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Conference paper

Vector Velocity Estimation for Portable Ultrasound using Directional Transverse Oscillation and Synthetic Aperture Sequential Beamforming

From

Department of Electrical Engineering, Technical University of Denmark1

Biomedical Engineering, Department of Electrical Engineering, Technical University of Denmark2

Center for Fast Ultrasound Imaging, Centers, Technical University of Denmark3

In this paper, a vector flow imaging method is presented, which combines the directional transverse oscillation approach with synthetic aperture sequential beamforming to achieve an efficient estimation of the velocities. A double oscillating field is synthesized using two sets of focused emissions separated by a distance in the lateral direction.

A low resolution line (LRL) is created for each emission in the first stage beamformer, and a second beamformer provides the high resolution data used for the velocity estimation. The method makes it possible to have continuously available data in the whole image. Therefore, high and low velocities can be estimated with a high frame rate and a low standard deviation.

The first stage is a fixed-focus beamformer that can be integrated in the transducer handle, enabling the wireless transmission of the LRLs. The approach does not require any angle compensation or prior knowledge on the beam-to-flow angle. The feasibility of the method is demonstrated through simulations and flow rig measurements of a parabolic flow in a vessel at 90-degree beam-to-flow angle.

The mean bias obtained from 50 independent measurements is equal to -0.67% for the lateral profile and - 0.43% for the axial profile. The relative standard deviation is 3.19% and 0.47% for the lateral and axial profiles. It is, therefore, demonstrated that vector velocity estimation can be efficiently integrated in a portable ultrasound scanner with state-of-the-art performance.

Language: English
Publisher: IEEE
Year: 2016
Pages: 1-4
Proceedings: 2016 IEEE International Ultrasonics Symposium
ISBN: 1467398977 , 1467398985 , 9781467398978 and 9781467398985
ISSN: 19485727
Types: Conference paper
DOI: 10.1109/ULTSYM.2016.7728777
ORCIDs: di Ianni, Tommaso and Jensen, Jørgen Arendt

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