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 …

A wavelet neural operator based elastography for localization and quantification of tumors

T Tripura, A Awasthi, S Roy, S Chakraborty - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objectives The application of intelligent imaging techniques and
deep learning in the field of computer-aided diagnosis and medical imaging have improved …

Convolutional neural network-based speckle tracking for ultrasound strain elastography: an unsupervised learning approach

S Wen, B Peng, X Wei, J Luo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

RAFT-USENet: A Unified Network for Accurate Axial and Lateral Motion Estimation in Ultrasound Elastography Imaging

S Majumder, MT Islam, R Righetti - IEEE Journal of Biomedical …, 2025 - ieeexplore.ieee.org
High-quality motion estimation is essential in ultrasound elastography (USE) for evaluating
tissue mechanical properties and detecting abnormalities. Traditional methods, such as …

Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography

A KZ Tehrani, H Rivaz - … Conference on Medical Image Computing and …, 2023 - Springer
The displacement estimation step of Ultrasound Elastography (USE) can be done by optical
flow Convolutional Neural Networks (CNN). Even though displacement estimation in USE …

[PDF][PDF] Deep Learning Methods for Estimation of Elasticity and Backscatter Quantitative Ultrasound

A Kafaei Zad Tehrani - 2023 - spectrum.library.concordia.ca
Ultrasound (US) imaging is increasingly attracting the attention of both academic and
industrial researchers due to being a real-time and nonionizing imaging modality. It is also …