Tensor Velocity Imaging with Motion Correction

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Abstract

Volumetric synthetic aperture imaging allows for tensor velocities to be estimated in the entire image volume at high frame rates. However, the approach assumes that scatterers are stationary across the low-resolution images. If not, motion effects can cause a severe decrease in the accuracy of the velocity estimates. This paper presents a motion compensation procedure that reduces motion effects in synthetic aperture tensor velocity estimates acquired with a row-column addressed probe. The procedure reduces the motion effects by translating the image coordinates of the low-resolution images with the velocity field. The velocity field is estimated using a transverse oscillation crosscorrelation estimator, and the flow measurements are acquired using a 3 MHz row-column addressed probe and the research scanner SARUS. For a peak velocity of 25 cm/s, a pulse repetition frequency of 2 kHz, and a beam-to-flow of 60 degrees, the proposed motion compensation procedure was able to reduce the relative bias from -27.0% to -8.3% without impacting the relative mean standard deviation of 8.8%±0.1%.
Original languageEnglish
Title of host publication2020 IEEE International Ultrasonics Symposium
Number of pages4
PublisherIEEE
Publication date2020
ISBN (Print)978-1-7281-5449-7
ISBN (Electronic)978-1-7281-5448-0
DOIs
Publication statusPublished - 2020
Event2020 IEEE International Ultrasonics Symposium - Virtual symposium, Las Vegas, United States
Duration: 6 Sep 202011 Sep 2020
https://2020.ieee-ius.org/

Conference

Conference2020 IEEE International Ultrasonics Symposium
LocationVirtual symposium
CountryUnited States
CityLas Vegas
Period06/09/202011/09/2020
Internet address

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