• Opto-Electronic Engineering
  • Vol. 46, Issue 6, 180437 (2019)
Peng Bo1、*, Luo Shasha1, Yang Feng1, and Jiang Jinfeng2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.12086/oee.2019.180437 Cite this Article
    Peng Bo, Luo Shasha, Yang Feng, Jiang Jinfeng. Performance analysis of a sum-table-based method for computing cross-correlation in GPU-accelerated ultrasound strain elastography[J]. Opto-Electronic Engineering, 2019, 46(6): 180437 Copy Citation Text show less

    Abstract

    The calculation of correlation is critically important for ultrasound strain elastography. The sum-table based method for the calculation of the normalized correlation coefficient (ST-NCC) can greatly improve computational efficiency under an environment of serial computing. Its implementation and performance are yet to be investigated when given a parallel computing platform, particularly, under a GPU environment. In this study, the published ST-NCC method was implemented into GPU and its performance was evaluated for speckle tracking. Particularly, the performance of the ST-NCC method was compared to the classic method of computing NCC using simulated ultrasound data. Our preliminary results indicated that, under the GPU platform, the implemented ST-NCC method did not further improve the computational efficiency, as compared to the classic NCC method implemented into the same GPU platform.
    Peng Bo, Luo Shasha, Yang Feng, Jiang Jinfeng. Performance analysis of a sum-table-based method for computing cross-correlation in GPU-accelerated ultrasound strain elastography[J]. Opto-Electronic Engineering, 2019, 46(6): 180437
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