• Opto-Electronic Engineering
  • Vol. 43, Issue 6, 83 (2016)
PENG Bo* and HUANG Li
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2016.06.014 Cite this Article
    PENG Bo, HUANG Li. GPU-accelerated Sub-sample Displacement Estimation Method for Real-time Ultrasound Elastography[J]. Opto-Electronic Engineering, 2016, 43(6): 83 Copy Citation Text show less

    Abstract

    Highly accurate displacement estimation method is critical for Ultrasound Elastography. In this study, a novel sub-sample displacement estimation algorithm where axial and lateral motion estimates are simultaneously performed to enhance the accuracy of motion tracking the proposed method has been implemented in CUDA. Compared to the original C Mex (MATLAB VERSION 2014B, Mathswork Inc., MA, USA) implementation, the GPU implementation showed a factor of 70+ acceleration while maintaining the excellent motion tracking accuracy.
    PENG Bo, HUANG Li. GPU-accelerated Sub-sample Displacement Estimation Method for Real-time Ultrasound Elastography[J]. Opto-Electronic Engineering, 2016, 43(6): 83
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