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GPU-Based Adaptive Beamformer for Medical Ultrasound Imaging

Publish Year: 1391
Type: Conference paper
Language: English
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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