In this article, we consider deep learning strategies in ultrasound systems, from the front end
to advanced applications. Our goal is to provide the reader with a broad understanding of …

Super-resolution ultrasound microvessel imaging with contrast microbubbles has recently
been proposed by multiple studies, demonstrating outstanding resolution with high potential …

Contrast enhanced ultrasound is a radiation-free imaging modality which uses encapsulated
gas microbubbles for improved visualization of the vascular bed deep within the tissue. It …

Super-resolution ultrasound localization microscopy (ULM), based on localization and
tracking of individual microbubbles (MBs), offers unprecedented microvascular imaging …

Aging-related cognitive decline is an emerging health crisis; however, no established
unifying mechanism has been identified for the cognitive impairments seen in an aging …

Blind source separation (BSS) refers to a number of signal processing techniques that
decompose a signal into several “source” signals. In recent years, BSS is increasingly …

Non-invasive detection of microvascular alterations in deep tissues in vivo provides critical
information for clinical diagnosis and evaluation of a broad-spectrum of pathologies …

Image reconstruction from radio-frequency (RF) data is crucial for ultrafast plane wave
ultrasound (PWUS) imaging. Compared with the traditional delay-and-sum (DAS) method …

Ultrasound imaging is one of the most widely used modalities in clinical practice, revealing
not only human prenatal development but also arterial function in the adult brain. Ultrasound …

A new approach for vascular super-resolution (SR) imaging using the erythrocytes as targets
(SUper-Resolution ultrasound imaging of Erythrocytes (SURE) imaging) is described and …