Title :
GPU-based adaptive beamformer for medical ultrasound imaging
Author :
Fathi, Yaser ; Mahloojifar, Ali ; Asl, Babak Mohammadzadeh
Author_Institution :
Department of Electrical and Computer Engineering, Ultrasonic Lab, Tarbiat Modares University, Tehran, Iran
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.
Keywords :
GPU; Ultrasound imaging; adaptive beamforming;
Conference_Titel :
Biomedical Engineering (ICBME), 2012 19th Iranian Conference of
Conference_Location :
Tehran, Iran
Print_ISBN :
978-1-4673-3128-9
DOI :
10.1109/ICBME.2012.6519668
