SIGN-IN

Publication: A Scalable Parallel Implementation of a k-Space Method for Large-Scale Ultrasound Imaging Simulations

All || By Area || By Year

Title A Scalable Parallel Implementation of a k-Space Method for Large-Scale Ultrasound Imaging Simulations
Authors/Editors* Mohammad I. Daoud, Yi-Ting Shen, and James C. Lacefield
Where published* IEEE International Ultrasonics Symposium
How published* Proceedings
Year* 2006
Volume -1
Number -1
Pages
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Keywords
Link
Abstract
Two-dimensional (2-D) and three-dimensional (3-D) simulations of ultrasound pulse propagation in soft tissue provide an important tool in medical imaging research. However, large-scale 2-D and 3-D ultrasound simulations require long execution times on serial computers. Parallel computing provides a promising approach to large-scale ultrasound simulations with feasible execution times. In this paper, we present two parallel implementations of a k-space method used for ultrasound simulation. The first implementation divides the simulation grid between the nodes of a computer cluster, while the second implementation runs multiple simulated scan lines concurrently on a computer cluster. The results demonstrate the efficiency of parallel computing for ultrasound simulations with short running times. For example, with 40 processors, the ultrasound simulator that computes the simulated scan lines concurrently is 39.57 ± 0.43 faster than the serial ultrasound simulator.
Go to Biomedical Modeling and Simulation
Back to page 83 of list