KEYWORDS: Imaging systems, Signal to noise ratio, Gallbladder, In vivo imaging, Transducers, MATLAB, Spatial coherence, Liver, Image transmission, Real time imaging
Advanced ultrasonic beamforming techniques are often computationally intensive and difficult to implement in real-time. GPU computing has become a vital tool for software beamforming because of its massive parallel computing capabilities. However, GPU-based software beamforming has not yet been integrated into a real-time imaging system. We have recently introduced short-lag spatial coherence (SLSC) imaging as a coherence-based beamforming technique that is more robust to clutter than conventional B-mode imaging. The algorithm is computationally expensive, and has been limited to offline processing to date. By combining SLSC beamforming on the GPU with a Verasonics ultrasound scanner, we have realized a real-time side-by-side B-mode and SLSC imaging system capable of achieving up to 6 frames per second (fps). We demonstrate the system's real-time capabilities with phantom and in vivo scans, and briefly examine the relative performance of B-mode and SLSC imaging.
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