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 …

Accurate tracking of tissue motion is critically important for several ultrasound elastography
methods including strain elastography and shear wave elastography. In this study, we …

Accurate and computationally efficient motion estimation is a critical component of real-time
ultrasound strain elastography (USE). With the advent of deep-learning neural network …

Purpose Most cancers are associated with biological and structural changes that lead to
tissue stiffening. Therefore, imaging tissue stiffness using quasi‐static ultrasound …

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

Obtaining accurate ultrasonically estimated displacements along both axial (parallel to the
acoustic beam) and lateral (perpendicular to the beam) directions is an important task for …

Our primary objective of this paper was to extend a previously published 2-D coupled
subsample tracking algorithm for 3-D speckle tracking in the framework of ultrasound breast …

Ultrasound elasticity imaging has demonstrated utility in breast imaging, but it is typically
performed with handheld transducers and two-dimensional imaging. Two-dimensional (2D) …

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

A prototype freehand elastographic imaging system has been developed for clinical breast
imaging. The system consists of a fast data acquisition system, which is able to capture …