Neural-network-based motion tracking for breast ultrasound strain elastography: An initial assessment of performance and feasibility

B Peng, Y Xian, Q Zhang, J Jiang - Ultrasonic imaging, 2020 - journals.sagepub.com
Accurate tracking of tissue motion is critically important for several ultrasound elastography
methods. In this study, we investigate the feasibility of using three published convolution …

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 …

Displacement Tracking Techniques in Ultrasound Elastography: From Cross-Correlation to Deep Learning

M Ashikuzzaman, A Héroux, A Tang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Ultrasound elastography is a non-invasive medical imaging technique that maps
viscoelastic properties to characterize tissues and diseases. Elastography can be divided …

An application of super-resolution generative adversary networks for quasi-static ultrasound strain elastography: A feasibility study

L He, B Peng, T Yang, J Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
In this work, a super-resolution approach based on generative adversary network (GAN)
was used to interpolate (up-sample) ultrasound radio-frequency (RF) echo data along the …

Augmenting 3D Ultrasound Strain Elastography by combining Bayesian inference with local Polynomial fitting in Region-growing-based Motion Tracking

S Wen, B Peng, H Jiang, J Cao… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Accurately tracking large tissue motion over a sequence of ultrasound images is critically
important to several clinical applications including, but not limited to, elastography, flow …

Augmented region-growing-based motion tracking using bayesian inference for quasi-static ultrasound elastography

B Peng, T Yang, T He, J Jiang - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Tissue motion tracking is a critically important step for many ultrasound elastography
applications. In this study, we are particularly interested in evaluating motion tracking …

A real-time ultrasound simulator using Monte-Carlo path tracing in conjunction with optix engine

Q Wang, B Peng, Z Cao, X Huang… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Monte-Carlo ray tracing, which enables realistic simulation of ultrasound-tissue interactions
such as soft shadows and fuzzy reflections, has been used to simulate ultrasound images …

Separated Respiratory Phases for In Vivo Ultrasonic Thermal Strain Imaging

C Yin, G Wang, Y Xie, J Tu, W Sun… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Thermal strain imaging (TSI) uses echo shifts in ultrasonic B-scan images to estimate
changes in temperature which is of great values for thermotherapies. However, for in vivo …

Accelerating 3-d gpu-based motion tracking for ultrasound strain elastography using sum-tables: Analysis and initial results

B Peng, S Luo, Z Xu, J Jiang - Applied Sciences, 2019 - mdpi.com
Now, with the availability of 3-D ultrasound data, a lot of research efforts are being devoted
to developing 3-D ultrasound strain elastography (USE) systems. Because 3-D motion …

Performance Assessment of Motion Tracking Methods in Ultrasound-based Shear Wave Elastography

T He, B Peng, P Chen, J Jiang - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Ultrasound elastography is a modality that is uniquely suited to augment conventional B-
mode ultrasound for various clinical applications. Motion tracking plays a critically important …