The recovery of morphologically accurate anatomical images from deformed ones is
challenging in ultrasound (US) image acquisition, but crucial to accurate and consistent …

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 …

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 …

Ultrasound elastography is a non-invasive medical imaging technique that maps
viscoelastic properties to characterize tissues and diseases. Elastography can be divided …

Ultrasound elastography (USE) is a promising tool for tissue characterization as several
diseases result in alterations of tissue structure and composition, which manifest as changes …

The detection of microelastomers in deep tissue has significant biomedical value. However,
elastography of microelastomers is still limited to superficial tissues. Here, we propose …

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

High-quality ultrafast ultrasound imaging is based on coherent compounding from multiple
transmissions of plane waves (PW) or diverging waves (DW). However, compounding …

Deep learning (DL) powered biomedical ultrasound imaging is an emerging research field
where researchers adapt the image analysis capabilities of DL algorithms to biomedical …

Objective: Displacement estimation (also known as time-delay estimation (TDE)) is a
challenging step in ultrasound elastography. The main issue of existing TDE techniques is …