no code implementations • 19 Jan 2024 • Ali K. Z. Tehrani, Guy Cloutier, An Tang, Ivan M. Rosado-Mendez, Hassan Rivaz
Statistics of the envelope of the backscattered radiofrequency (RF) data can be utilized to estimate several QUS parameters.
no code implementations • 24 Feb 2023 • Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hayley Whitson, Hassan Rivaz
Quantitative ultrasound (QUS) aims to find properties of scatterers which are related to the tissue microstructure.
no code implementations • 31 Oct 2022 • Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hassan Rivaz
Speckle statistics are the QUS parameters that describe the first order statistics of ultrasound (US) envelope data.
no code implementations • 13 Aug 2022 • Noushin Jafarpisheh, Laura Castaneda Martinez, Hayley Whitson, Ivan M. Rosado-Mendez, Hassan Rivaz
Pulse-echo Quantitative ultrasound (PEQUS), which estimates the quantitative properties of tissue microstructure, entails estimating the average attenuation and the backscatter coefficient (BSC).
no code implementations • 8 Jun 2022 • Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hassan Rivaz
Quantitative Ultrasound (QUS) provides important information about the tissue properties.
no code implementations • 16 Jan 2022 • Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hassan Rivaz
In conventional methods, the envelope data is divided into small overlapping windows (a strategy here we refer to as patching), and statistical parameters such as SNR and skewness are employed to classify each patch of envelope data.
no code implementations • 21 Sep 2021 • Noushin Jafarpisheh, Ivan M. Rosado-Mendez, Timothy J. Hall, Hassan Rivaz
In the first technique, we cast scatterer size distribution as an optimization problem, and efficiently solve it using a linear system of equations.
no code implementations • 4 Dec 2020 • Ali K. Z. Tehrani, Mina Amiri, Ivan M. Rosado-Mendez, Timothy J. Hall, Hassan Rivaz
The results also show that the proposed network is able to work with different imaging parameters with no need for a reference phantom.