GPU-BASED ADAPTIVE BEAMFORMER FOR MEDICAL ULTRASOUND IMAGING

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Fathi Yaser; Mahloojifar ali; MOHAMMADZADEH ASL BABAK

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Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Year:2012 | Issue:19

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Information Seminar Paper

Title

GPU-BASED ADAPTIVE BEAMFORMER FOR MEDICAL ULTRASOUND IMAGING

Author(s)

Fathi Yaser | Mahloojifar ali | MOHAMMADZADEH ASL BABAK

Keywords

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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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APA: Copy

Fathi, Yaser, Mahloojifar, ali, & MOHAMMADZADEH ASL, BABAK. (2012). GPU-BASED ADAPTIVE BEAMFORMER FOR MEDICAL ULTRASOUND IMAGING. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/926075/en

Vancouver: Copy

Fathi Yaser, Mahloojifar ali, MOHAMMADZADEH ASL BABAK. GPU-BASED ADAPTIVE BEAMFORMER FOR MEDICAL ULTRASOUND IMAGING. 2012. Available from: https://sid.ir/paper/926075/en

IEEE: Copy

Yaser Fathi, ali Mahloojifar, and BABAK MOHAMMADZADEH ASL, “GPU-BASED ADAPTIVE BEAMFORMER FOR MEDICAL ULTRASOUND IMAGING,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2012, [Online]. Available: https://sid.ir/paper/926075/en

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