A stochastic approach to delays optimization for narrowband transmit beam pattern in medical ultrasound
Chiara Razzetta, Valentina Candiani, Marco Crocco, Federico, Benvenuto

TL;DR
This paper introduces a stochastic optimization method for narrowband transmit beam pattern design in medical ultrasound, improving beam uniformity and energy concentration for enhanced imaging quality.
Contribution
It presents a novel non-linear least squares approach focusing on transmit delays as free variables, tailored for ARFI elastography, addressing limitations of traditional TBP optimization.
Findings
Main lobe width is more uniform over depth
Side lobe levels are reduced
Energy concentration along the desired axis is improved
Abstract
Ultrasound imaging is extensively employed in clinical settings due to its non-ionizing nature and real-time capabilities. The beamformer represents a crucial component of an ultrasound machine, playing a significant role in shaping the ultimate quality of the reconstructed image. Therefore, Transmit Beam Pattern (TBP) optimization is an important task in medical ultrasound, but state-of-the-art TBP optimization has well-known drawbacks like non-uniform beam width over depth, presence of significant side lobes, and quick energy drop out after the focal depth. To overcome these limitations, we developed a novel optimization approach for TBP by focusing the analysis on its narrowband approximation, particularly suited for Acoustic Radiation Force Impulse (ARFI) elastography, and considering transmit delays as free variables instead of linked to a specific focal depth. We formulate the…
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Taxonomy
TopicsUltrasound Imaging and Elastography · Ultrasound and Hyperthermia Applications · Photoacoustic and Ultrasonic Imaging
