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[Multi-angle Plane-wave Beamforming Algorithm Based on CUDA].

Jibing Wu1,2, Yang Jiao1, Delong Zhang1

  • 1Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163.

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|October 26, 2018
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Summary

This study introduces a parallel processing method using CUDA to accelerate multi-angle plane-wave beamforming for ultrafast ultrasound imaging. The GPU-based approach significantly reduces computation time, enabling real-time imaging performance.

Keywords:
compute unified device architecture (CUDA)parallel computingultrasound imagingultrasound plane-wave

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Area of Science:

  • Medical Imaging
  • Computational Ultrasound
  • Parallel Computing

Background:

  • Multi-angle plane-wave beamforming enhances ultrasound imaging frame rate and resolution.
  • Current CPU-based methods are too slow for real-time ultrafast imaging due to high computational demands.

Purpose of the Study:

  • To develop a parallel processing method to accelerate multi-angle plane-wave beamforming.
  • To enable real-time ultrafast ultrasonic imaging by reducing computational time.

Main Methods:

  • Implemented a parallel processing algorithm utilizing Compute Unified Device Architecture (CUDA).
  • Conducted simulation analysis and contrast experiments comparing GPU and CPU execution times.

Main Results:

  • The GPU-based execution time was significantly lower than CPU-based execution.
  • The parallel processing method demonstrated substantial acceleration in computational speed.

Conclusions:

  • The proposed CUDA-based parallel processing method effectively accelerates multi-angle plane-wave beamforming.
  • This acceleration satisfies the computational demands for real-time ultrafast ultrasonic imaging.