GPU-Based Adaptive Beamformer for Medical Ultrasound Imaging
محل انتشار: نوزدهمین کنفرانس مهندسی پزشکی ایران
سال انتشار: 1391
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,230
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شناسه ملی سند علمی:
ICBME19_058
تاریخ نمایه سازی: 9 بهمن 1392
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
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