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 …

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 …

Phase constraint improves ultrasound image quality reconstructed using deep neural network

H Zuo, J Zhang, J Luo, B Peng - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Plane wave (PW) imaging has become a popular ultrafast ultrasound (US) imaging method
thanks to its high frame rate. However, PW imaging requires multiple steered transmissions …

[PDF][PDF] 结合贝叶斯推理和局部多项式拟合的增强区域增长算法在超声弹性成像中的应用

文烁杰, 周竞宇, 周文俊, 姜劲枫, 彭博 - 中国生物医学工程学报, 2024 - cjbme.csbme.org
超声应变弹性成像是一种非侵入性评估组织硬度的成像方式, 临床上常用于乳腺,
前列腺以及腹部器官的检查. 位移跟踪是其中的重要环节, 块匹配方法是位移跟踪的常用方法 …

Region-growing motion tracking method based on bayesian inference and polynomial fitting

B Peng, S Wen, T Yang, HE Tingting… - US Patent 11,238,599, 2022 - Google Patents
The present invention discloses a region-growing motion tracking method based on
Bayesian inference and polyno mial fitting, including: determining a target region; selecting …