Cartesian directions. The simulations were performed at peak velocities (v{p}) from 0.1 m/s to 1 m/s. At v{p}=mathbf{1} m/s, the estimates were achieved with relative mean bias (RB) less than -13.3% and relative mean standard deviation (RSD) less than 5%. The experiments were conducted at a v{p} of 0.25 m/s, and the estimates for (v{x}, v{y}, v{z}) were obtained with RBs of (5.35, 3.02, 1.00)% and RSDs of (5.03, 4.87, 1.27)%.

Original languageEnglish
Title of host publicationIUS 2020 - International Ultrasonics Symposium, Proceedings
PublisherIEEE Computer Society Press
Publication date7 Sept 2020
Article number9251377
ISBN (Electronic)9781728154480
DOIs
Publication statusPublished - 7 Sept 2020
Event2020 IEEE International Ultrasonics Symposium, IUS 2020 - Las Vegas, United States
Duration: 7 Sept 202011 Sept 2020

Conference

Conference2020 IEEE International Ultrasonics Symposium, IUS 2020
Country/TerritoryUnited States
CityLas Vegas
Period07/09/202011/09/2020
SponsorDaxsonics Ultrasound, et al., Fujifilm VisualSonics, Inc, Polytec, us4us Ltd., Verasonics
SeriesIEEE International Ultrasonics Symposium, IUS
Volume2020-September
ISSN1948-5719

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