Performance analysis of a sum-table-based method for computing cross-correlation in GPU-accelerated ultrasound strain elastography
Document Type
Article
Publication Date
6-1-2019
Department
Department of Biomedical Engineering
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.
Publication Title
Opto-Electronic Engineering
Recommended Citation
Bo, P.,
Shasha, L.,
Feng, Y.,
&
Jiang, J.
(2019).
Performance analysis of a sum-table-based method for computing cross-correlation in GPU-accelerated ultrasound strain elastography.
Opto-Electronic Engineering,
46(6).
http://doi.org/10.12086/oee.2019.180437
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/389
Publisher's Statement
Publisher's version of record: https://doi.org/10.12086/oee.2019.180437