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Lateral Strain Imaging using Self-supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography
Ali K. Z. Tehrani, Md Ashikuzzaman, Hassan Rivaz
Convolutional Neural Networks (CNN) have shown promising results for displacement estimation in UltraSound Elastography (USE). Many modifications have been proposed to improve the…
Analytic Optimization-Based Microbubble Tracking in Ultrasound Super-Resolution Microscopy
Md Ashikuzzaman, Brandon Helfield, Hassan Rivaz
Ultrasound localization microscopy (ULM) refers to a promising medical imaging modality that systematically leverages the advantages of contrast-enhanced ultrasound (CEUS) to surpa…
Incorporating Gradient Similarity for Robust Time Delay Estimation in Ultrasound Elastography
Md Ashikuzzaman, Timothy J. Hall, Hassan Rivaz
Energy-based ultrasound elastography techniques minimize a regularized cost function consisting of data and continuity terms to obtain local displacement estimates based on the loc…
Second-Order Ultrasound Elastography with L1-norm Spatial Regularization
Md Ashikuzzaman, Hassan Rivaz
Time delay estimation (TDE) between two radio-frequency (RF) frames is one of the major steps of quasi-static ultrasound elastography, which detects tissue pathology by estimating…
Ultrasound Strain Imaging using ADMM
Md Ashikuzzaman, Hassan Rivaz
Ultrasound strain imaging, which delineates mechanical properties to detect tissue abnormalities, involves estimating the time-delay between two radio-frequency (RF) frames collect…