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Synthetic Aperture Ultrasound Imaging through Adaptive Integrated Transmitting-Receiving Beamformer
Hasti Rostamikhanghahi1, Sayed Mahmoud Sakhaei1
1Department of electrical and computer engineering, Babol Noshirvani University of Technology, Babol, Mazandaran, Iran.
Ultrasonic Imaging
|April 3, 2023
Summary
This study introduces a new virtual array method for synthetic aperture (SA) ultrafast ultrasound imaging. This approach enhances image resolution and contrast while reducing computational load.
Area of Science:
- Ultrasound Imaging
- Medical Imaging
- Signal Processing
Background:
- Synthetic aperture (SA) imaging offers advantages for ultrafast ultrasound, enabling full medium insonification and dynamic focusing.
- SA techniques allow for adaptive beamforming in transmission and reception, improving image quality.
Purpose of the Study:
- To reformulate SA beamformer design as a one-way beamformer problem on a virtual array.
- To enhance resolution and contrast in ultrafast ultrasound imaging using adaptive minimum variance (MV) beamforming.
Main Methods:
- Formulation of SA transmit and receive beamformer design as a one-way beamformer on a virtual array.
- Utilizing an enlarged virtual aperture for improved resolution.
- Applying adaptive minimum variance (MV) beamforming with enhanced covariance matrix estimation.
Main Results:
- The new method achieves a virtual aperture length equal to the sum of transmit and receive apertures, enhancing resolution.
- Improved covariance matrix estimation enables superior adaptive MV beamforming.
- Validation through simulations and experimental data shows higher generalized contrast to noise ratio (GCNR) and maintained or decreased full width at half maximum (FWHM).
Conclusions:
- The proposed virtual array method significantly enhances image resolution and contrast in ultrafast SA ultrasound imaging.
- This approach offers a reduced computational burden compared to existing MV-based methods.
- The findings demonstrate a practical advancement for high-performance ultrasound imaging systems.

