Real-time GPU implementation of transverse oscillation vector velocity flow imaging

Conference Paper

Rapid estimation of blood velocity and visualization of complex flow patterns are important for clinical use of diagnostic ultrasound. This paper presents real-time processing for two-dimensional (2-D) vector flow imaging which utilizes an off-the-shelf graphics processing unit (GPU). In this work, Open Computing Language (OpenCL) is used to estimate 2-D vector velocity flow in vivo in the carotid artery. Data are streamed live from a BK Medical 2202 Pro Focus UltraView Scanner to a workstation running a research interface software platform. Processing data from a 50 millisecond frame of a duplex vector flow acquisition takes 2.3 milliseconds seconds on an Advanced Micro Devices Radeon HD 7850 GPU card. The detected velocities are accurate to within the precision limit of the output format of the display routine. Because this tool was developed as a module external to the scanner's built-in processing, it enables new opportunities for prototyping novel algorithms, optimizing processing parameters, and accelerating the path from development lab to clinic. © 2014 SPIE.

Full Text

Duke Authors

Cited Authors

  • Bradway, DP; Pihl, MJ; Krebs, A; Tomov, BG; Kjær, CS; Nikolov, SI; Jensen, JA

Published Date

  • January 1, 2014

Published In

Volume / Issue

  • 9040 /

International Standard Serial Number (ISSN)

  • 1605-7422

International Standard Book Number 13 (ISBN-13)

  • 9780819498335

Digital Object Identifier (DOI)

  • 10.1117/12.2043582

Citation Source

  • Scopus