Ultrasound elastography is a noninvasive medical imaging technique that maps viscoelastic
properties to characterize tissues and diseases. Elastography can be divided into two …

The majority of existing deep learning-based image denoising algorithms mainly focus on
processing the overall image features, ignoring the fine differences between the semantic …

Background Ultrasound strain imaging, which delineates mechanical properties to detect
tissue abnormalities, involves estimating the time delay between two radio‐frequency (RF) …

Shear strain measurements derived from ultrasound imaging of tissue displacements have
the potential to be a useful biomarker of muscle health, myofascial stiffness, and associated …

Energy-based displacement tracking of ultrasound images can be implemented by
optimizing a cost function consisting of a data term, a mechanical congruency term, and first …

A recent technique named Mechanically-inspired L1-norm-based Second-Order Ultrasound
eLastography (L1-MechSOUL) has provided a promising solution to the well-known issue of …

High-quality motion estimation is essential in ultrasound elastography (USE) for evaluating
tissue mechanical properties and detecting abnormalities. Traditional methods, such as …

Acoustic holography (AH) is a technique with significant potential in realms, such as
biomedicine, industry, and augmented reality. The implementation of acoustic holograms …

Soybean is a vital crop globally and a key source of food, feed, and biofuel. With
advancements in high-throughput technologies, soybeans have become a key target for …

In ultrasound elastography, the noise present in the measured displacement fields has been
a critical factor affecting the quality of the strain or elastic distribution reconstruction. Existing …