A GPU-based real-time spatial coherence imaging system

Published

Journal Article

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. © 2013 SPIE.

Full Text

Duke Authors

Cited Authors

  • Hyun, D; Trahey, GE; Dahl, J

Published Date

  • June 5, 2013

Published In

Volume / Issue

  • 8675 /

International Standard Serial Number (ISSN)

  • 1605-7422

Digital Object Identifier (DOI)

  • 10.1117/12.2008686

Citation Source

  • Scopus