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Journal article · Ahead of Print article

Three-Dimensional Super Resolution Imaging using a Row-Column Array

From

Center for Fast Ultrasound Imaging, Biomedical Engineering, Department of Health Technology, Technical University of Denmark1

Biomedical Engineering, Department of Health Technology, Technical University of Denmark2

Department of Health Technology, Technical University of Denmark3

Mems Applied Sensors Group, Biomedical Engineering, Department of Health Technology, Technical University of Denmark4

Cellular Signalling & Biotransport, Biomedical Engineering, Department of Health Technology, Technical University of Denmark5

BK Medical ApS6

Polymer Cell, Immunobiology and Biomimetics, Department of Health Technology, Technical University of Denmark7

Immunobiology and Biomimetics, Department of Health Technology, Technical University of Denmark8

A 3-D super resolution (SR) pipeline based on data from a Row-Column (RC) array is presented. The 3 MHz RC array contains 62 rows and 62 columns with a half wavelength pitch. A Synthetic Aperture (SA) pulse inversion sequence with 32 positive and 32 negative row emissions are used for acquiring volumetric data using the SARUS research ultrasound scanner.

Data received on the 62 columns are beamformed on a GPU for a maximum volume rate of 156Hz, when the pulse repetition frequency is 10 kHz. Simulated and 3-D printed point and flow micro-phantoms are used for investigating the approach. The flow micro-phantom contains a 100 µm radius tube injected with the contrast agent SonoVue.

The 3-D processing pipeline uses the volumetric envelope data to find the bubble’s positions from their interpolated maximum signal and yields a high resolution in all three coordinates. For the point micro-phantom the standard deviation on the position is (20.7,19.8,9.1) µm (x,y,z). The precision estimated for the flow phantom is below 23 µmin all three coordinates, making it possible to locate structures on the order of a capillary in all three dimensions.

The RC imaging sequence’s point spread function has a size of 0.58 × 1.05 × 0.31 mm3 (1.17λ×2.12λ×0.63λ), so the possible volume resolution is 28,900 times smaller than for SA RC B-mode imaging.

Language: English
Publisher: IEEE
Year: 2020
Pages: 538-546
ISSN: 15258955 and 08853010
Types: Journal article and Ahead of Print article
DOI: 10.1109/TUFFC.2019.2948563
ORCIDs: Jensen, Jørgen Arendt , Sams, Thomas , Stuart, Matthias Bo , 0000-0002-8236-3416 , Ommen, Martin Lind , Øygard, Sigrid Husebø , Thomsen, Erik Vilain , Larsen, Niels Bent and Tomov, Borislav Gueorguiev

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