In elastography, several methods for 2-D strain imaging have been introduced, based on
both raw frequency (RF) data and speckle-tracking. Although the precision and lesion …

Ultrasound elasticity imaging in soft tissue with acoustic radiation force requires the
estimation of displacements, typically on the order of several microns, from serially acquired …

Obtaining accurate displacement estimates along both axial (parallel to the acoustic beam)
and lateral (perpendicular to the beam) directions is an important task for several clinical …

Ultrasound elastography aims to determine the mechanical properties of the tissue by
monitoring tissue deformation due to internal or external forces. Tissue deformations are …

Displacement estimation is a critical step of virtually all Ultrasound Elastography (USE)
techniques. Two main features make this task unique compared to the general optical flow …

Existing physical model-based imaging methods for ultrasound elasticity reconstruction
utilize fixed variational regularizers that may not be appropriate for the application of interest …

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

Motion tracking algorithms to derive the local displacement distribution inside soft tissue
from ultrasonic radio frequency (RF) signals are critical for ultrasound-based techniques …

Ultrasound elastography is a convenient and affordable method for imaging mechanical
properties of tissue, which are often correlated with pathologies. An emerging novel …

In conventional elastography, internal tissue deformations, induced by external compression
applied to the tissue surface, are estimated by cross-correlation analysis of echo signals …