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

doi:10.1109/ultsym.2019.8925802

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

Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

457 Downloads (Orbit)

Abstract

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 language	English
Title of host publication	Proceedings of 2019 IEEE International Ultrasonics Symposium
Number of pages	4
Publisher	IEEE
Publication date	2019
Pages	1497-1500
ISBN (Print)	9781728145952
DOIs	https://doi.org/10.1109/ultsym.2019.8925802
Publication status	Published - 2019
Event	2019 IEEE International Ultrasonics Symposium - SEC Glasgow, Glasgow, United Kingdom Duration: 6 Oct 2019 → 9 Oct 2019 http://attend.ieee.org/ius-2019/

Conference

Conference	2019 IEEE International Ultrasonics Symposium
Location	SEC Glasgow
Country/Territory	United Kingdom
City	Glasgow
Period	06/10/2019 → 09/10/2019
Internet address	http://attend.ieee.org/ius-2019/

Access to Document

10.1109/ultsym.2019.8925802

FulltextAccepted author manuscript, 218 KB

OpenUrl availability

Full text

Cite this

@inproceedings{48f640801c094cd7876ba272d0f1bd04,

title = "Fast GPU-beamforming of\textbackslash{}\textbackslash{}Row-Column Addressed Probe Data",

abstract = "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{\textquoteright} 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.",

author = "Stuart, \{Matthias Bo\} and Jensen, \{Patrick M{\o}ller\} and Olsen, \{Julian Thomas Reckeweg\} and Kristensen, \{Alexander Borch\} and Mikkel Schou and Bernd Dammann and S{\o}rensen, \{Hans Henrik Brandenborg\} and Jensen, \{J{\o}rgen Arendt\}",

year = "2019",

doi = "10.1109/ultsym.2019.8925802",

language = "English",

isbn = "9781728145952 ",

pages = "1497--1500",

booktitle = "Proceedings of 2019 IEEE International Ultrasonics Symposium",

publisher = "IEEE",

address = "United States",

note = "2019 IEEE International Ultrasonics Symposium, IUS 2019 ; Conference date: 06-10-2019 Through 09-10-2019",

url = "http://attend.ieee.org/ius-2019/",

}

Stuart, MB, Jensen, PM, Olsen, JTR, Kristensen, AB, Schou, M, Dammann, B , Sørensen, HHB & Jensen, JA 2019, Fast GPU-beamforming of\\Row-Column Addressed Probe Data. in Proceedings of 2019 IEEE International Ultrasonics Symposium. IEEE, pp. 1497-1500, 2019 IEEE International Ultrasonics Symposium, Glasgow, United Kingdom, 06/10/2019. https://doi.org/10.1109/ultsym.2019.8925802

TY - GEN

T1 - Fast GPU-beamforming of\\Row-Column Addressed Probe Data

AU - Stuart, Matthias Bo

AU - Jensen, Patrick Møller

AU - Olsen, Julian Thomas Reckeweg

AU - Kristensen, Alexander Borch

AU - Schou, Mikkel

AU - Dammann, Bernd

AU - Sørensen, Hans Henrik Brandenborg

AU - Jensen, Jørgen Arendt

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

U2 - 10.1109/ultsym.2019.8925802

DO - 10.1109/ultsym.2019.8925802

M3 - Article in proceedings

SN - 9781728145952

SP - 1497

EP - 1500

BT - Proceedings of 2019 IEEE International Ultrasonics Symposium

PB - IEEE

T2 - 2019 IEEE International Ultrasonics Symposium

Y2 - 6 October 2019 through 9 October 2019

ER -

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

Abstract

Conference

Access to Document

OpenUrl availability

Fingerprint

Cite this