Lateral strain imaging using self-supervised and physically inspired constraints in unsupervised regularized elastography
AKZ Tehrani, M Ashikuzzaman… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …
Surgical-DINO: adapter learning of foundation models for depth estimation in endoscopic surgery
Purpose Depth estimation in robotic surgery is vital in 3D reconstruction, surgical navigation
and augmented reality visualization. Although the foundation model exhibits outstanding …
and augmented reality visualization. Although the foundation model exhibits outstanding …
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 …
Convolutional neural network-based speckle tracking for ultrasound strain elastography: an unsupervised learning approach
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 strain elastography (USE). With the advent of deep-learning neural network …
Knowledge fused latent representation from lung ultrasound examination for COVID-19 pneumonia severity assessment
COVID-19 pneumonia severity assessment is of great clinical importance, and lung
ultrasound (LUS) plays a crucial role in aiding the severity assessment of COVID-19 …
ultrasound (LUS) plays a crucial role in aiding the severity assessment of COVID-19 …
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 …
Alternating direction method of multipliers for displacement estimation in ultrasound strain elastography
Background Ultrasound strain imaging, which delineates mechanical properties to detect
tissue abnormalities, involves estimating the time delay between two radio‐frequency (RF) …
tissue abnormalities, involves estimating the time delay between two radio‐frequency (RF) …
Ultrafast cardiac imaging using deep learning for speckle-tracking echocardiography
High-quality ultrafast ultrasound imaging is based on coherent compounding from multiple
transmissions of plane waves (PW) or diverging waves (DW). However, compounding …
transmissions of plane waves (PW) or diverging waves (DW). However, compounding …
Teacher-student guided knowledge distillation for unsupervised convolutional neural network-based speckle tracking in ultrasound strain elastography
T Xiang, Y Li, H Deng, C Tian, B Peng… - Medical & Biological …, 2024 - Springer
Accurate and efficient motion estimation is a crucial component of real-time ultrasound
elastography (USE). However, obtaining radiofrequency ultrasound (RF) data in clinical …
elastography (USE). However, obtaining radiofrequency ultrasound (RF) data in clinical …
A data-efficient deep learning strategy for tissue characterization via quantitative ultrasound: Zone training
Deep learning (DL) powered biomedical ultrasound imaging is an emerging research field
where researchers adapt the image analysis capabilities of DL algorithms to biomedical …
where researchers adapt the image analysis capabilities of DL algorithms to biomedical …