3 papers
eess.SP2024
Homodyned K-Distribution Parameter Estimation in Quantitative Ultrasound: Autoencoder and Bayesian Neural Network Approaches
Ali K. Z. Tehrani, Guy Cloutier, An Tang +2
Quantitative ultrasound (QUS) analyzes the ultrasound backscattered data to find the properties of scatterers that correlate with the tissue microstructure. Statistics of the envel…
eess.IV2023
Exploiting Mechanics-Based Priors for Lateral Displacement Estimation in Ultrasound Elastography
Md Ashikuzzaman, Ali K. Z. Tehrani, Hassan Rivaz
Tracking the displacement between the pre- and post-deformed radio-frequency (RF) frames is a pivotal step of ultrasound elastography, which depicts tissue mechanical properties to…
eess.SP2023
A deep learning approach for patchless estimation of ultrasound quantitative parametric image with uncertainty measurement
Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hayley Whitson +1
Quantitative ultrasound (QUS) aims to find properties of scatterers which are related to the tissue microstructure. Among different QUS parameters, scatterer number density has bee…