Photoacoustic imaging–the combination of optics and acoustics to visualize differences in
optical absorption–has recently demonstrated strong viability as a promising method to …

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 …

Starting from key ultrasound imaging features such as spatial and temporal resolution,
contrast, penetration depth, array aperture, and field-of-view (FOV) size, the reader will be …

Most of ultrasound medical imaging systems currently on the market implement standard
Delay and Sum (DAS) beamforming to form B-mode images. However, image resolution and …

Diagnostic Ultrasound Imaging provides a unified description of the physical principles of
ultrasound imaging, signal processing, systems and measurements. This comprehensive …

We investigate the use of deep neural networks (DNNs) for suppressing off-axis scattering in
ultrasound channel data. Our implementation operates in the frequency domain via the short …

Hepatic steatosis is a common condition, the prevalence of which is increasing along with
non-alcoholic fatty liver disease (NAFLD). Currently, the most accurate noninvasive imaging …

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 …

Acoustic clutter produced by off-axis and multipath scattering is known to cause image
degradation, and in some cases these sources may be the prime determinants of in vivo …

This paper presents a novel beamforming approach based on deep learning to get closer to
the ideal Point Spread Function (PSF) in Plane-Wave Imaging (PWI). The proposed …