GPU-Based Adaptive Beamformer for Medical Ultrasound Imaging
Publish place: 19th Iranian conference on Biomedical Engineering
Publish Year: 1391
Type: Conference paper
Language: English
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Document National Code:
ICBME19_058
Index date: 29 January 2014
GPU-Based Adaptive Beamformer for Medical Ultrasound Imaging abstract
Minimum Variance (MV) adaptive beamforming technique is attractive as it is capable of producing high quality images with narrow mainlobe width and low sidelobe level. However, because of its substantially higher computational requirements, realizing MV in real-time is difficult. Recent advancements in commodity Graphical Processing Units have made very high performance computing possible at very affordable price. The use of GPUs, which are programmable devices with a high level of parallelism, can accelerate the computations of the beamforming process. In this paper, our primary results of implementing simple adaptive bemformer on GPU were presented.
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GPU-Based Adaptive Beamformer for Medical Ultrasound Imaging authors
Yaser Fathi
Department of Electrical and Computer Engineering, Ultrasonic Lab Tarbiat Modares University
Ali Mahloojifar
Department of Electrical and Computer Engineering, Ultrasonic Lab Tarbiat Modares University
Babak Mohammadzadeh Asl
Department of Electrical and Computer Engineering, Ultrasonic Lab Tarbiat Modares University