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Found 7 papers, 0 papers with code
Exploiting Mechanics-Based Priors for Lateral Displacement Estimation in Ultrasound Elastography
This paper proposes exploiting the effective Poisson's ratio (EPR)-based mechanical correspondence between the axial and lateral strains along with the RF data fidelity and displacement continuity to improve the lateral displacement and strain estimation accuracies.
Lateral Strain Imaging using Self-supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography
Many modifications have been proposed to improve the displacement estimation of CNNs for USE in the axial direction.
Analytic Optimization-Based Microbubble Tracking in Ultrasound Super-Resolution Microscopy
Ultrasound localization microscopy (ULM) refers to a promising medical imaging modality that systematically leverages the advantages of contrast-enhanced ultrasound (CEUS) to surpass the diffraction barrier and delineate the microvascular map.
Incorporating Gradient Similarity for Robust Time Delay Estimation in Ultrasound Elastography
The data term associated with the existing techniques takes only the amplitude similarity into account and hence is not sufficiently robust to the outlier samples present in the RF frames under consideration.
Ultrasound Strain Imaging using ADMM
ADMM empowers the proposed algorithm to use different techniques for optimizing different parts of the cost function and obtain high-contrast strain images with smooth background and sharp boundaries.
Second-Order Ultrasound Elastography with L1-norm Spatial Regularization
To resolve these issues, herein, we propose a novel TDE algorithm where instead of L2-, L1-norms of both first- and second-order displacement derivatives are taken into account to devise the continuity functional.
Fast and Robust Localization of Surgical Array using Kalman Filter
This paper introduces a fast and computationally efficient implementation of linear KF to improve the measurement accuracy of an optical tracking system with high temporal resolution.
Robotics
