Convolutional Neural Networks (CNN) have been extensively used for many computer
vision applications including optical flow estimation. Although CNNs have been very …

Three-dimensional (3-D) ultrasound elastography can provide 3-D tissue stiffness
information that may be used during clinical diagnoses. In the framework of strain …

Ultrasound elastography (USE) is an emerging noninvasive imaging technique in which
pathological alterations can be visualized by revealing the mechanical properties of the …

In elastography, the tissue under investigation is compressed and the resulting strain is
estimated from the gradient of the displacement (time-delay) estimates. The displacements …

Objective: Ultrasound elastography is gaining traction as an accessible and useful
diagnostic tool for things such as, cancer detection and differentiation and thyroid disease …

Quasi-static elastography is an ultrasound method which is widely used to assess
displacements and strain in tissue by correlating ultrasound data at different levels of …

In this work, we introduced an elastographic simulation framework, which estimates upper
bounds on elastographic image quality by accounting for three-dimensional (3D) tissue …

Shear-wave elastography (SWE) permits local estimation of tissue elasticity, an important
imaging marker in biomedicine. This recently developed, advanced technique assesses the …

Axial displacement estimation is fundamental to many freehand quasistatic ultrasonic strain
imaging systems. In this paper, we present a novel estimation method that combines the …

Ultrasound elastography involves measuring the mechanical properties of tissue, and has
many applications in diagnostics and intervention. A common step in different elastography …