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Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

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Published on: April 1, 2020

Software beamforming: comparison between a phased array and synthetic transmit aperture.

Yen-Feng Li1, Pai-Chi Li

  • 1Graduate Institute of Biomedical Electronics and Bioinformatics, Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.

Ultrasonic Imaging
|June 30, 2011
PubMed
Summary
This summary is machine-generated.

Software-based beamforming using synthetic transmit aperture (STA) reduces data transfer needs compared to phased array (PA), enabling real-time performance. Graphics Processing Units (GPUs) offer advantages over Central Processing Units (CPUs) for these demanding computations.

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Area of Science:

  • Medical Imaging
  • Signal Processing
  • Computational Science

Background:

  • Software-based beamforming offers reduced complexity and cost for systems like ultrasound imaging.
  • High data-transfer and computation demands challenge real-time performance, particularly in transferring raw radio frequency (RF) data.
  • Current electronic technologies struggle to keep pace with the data throughput required for software beamforming.

Purpose of the Study:

  • To investigate the trade-offs between data-transfer and computation requirements for different software-based beamforming methods.
  • To compare the performance of phased array (PA) and synthetic transmit aperture (STA) beamforming techniques.
  • To evaluate the efficacy of Graphics Processing Units (GPUs) versus Central Processing Units (CPUs) for real-time beamforming.

Main Methods:

  • Implemented and compared PA and STA beamforming algorithms.
  • Utilized an NVIDIA GeForce GTX 260 GPU and an Intel Core i7 920 CPU for implementation.
  • Measured frame rates, data-transfer requirements, and computational bottlenecks for each method.

Main Results:

  • Both PA and STA beamforming achieved real-time performance (42 fps and 40 fps, respectively).
  • STA beamforming significantly reduced data-transfer requirements (8 MB/frame) compared to PA (95 MB/frame).
  • STA beamforming incurred higher memory operation demands, creating a computational bottleneck, while PA was limited by data transfer speed. GPU implementation outperformed CPU.

Conclusions:

  • Software-based beamforming is feasible in real-time, with STA offering reduced data transfer needs.
  • The choice between PA and STA involves a trade-off between data transfer and memory computation.
  • GPUs demonstrate a clear performance advantage over CPUs for computationally intensive beamforming tasks.