An upgraded siamese neural network for motion tracking in ultrasound image sequences

S Bharadwaj, S Prasad… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Deep learning is heavily being borrowed to solve problems in medical imaging applications,
and Siamese neural networks are the front runners of motion tracking. In this article, we …

Measuring tissue elastic properties using physics based neural networks

A Mallampati, M Almekkawy - 2021 IEEE UFFC Latin America …, 2021 - ieeexplore.ieee.org
Ultrasound elastography is a non-invasive and low-cost imaging technique that is used to
detect abnormalities in soft tissues. Elastography detects solid tumors from healthy tissues …

Motion tracking of carotid artery in ultrasound images using Lucas Kanade method with advanced Siamese Neural Networks

M Wasih, M Almekkawy - 2021 IEEE International Ultrasonics …, 2021 - ieeexplore.ieee.org
Siamese neural networks have been used previously for speckle tracking in ultrasound
images. Apart from the lack of adaptivity to the specific video sequence, the main problem …

Imposing Object's Trajectory and Dynamic Template Updates to Track ROIs in Ultrasound Image Sequences

MS Alshahrani, M Wasih… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper improves an existing object-tracking algorithm to track Regions of Interest (ROIs)
in human liver ultrasound imaging sequences using a correlation filter-based Siamese …

A novel deep learning approach for tracking regions of interest in ultrasound images

M Wasih, M Almekkawy - … of the IEEE Engineering in Medicine …, 2021 - ieeexplore.ieee.org
Due to their great success in learning a universal object similarity metric, Siamese Trackers
have been adopted for motion tracking a Region of Interest (ROI) in Ultrasound (US) image …

Advanced deep learning network with harris corner based background motion modeling for motion tracking of targets in ultrasound images

M Wasih, M Almekkawy - 2021 IEEE International Ultrasonics …, 2021 - ieeexplore.ieee.org
We have proposed a novel background motion estimation method to improve the tracking of
targets in advanced Siamese networks. One issue with ST is that it does not adapt to video …

Arterial Wall Motion Estimation in Carotid Artery Using Deep Learning with Extended Kalman Filter

S Bharawdaj, M Almekkawy - 2021 IEEE Signal Processing in …, 2021 - ieeexplore.ieee.org
Arterial wall motion estimation of the carotid artery is known to be extremely useful in the
diagnosis of atherosclerotic diseases. While several approaches have been developed for …

Motion Vector Estimation Method of Dynamic Image Sequence Using Neural Network in the Context of Internet of Things

B Wang, L Gu, Z Wang - Journal of Testing …, 2024 - asmedigitalcollection.asme.org
To improve the low resolution of dynamic images caused by motion vector, a neural network-
based motion vector estimation method for dynamic image sequences is proposed in this …

deep learning approaches for object tracking and motion estimation of ultrasound imaging sequences

M Alshahrani - 2023 - etda.libraries.psu.edu
This research focuses on object tracking in the human liver using the CFNet network. Three
versions of the CFNet network were implemented and tested on ultrasound imaging …

Motion Estimation in Ultrasound Image Sequences: A Deep Learning Approach

S Bharadwaj - 2021 - etda.libraries.psu.edu
Motion estimation in ultrasound images using speckle tracking has been known to be very
beneficial for image-guided radiation therapy. However, the conventional exhaustive search …