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 …

Alternating direction method of multipliers for displacement estimation in ultrasound strain elastography

M Ashikuzzaman, B Peng, J Jiang, H Rivaz - Medical physics, 2024 - Wiley Online Library
Background Ultrasound strain imaging, which delineates mechanical properties to detect
tissue abnormalities, involves estimating the time delay between two radio‐frequency (RF) …

MixTURE: L1-Norm-Based Mixed Second-Order Continuity in Strain Tensor Ultrasound Elastography

M Ashikuzzaman, A Sharma… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Energy-based displacement tracking of ultrasound images can be implemented by
optimizing a cost function consisting of a data term, a mechanical congruency term, and first …

Dual-TranSpeckle: Dual-pathway transformer based encoder-decoder network for medical ultrasound image despeckling

Y Chen, Z Guo, J Yuan, X Li, H Yu - Computers in Biology and Medicine, 2024 - Elsevier
The majority of existing deep learning-based image denoising algorithms mainly focus on
processing the overall image features, ignoring the fine differences between the semantic …

[PDF][PDF] Deep Learning-Based Displacement Tracking for Post-Stroke Myofascial Shear Strain Quantification

M Ashikuzzaman, J Huang, S Bonwit… - IEEE International …, 2024 - pulselab.jhu.edu
Shear strain measurements derived from ultrasound imaging of tissue displacements have
the potential to be a useful biomarker of muscle health, myofascial stiffness, and associated …

Two-dimensional displacement estimation using mixed second-order regularization in total variation-based ultrasound elastography

M Ashikuzzaman, H Rivaz… - Medical Imaging 2024 …, 2024 - spiedigitallibrary.org
A recent technique named Mechanically-inspired L1-norm-based Second-Order Ultrasound
eLastography (L1-MechSOUL) has provided a promising solution to the well-known issue of …

[HTML][HTML] Deep learning-based super-resolution acoustic holography for phased transducer array

Q Lu, C Zhong, Q Liu, H Su, S Liu - Journal of Applied Physics, 2024 - pubs.aip.org
Acoustic holography (AH) is a technique with significant potential in realms, such as
biomedicine, industry, and augmented reality. The implementation of acoustic holograms …

[HTML][HTML] 基于半监督神经网络的弹性模量分布重建

潇张, 博彭, 锐王, 星月魏, 建文罗 - … Wu Yi Xue Gong Cheng Xue …, 2024 - ncbi.nlm.nih.gov
在超声弹性成像中, 准确重建组织弹性模量分布是一项重要挑战。 现有的基于深度学习的全
监督重建方法在训练中只使用了添加噪声的计算机仿真位移数据, 不能完全模拟在体超声数据 …

Synthesis of pseudo‐PET/CT fusion images in radiotherapy based on a new transformer model

H Sun, L Chen, J Li, Z Yang, J Zhu, Z Wang, G Ren… - Medical … - Wiley Online Library
Background PET/CT and planning CT are commonly used medical images in radiotherapy
for esophageal and nasopharyngeal cancer. However, repeated scans will expose patients …

Reconstruction of elasticity modulus distribution base on semi-supervised neural network

X Zhang, B Peng, R Wang, X Wei… - … wu yi xue Gong Cheng xue …, 2024 - europepmc.org
在超声弹性成像中, 准确重建组织弹性模量分布是一项重要挑战. 现有的基于深度学习的全监督
重建方法在训练中只使用了添加噪声的计算机仿真位移数据, 不能完全模拟在体超声数据的复杂 …