A GPU-based real-time spatial coherence imaging system

Dongwoon Hyun; Gregg E. Trahey; Jeremy Dahl

doi:10.1117/12.2008686

29 March 2013 A GPU-based real-time spatial coherence imaging system

Dongwoon Hyun, Gregg E. Trahey, Jeremy Dahl

Proceedings Volume 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy; 86751B (2013) https://doi.org/10.1117/12.2008686
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

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.

Citation Download Citation

Dongwoon Hyun, Gregg E. Trahey, and Jeremy Dahl "A GPU-based real-time spatial coherence imaging system", Proc. SPIE 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy, 86751B (29 March 2013); https://doi.org/10.1117/12.2008686

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