Fast strain estimation and frame selection in ultrasound elastography using machine learning
Ultrasound elastography aims to determine the mechanical properties of the tissue by
monitoring tissue deformation due to internal or external forces. Tissue deformations are …
monitoring tissue deformation due to internal or external forces. Tissue deformations are …
An unsupervised approach to ultrasound elastography with end-to-end strain regularisation
Quasi-static ultrasound elastography (USE) is an imaging modality that consists of
determining a measure of deformation (ie strain) of soft tissue in response to an applied …
determining a measure of deformation (ie strain) of soft tissue in response to an applied …
Exploiting mechanics-based priors for lateral displacement estimation in ultrasound elastography
M Ashikuzzaman, AKZ Tehrani… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …
is a pivotal step of ultrasound elastography, which depicts tissue mechanical properties to …
A novel stretching factor estimator based on an adaptive bisection method for ultrasound strain imaging
Z Hosseini, A Khadem, MH Bibalan - Biomedical Signal Processing and …, 2024 - Elsevier
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 …
challenging step in ultrasound elastography. The main issue of existing TDE techniques is …
Displacement estimation in ultrasound elastography using pyramidal convolutional neural network
AKZ Tehrani, H Rivaz - IEEE transactions on ultrasonics …, 2020 - ieeexplore.ieee.org
In this article, two novel deep learning methods are proposed for displacement estimation in
ultrasound elastography (USE). Although convolutional neural networks (CNNs) have been …
ultrasound elastography (USE). Although convolutional neural networks (CNNs) have been …
3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography
This paper introduces a novel technique to estimate tissue displacement in quasi-static
elastography. A major challenge in elastography is estimation of displacement (also referred …
elastography. A major challenge in elastography is estimation of displacement (also referred …
Analytical minimization-based regularized subpixel shear-wave tracking for ultrasound elastography
Ultrasound elastography is a convenient and affordable method for imaging mechanical
properties of tissue, which are often correlated with pathologies. An emerging novel …
properties of tissue, which are often correlated with pathologies. An emerging novel …
Displacement Tracking Techniques in Ultrasound Elastography: From Cross-Correlation to Deep Learning
Ultrasound elastography is a non-invasive medical imaging technique that maps
viscoelastic properties to characterize tissues and diseases. Elastography can be divided …
viscoelastic properties to characterize tissues and diseases. Elastography can be divided …
A class of kernel based real-time elastography algorithms
In this paper, a novel real-time kernel-based and gradient-based Phase Root Seeking (PRS)
algorithm for ultrasound elastography is proposed. The signal-to-noise ratio of the strain …
algorithm for ultrasound elastography is proposed. The signal-to-noise ratio of the strain …
Direct mean strain estimation for elastography using nearest-neighbor weighted least-squares approach in the frequency domain
Ultrasound elastography is emerging with enormous potential as a medical imaging
modality for effective discrimination of pathological changes in soft tissue. It maps the tissue …
modality for effective discrimination of pathological changes in soft tissue. It maps the tissue …