GPU-based Green's function simulations of shear waves generated by an applied acoustic radiation force in elastic and viscoelastic models

Yiqun Yang, Matthew W Urban, Robert J. McGough

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Shear wave calculations induced by an acoustic radiation force are very time-consuming on desktop computers, and high-performance graphics processing units (GPUs) achieve dramatic reductions in the computation time for these simulations. The acoustic radiation force is calculated using the fast near field method and the angular spectrum approach, and then the shear waves are calculated in parallel with Green's functions on a GPU. This combination enables rapid evaluation of shear waves for push beams with different spatial samplings and for apertures with different f/#. Relative to shear wave simulations that evaluate the same algorithm on an Intel i7 desktop computer, a high performance nVidia GPU reduces the time required for these calculations by a factor of 45 and 700 when applied to elastic and viscoelastic shear wave simulation models, respectively. These GPU-accelerated simulations also compared to measurements in different viscoelastic phantoms, and the results are similar. For parametric evaluations and for comparisons with measured shear wave data, shear wave simulations with the Green's function approach are ideally suited for high-performance GPUs.

Original languageEnglish (US)
Article number10NT01
JournalPhysics in Medicine and Biology
Volume63
Issue number10
DOIs
StatePublished - May 15 2018

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Acoustics
Radiation

Keywords

  • acoustic radiation force
  • GPU
  • Greens function
  • shear waves
  • ultrasound

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

Cite this

GPU-based Green's function simulations of shear waves generated by an applied acoustic radiation force in elastic and viscoelastic models. / Yang, Yiqun; Urban, Matthew W; McGough, Robert J.

In: Physics in Medicine and Biology, Vol. 63, No. 10, 10NT01, 15.05.2018.

Research output: Contribution to journalArticle

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