10 papers
Constrained and Regularized Quantitative Ultrasound Parameter Estimation using ADMM
Ali K. Z. Tehrani, Hassan Rivaz, Ivan M. Rosado-Mendez
Regularized estimation of quantitative ultrasound (QUS) parameters, such as attenuation and backscatter coefficients, has gained research interest. Recently, the alternating direct…
Uncertainty Decomposition and Error Margin Detection of Homodyned-K Distribution in Quantitative Ultrasound
Dorsa Ameri, Ali K. Z. Tehrani, Ivan M. Rosado-Mendez +1
Homodyned K-distribution (HK-distribution) parameter estimation in quantitative ultrasound (QUS) has been recently addressed using Bayesian Neural Networks (BNNs). BNNs have been s…
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…
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…
Homodyned K-distribution: parameter estimation and uncertainty quantification using Bayesian neural networks
Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hassan Rivaz
Quantitative ultrasound (QUS) allows estimating the intrinsic tissue properties. Speckle statistics are the QUS parameters that describe the first order statistics of ultrasound (U…
Physics-Inspired Regularized Pulse-Echo Quantitative Ultrasound: Efficient Optimization with ADMM
Noushin Jafarpisheh, Laura Castaneda Martinez, Hayley Whitson +2
Pulse-echo Quantitative ultrasound (PEQUS), which estimates the quantitative properties of tissue microstructure, entails estimating the average attenuation and the backscatter coe…
Deep Estimation of Speckle Statistics Parametric Images
Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hassan Rivaz
Quantitative Ultrasound (QUS) provides important information about the tissue properties. QUS parametric image can be formed by dividing the envelope data into small overlapping pa…
Robust Scatterer Number Density Segmentation of Ultrasound Images
Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hassan Rivaz
Quantitative UltraSound (QUS) aims to reveal information about the tissue microstructure using backscattered echo signals from clinical scanners. Among different QUS parameters, sc…
Estimation of the Scatterer Size Distributions in Quantitative Ultrasound Using Constrained Optimization
Noushin Jafarpisheh, Ivan M. Rosado-Mendez, Timothy J. Hall +1
Quantitative ultrasound (QUS) parameters such as the effective scatterer diameter (ESD) reveal tissue properties by analyzing ultrasound backscattered echo signal. ESD can be attai…
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
Ali K. Z. Tehrani, Mina Amiri, Ivan M. Rosado-Mendez +2
Quantitative ultrasound (QUS) can reveal crucial information on tissue properties such as scatterer density. If the scatterer density per resolution cell is above or below 10, the…