Elasticity imaging is a technique that discovers the spatial distribution of mechanical
properties of tissue using deformation and force measurements under various loading …

In this article, two novel deep learning methods are proposed for displacement estimation in
ultrasound elastography (USE). Although convolutional neural networks (CNNs) have been …

Quasi-static ultrasound elastography is an importance imaging technology to assess the
conditions of various diseases through reconstructing the tissue strain from radio frequency …

Convolutional Neural Networks (CNN) have shown promising results for displacement
estimation in UltraSound Elastography (USE). Many modifications have been proposed to …

Advanced optical fiber reflectometry techniques enable spatially distributed measurements
of true relative deformations over the length of a conventional optical fiber cable. This …

A barrier function-based adaptive sliding mode control (SMC) strategy is proposed for the
vehicle active suspension system in this article. The barrier function-based adaptive law is …

High-quality motion estimation is essential for ultrasound elastography (USE). Traditional
motion estimation algorithms based on speckle tracking such as normalized cross …

Accurate tracking of tissue motion is critically important for several ultrasound elastography
methods. In this study, we investigate the feasibility of using three published convolution …

Displacement estimation is a critical step in ultrasound elastography and failing to estimate
displacement correctly can result in large errors in strain images. As conventional ultrasound …

Tracking the displacement between the pre-and post-deformed radio-frequency (RF) frames
is a pivotal step of ultrasound elastography, which depicts tissue mechanical properties to …