Neural-network-based motion tracking for breast ultrasound strain elastography: An initial assessment of performance and feasibility
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 …
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
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 …
A hybrid knee exoskeleton using real-time ultrasound-based muscle fatigue assessment
Ultrasound-based state assessment of the human muscle during rehabilitation and its
integration into a hybrid exoskeleton comprising an functional electrical stimulation (FES) …
integration into a hybrid exoskeleton comprising an functional electrical stimulation (FES) …
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 …
GPU accelerated multilevel Lagrangian carotid strain imaging
NH Meshram, T Varghese - IEEE transactions on ultrasonics …, 2018 - ieeexplore.ieee.org
A multilevel Lagrangian carotid strain imaging algorithm is analyzed to identify
computational bottlenecks for implementation on a graphics processing unit (GPU) …
computational bottlenecks for implementation on a graphics processing unit (GPU) …
Hadamard-encoded synthetic transmit aperture imaging for improved lateral motion estimation in ultrasound elastography
Y Wang, X Xie, 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 …
A convolution neural network-based speckle tracking method for ultrasound elastography
Accurate tracking of tissue motion is critically important for several ultrasound elastography
methods including strain elastography and shear wave elastography. In this study, we …
methods including strain elastography and shear wave elastography. In this study, we …
A comparison of hyperelastic constitutive models applicable to shear wave elastography (SWE) data in tissue-mimicking materials
DP Rosen, J Jiang - Physics in Medicine & Biology, 2019 - iopscience.iop.org
Shear wave elastography (SWE) techniques have received substantial attention in recent
years. Strong experimental data in SWE suggest that shear wave speed changes …
years. Strong experimental data in SWE suggest that shear wave speed changes …
A 3-D region-growing motion-tracking method for ultrasound elasticity imaging
A 3-D region-growing motion-tracking (RGMT) method for ultrasound elasticity imaging is
described. This 3-D RGMT method first estimates the displacements at a sparse subset of …
described. This 3-D RGMT method first estimates the displacements at a sparse subset of …
An application of super-resolution generative adversary networks for quasi-static ultrasound strain elastography: A feasibility study
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 …
was used to interpolate (up-sample) ultrasound radio-frequency (RF) echo data along the …