Wavenumber Beamforming With Sub-Nyquist Sampling for Focus-Beam Ultrasound Imaging.

Area of Science:

• Medical Imaging
• Ultrasound Technology
• Signal Processing

Background:

• Conventional medical ultrasound systems generate large data volumes due to multichannel echo acquisition at high frequencies (tens of MHz).
• Integrating advanced beamformers with transmission compounding increases computational complexity in digital beamforming.
• Existing methods for accelerating ultrasound data processing, like wavenumber beamforming, have not been effectively applied to synthetic focus-beam transmission imaging.

Purpose of the Study:

• To propose a novel wavenumber beamforming algorithm for efficient reduction of computational complexity in focus-beam ultrasound imaging.
• To integrate the proposed wavenumber beamformer with a sub-Nyquist sampling framework to reduce echo acquisition rates.
• To evaluate the performance of the novel beamformer in terms of image quality, sampling rate, and processing runtime.

Main Methods:

• Development of a novel wavenumber beamforming algorithm tailored for synthetic focus-beam transmission imaging.
• Integration of the wavenumber beamformer with a sub-Nyquist sampling strategy to acquire ultrasonic echoes at reduced rates.
• Validation through simulations and experimental data acquisition to assess image quality and computational efficiency.

Main Results:

• The proposed wavenumber beamformer achieves image quality comparable to state-of-the-art spatiotemporal beamformers.
• The integration with sub-Nyquist sampling reduced the sampling rate by approximately ninefold.
• The overall runtime for data processing was reduced by approximately fourfold compared to conventional methods.

Conclusions:

• The novel wavenumber beamforming algorithm significantly reduces computational complexity in focus-beam ultrasound imaging.
• The approach enables substantial reductions in sampling rate and processing time without compromising image quality.
• This method holds potential for developing low-power consumption and portable medical ultrasound systems.