TY - JOUR
T1 - Tetris
T2 - Using Software/Hardware Co-Design to Enable Handheld, Physics-Limited 3D Plane-Wave Ultrasound Imaging
AU - West, Brendan L.
AU - Zhou, Jian
AU - Dreslinksi, Ronald G.
AU - Kripfgans, Oliver D.
AU - Fowlkes, J. Brian
AU - Chakrabarti, Chaitali
AU - Wenisch, Thomas F.
N1 - Funding Information:
This work was supported in part by US National Science Foundation (NSF) under Grant CCF-1406739, and Grant NSF CCF-1406810, and in part by the Applications Driving Architectures (ADA) Research Center, a JUMP Center cosponsored by SRC and DARPA.
Publisher Copyright:
© 1968-2012 IEEE.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - High volume acquisition rates are imperative for certain medical ultrasound imaging applications, such as 3D elastography and 3D vector flow imaging. As ultrasound imaging transitions from 2D to 3D, the massive data bandwidth and billions of trigonometric operations required to reconstruct each volume leaves conventional computer architectures falling short. Despite recent algorithmic improvements, high-volume-rate ultrasound imaging remains computationally infeasible on known platforms. In this article, we expand our previous work on Tetris, a novel hardware accelerator for separable ultrasound beamforming that enables volume acquisition rates up to the physics limits of acoustic propagation delay. Through algorithmic and hardware optimizations, we enable an image reconstruction system design outclassing previously proposed accelerators in performance while lowering hardware complexity, storage, and power requirements. Tetris operates in a streaming fashion - without requiring on-chip storage of the entire receive signal - reconstructing volumes in real-time. For a representative imaging task, our proposed system generates physics-limited 13,000 volumes per second in a 2 watt power budget. The Tetris beamformer has an unprecedented power efficiency of 2.03 tera-beamforming operations per watt - an increase in efficiency of nearly 3× compared to the prior work.
AB - High volume acquisition rates are imperative for certain medical ultrasound imaging applications, such as 3D elastography and 3D vector flow imaging. As ultrasound imaging transitions from 2D to 3D, the massive data bandwidth and billions of trigonometric operations required to reconstruct each volume leaves conventional computer architectures falling short. Despite recent algorithmic improvements, high-volume-rate ultrasound imaging remains computationally infeasible on known platforms. In this article, we expand our previous work on Tetris, a novel hardware accelerator for separable ultrasound beamforming that enables volume acquisition rates up to the physics limits of acoustic propagation delay. Through algorithmic and hardware optimizations, we enable an image reconstruction system design outclassing previously proposed accelerators in performance while lowering hardware complexity, storage, and power requirements. Tetris operates in a streaming fashion - without requiring on-chip storage of the entire receive signal - reconstructing volumes in real-time. For a representative imaging task, our proposed system generates physics-limited 13,000 volumes per second in a 2 watt power budget. The Tetris beamformer has an unprecedented power efficiency of 2.03 tera-beamforming operations per watt - an increase in efficiency of nearly 3× compared to the prior work.
KW - Medical imaging
KW - accelerator
KW - beamforming
KW - plane-wave
KW - ultrasound
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U2 - 10.1109/TC.2020.2990061
DO - 10.1109/TC.2020.2990061
M3 - Article
AN - SCOPUS:85088370654
SN - 0018-9340
VL - 69
SP - 1209
EP - 1220
JO - IEEE Transactions on Computers
JF - IEEE Transactions on Computers
IS - 8
M1 - 9076801
ER -