A GPU-Accelerated 3-D Coupled Subsample Estimation Algorithm for Volumetric Breast Strain Elastography
Document Type
Article
Publication Date
4-1-2017
Abstract
© 2017 IEEE. Our primary objective of this paper was to extend a previously published 2-D coupled subsample tracking algorithm for 3-D speckle tracking in the framework of ultrasound breast strain elastography. In order to overcome heavy computational cost, we investigated the use of a graphic processing unit (GPU) to accelerate the 3-D coupled subsample speckle tracking method. The performance of the proposed GPU implementation was tested using a tissue-mimicking phantom and in vivo breast ultrasound data. The performance of this 3-D subsample tracking algorithm was compared with the conventional 3-D quadratic subsample estimation algorithm. On the basis of these evaluations, we concluded that the GPU implementation of this 3-D subsample estimation algorithm can provide high-quality strain data (i.e., high correlation between the predeformation and the motion-compensated postdeformation radio frequency echo data and high contrast-to-noise ratio strain images), as compared with the conventional 3-D quadratic subsample algorithm. Using the GPU implementation of the 3-D speckle tracking algorithm, volumetric strain data can be achieved relatively fast (approximately 20 s per volume [2.5 cm × 2.5 cm × 2.5 cm]).
Publication Title
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Recommended Citation
Peng, B.,
Wang, Y.,
Hall, T.,
&
Jiang, J.
(2017).
A GPU-Accelerated 3-D Coupled Subsample Estimation Algorithm for Volumetric Breast Strain Elastography.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control,
64(4), 694-705.
http://doi.org/10.1109/TUFFC.2017.2661821
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/11141