NDLI: Real-time processing in dynamic ultrasound elastography: A GPU-based implementation using CUDA

Content Provider	IEEE Xplore Digital Library
Author	Montagnon, E. Hissoiny, S. Despres, P. Cloutier, G.
Copyright Year	2012
Description	Author affiliation: Department of Radiation Oncology, Université de Montréal Hospital (CHUM), Québec H2L 4M1, Canada (Despres, P.) \|\| Department of Computer and Software Engineering, ÉcolePolytechnique de Montréal, Québec H3T 1J4, Canada (Hissoiny, S.) \|\| Laboratory of Biorheology and Medical Ultrasonics, Université de Montréal Hospital Research Center (CRCHUM), Québec H2L 2W5, Canada (Montagnon, E.; Cloutier, G.)
Abstract	This paper addresses the computational cost of the normalized cross-correlation (NCC) algorithm in ultrasound elastography. Parallel implementations of the NCC algorithm based on multicore architectures and a graphical processor unit (GPU) are formulated and applied to radio-frequency (RF) data from dynamic elastography experiments. Compared to single computer processor unit (CPU) performances, results show that parallel implementation of the NCC algorithm allows speedups of less than 5 for multi-threaded execution on CPU and up to 85 using a GPU. Processing frame rates from 80 to 173 $sec^{−1}$ have been achieved for large fields of view with good spatial resolution. The trade-off between accuracy, spatial resolution and computational cost in displacement estimation using the NCC algorithm therefore appears obsolete. Open source codes for implementing the NCC algorithm on GPU are made available at www.lbum-crchum.com.
Starting Page	472
Ending Page	477
File Size	307672
Page Count	6
File Format	PDF
ISBN	9781467303811
e-ISBN	9781467303828
e-ISBN	9781467303804
DOI	10.1109/ISSPA.2012.6310597
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing unit Ultrasonic imaging Instruction sets Heuristic algorithms Acoustics Computational efficiency Estimation parallel computing Ultrasound elastography displacement estimation
Content Type	Text
Resource Type	Article

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