Fast GPU-beamforming of\\Row-Column Addressed Probe Data

Matthias Bo Stuart, Patrick Møller Jensen, Julian Thomas Reckeweg Olsen, Alexander Borch Kristensen, Mikkel Schou, Bernd Dammann, Hans Henrik Brandenborg Sørensen, Jørgen Arendt Jensen

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A delay-and-sum beamformer for 3D imaging using row-column arrays and written in CUDA is presented and compared to an existing similar GPU-based beamformer written in the MATLAB programming language. Data from a 192+192 rowcolumn array single element emission sequence is simulated and beamformed. The two beamformers’ performance is evaluated in two synthetic aperture setups comprised of 1) two orthogonal planes and 2) a full volume on three different NVIDIA GPUs: a 1050 Ti, a 1080 Ti, and a TITAN V. The execution time and the sample throughput (samples beamformed per second) are reported. The CUDA beamformer performs consistently better than the MATLAB beamformer with speed-ups ranging from 1.9 to 64.6 times, and the worst-case throughput of the CUDA beamformer exceeds the best-case of the MATLAB beamformer. High-resolution images of crossing planes can be beamformed at up to 13 Hz, while a 50-by-50-by-20 cubic-millimeter highresolution volume sampled at one quarter of a millimeter is beamformed in 3 seconds.
Original languageEnglish
Title of host publicationProceedings of 2019 IEEE International Ultrasonics Symposium
Number of pages4
Publication date2019
ISBN (Print)9781728145952
Publication statusPublished - 2019
Event2019 IEEE International Ultrasonics Symposium - SEC Glasgow, Glasgow, United Kingdom
Duration: 6 Oct 20199 Oct 2019


Conference2019 IEEE International Ultrasonics Symposium
LocationSEC Glasgow
Country/TerritoryUnited Kingdom
Internet address


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