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Converting reflected sonic signals to an ultrasound image, beaforming, has been traditionally formulated mathematically via the simple process of delay and sum (DAS). Recent research has aimed to improve ultrasound beamforming via advanced mathematical models for increased contrast, resolution and speckle filtering. These formulations, such as minimum variance, add minor improvement over the current real-time, state-of-the-art DAS, while requiring drastically increased computational time and therefore excluding them from wide-spread adoption.

Abstract: Beamforming Sub-Sampled Raw Ultrasound Data with DeepFormer