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Expanded beamforming models for high dynamic range scenarios

Delay-and-sum (DAS) and many other beamformers struggle with accurately sizing targets in an ultrasound image. We previously showed that aperture domain model image reconstruction (ADMIRE) and its iterative variant (iADMIRE) can improve image quality by reducing reverberation and off-axis clutter, but they do not substantially improve upon resolution compared to DAS. Therefore, we introduce an expanded model design for the ADMIRE framework that allows for improved resolution by reducing sidelobes and show that this improved model allows iADMIRE to reach similar or better performance in terms of lateral resolution compared to minimum variance (MV). We show that this improved sidelobe performance results in improved sizing accuracy of simulated cysts compared to DAS and normal ADMIRE and iADMIRE.