Lateral strain imaging using self-supervised and physically inspired constraints in unsupervised regularized elastography
Convolutional Neural Networks (CNN) have shown promising results for displacement
estimation in UltraSound Elastography (USE). Many modifications have been proposed to …
estimation in UltraSound Elastography (USE). Many modifications have been proposed to …
Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks
M Byra, P Jarosik, K Dobruch-Sobczak, Z Klimonda… - Ultrasonics, 2022 - Elsevier
In this paper, we propose a novel deep learning method for joint classification and
segmentation of breast masses based on radio-frequency (RF) ultrasound (US) data. In …
segmentation of breast masses based on radio-frequency (RF) ultrasound (US) data. In …
Bi-directional semi-supervised training of convolutional neural networks for ultrasound elastography displacement estimation
The performance of ultrasound elastography (USE) heavily depends on the accuracy of
displacement estimation. Recently, convolutional neural networks (CNNs) have shown …
displacement estimation. Recently, convolutional neural networks (CNNs) have shown …
Combining first-and second-order continuity constraints in ultrasound elastography
Ultrasound elastography is a prominent noninvasive medical imaging technique that
estimates tissue elastic properties to detect abnormalities in an organ. A common …
estimates tissue elastic properties to detect abnormalities in an organ. A common …
MPWC-Net++: evolution of optical flow pyramidal convolutional neural network for ultrasound elastography
Recently, Convolutional Neural Networks (CNNs) have been very successful in optical flow
estimation in computer vision. UltraSound Elastography (USE) displacement estimation step …
estimation in computer vision. UltraSound Elastography (USE) displacement estimation step …
Ultrasound viscoelastography by acoustic radiation force: A state-of-the-art review
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 …
diseases result in alterations of tissue structure and composition, which manifest as changes …
Hadamard-encoded synthetic transmit aperture imaging for improved lateral motion estimation in ultrasound elastography
Y Wang, X **e, Q He, H Liao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Lateral motion estimation has been a challenge in ultrasound elastography mainly due to
the low resolution, low sampling frequency, and lack of phase information in the lateral …
the low resolution, low sampling frequency, and lack of phase information in the lateral …
[HTML][HTML] Shear-wave particle-velocity estimation and enhancement using a multi-resolution convolutional neural network
Objective: Tissue mechanical properties are valuable markers for tissue characterization,
aiding in the detection and staging of pathologies. Shear wave elastography (SWE) offers a …
aiding in the detection and staging of pathologies. Shear wave elastography (SWE) offers a …
RAFT-USENet: A Unified Network for Accurate Axial and Lateral Motion Estimation in Ultrasound Elastography Imaging
High-quality motion estimation is essential in ultrasound elastography (USE) for evaluating
tissue mechanical properties and detecting abnormalities. Traditional methods, such as …
tissue mechanical properties and detecting abnormalities. Traditional methods, such as …
Comparative Study of Ultrasound Tissue Motion Tracking Techniques for Effective Breast Ultrasound Elastography
M Caius, A Samani - Applied Sciences, 2023 - mdpi.com
Breast cancer is the most common and deadly cancer in women, where early detection is of
the utmost importance as survival rates decrease with the advancement of the disease. Most …
the utmost importance as survival rates decrease with the advancement of the disease. Most …