@inproceedings{092c4a18de7842e496915fc3cead27d6,
title = "Ultrasound over Ethernet: Pathway to Enormous Channel Count Ultrasound System",
abstract = "Ultrafast ultrasound serves as the foundation for many advanced imaging methods such as ultrafast power Doppler, ultrasound localization microscopy, and functional ultrasound. Recent efforts have aimed at upgrading these techniques to 3D and even 4D imaging. However, the high cost of systems with enormous channel count has hindered the widespread adoption of 3D ultrafast ultrasound with uncompromised volume rates. A key bottleneck is the limited scalability of current ultrasound research platforms. To solve this problem, we propose transferring ultrasound data over Ethernet using a lightweight remote FPGA direct memory access (RFDMA) protocol. This protocol facilitates the direct transfer of ultrafast ultrasound data between FPGAs over Ethernet without CPU intervention, achieving a data transfer rate of 1.1 GB/s via a low-cost commercial off-the-shelf 10Gb Ethernet switch.",
keywords = "3D Ultrasound, Ethernet, FPGA, Ultrafast Ultrasound",
author = "Zhengchang Kou and Marcia Yu and Qinglin Ge and Wesley Pang and Oelze, {Michael L.}",
note = "This work was supported by Beckman Institute Postdoctoral Fellowship and grants from the NIH (R01CA251939 and R01CA273700); 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 ; Conference date: 22-09-2024 Through 26-09-2024",
year = "2024",
doi = "10.1109/UFFC-JS60046.2024.10794087",
language = "English (US)",
series = "IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 - Proceedings",
address = "United States",
}