Ultrasound (US) is a flexible imaging modality used globally as a first-line medical exam
procedure in many different clinical cases. It benefits from the continued evolution of …

Abstract Purpose of Review Rather than broadly investigating the beamforming field, the
present work has the distinctive feature of analyzing the most common algorithms through …

Abstract Delay-and-sum (DAS) is the most widespread digital beamformer in high-frame-rate
ultrasound imaging. Its implementation is simple and compatible with real-time applications …

In the last 30 years, the contrast-to-noise ratio (CNR) has been used to estimate the contrast
and lesion detectability in ultrasound images. Recent studies have shown that the CNR …

Deep learning for ultrasound image formation is rapidly garnering research support and
attention, quickly rising as the latest frontier in ultrasound image formation, with much …

Photoacoustic imaging (PAI) is an emerging functional and molecular imaging technology
that has attracted much attention in the past decade. Recently, many researchers have used …

The generalized contrast-to-noise ratio (gCNR) is a relatively new image quality metric
designed to assess the probability of lesion detectability in ultrasound images. Although …

The widespread development of new ultrasound image formation techniques has created a
need for a standardized methodology for comparing the resulting images. Traditional …

Ultrafast ultrasound (US) revolutionized biomedical imaging with its capability of acquiring
full-view frames at over 1 kHz, unlocking breakthrough modalities such as shear-wave …

Objective: Super-resolution ultrasound (SRUS) imaging through localising and tracking
sparse microbubbles has been shown to reveal microvascular structure and flow beyond the …