In this paper recent advances in vascular ultrasound imaging technology are discussed,
including three-dimensional ultrasound (3DUS), contrast-enhanced ultrasound (CEUS) and …

Current in vitro sonication experiments show immense variability in experimental set-ups
and methods used. As a result, there is uncertainty in the ultrasound field parameters …

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

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

The performance of ultrasound elastography (USE) heavily depends on the accuracy of
displacement estimation. Recently, convolutional neural networks (CNNs) have shown …

Ultrasound elastography is a prominent noninvasive medical imaging technique that
estimates tissue elastic properties to detect abnormalities in an organ. A common …

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

Elastography is a promising diagnostic tool that measures the hardness of tissues, and it has
been used in clinics for detecting lesion progress, such as benign and malignant tumors …

Energy-based ultrasound elastography techniques minimize a regularized cost function
consisting of data and continuity terms to obtain local displacement estimates based on the …

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