[HTML][HTML] Dense-PSP-UNet: A neural network for fast inference liver ultrasound segmentation
Liver Ultrasound (US) or sonography is popularly used because of its real-time output, low-
cost, ease-of-use, portability, and non-invasive nature. Segmentation of real-time liver US is …
cost, ease-of-use, portability, and non-invasive nature. Segmentation of real-time liver US is …
[HTML][HTML] Magnetomotive ultrasound imaging systems: basic principles and first applications
S Sjöstrand, M Evertsson, T Jansson - Ultrasound in Medicine & Biology, 2020 - Elsevier
This review discusses magnetomotive ultrasound, which is an emerging technique that uses
superparamagnetic iron oxide nanoparticles as a contrast agent. The key advantage of …
superparamagnetic iron oxide nanoparticles as a contrast agent. The key advantage of …
Real-time quasi-static ultrasound elastography
Ultrasound elastography is a technique used for clinical imaging of tissue stiffness with a
conventional ultrasound machine. It was first proposed two decades ago, but active research …
conventional ultrasound machine. It was first proposed two decades ago, but active research …
Learning the implicit strain reconstruction in ultrasound elastography using privileged information
Quasi-static ultrasound elastography is an importance imaging technology to assess the
conditions of various diseases through reconstructing the tissue strain from radio frequency …
conditions of various diseases through reconstructing the tissue strain from radio frequency …
Global time-delay estimation in ultrasound elastography
HS Hashemi, H Rivaz - IEEE transactions on ultrasonics …, 2017 - ieeexplore.ieee.org
A critical step in quasi-static ultrasound elastography is the estimation of time delay between
two frames of radio-frequency (RF) data that are obtained while the tissue is undergoing …
two frames of radio-frequency (RF) data that are obtained while the tissue is undergoing …
Ultrasound RF time series for classification of breast lesions
N Uniyal, H Eskandari, P Abolmaesumi… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This work reports the use of ultrasound radio frequency (RF) time series analysis as a
method for ultrasound-based classification of malignant breast lesions. The RF time series …
method for ultrasound-based classification of malignant breast lesions. The RF time series …
Unsupervised convolutional neural network for motion estimation in ultrasound elastography
X Wei, Y Wang, L Ge, B Peng, Q He… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
High-quality motion estimation is essential for ultrasound elastography (USE). Traditional
motion estimation algorithms based on speckle tracking such as normalized cross …
motion estimation algorithms based on speckle tracking such as normalized cross …
Gluenet: Ultrasound elastography using convolutional neural network
Displacement estimation is a critical step in ultrasound elastography and failing to estimate
displacement correctly can result in large errors in strain images. As conventional ultrasound …
displacement correctly can result in large errors in strain images. As conventional ultrasound …
Combining total variation regularization with window-based time delay estimation in ultrasound elastography
A major challenge of free-hand palpation ultrasound elastography (USE) is estimating the
displacement of RF samples between pre-and post-compressed RF data. The problem of …
displacement of RF samples between pre-and post-compressed RF data. The problem of …
Three-Dimensional Multi-Frequency Shear Wave Absolute Vibro-Elastography (3D S-WAVE) With a Matrix Array Transducer: Implementation and Preliminary In Vivo …
Magnetic resonance elastography (MRE) is commonly regarded as the imaging-based gold-
standard for liver fibrosis staging, comparable to biopsy. While ultrasound-based …
standard for liver fibrosis staging, comparable to biopsy. While ultrasound-based …