12 citations · 14 across the 3 of their papers we have counts for
5 papers
Towards Linking Histological Changes to Liver Viscoelasticity: A Hybrid Analytical-Computational Micromechanics Approach
Haritya Shah, Murthy N. Guddati
Motivated by elastography that utilizes tissue mechanical properties as biomarkers for liver disease, with the eventual objective of quantitatively linking histopathology and bulk…
Twin Peak Method for Estimating Tissue Viscoelasticity using Shear Wave Elastography
Shuvrodeb Adikary, Matthew W. Urban, Murthy N. Guddati
Tissue viscoelasticity is becoming an increasingly useful biomarker beyond elasticity and can theoretically be estimated using shear wave elastography (SWE), by inverting the propa…
Solving inverse scattering problems via reduced-order model embedding procedures
Jörn Zimmerling, Vladimir Druskin, Murthy Guddati +2
We present a reduced-order model (ROM) methodology for inverse scattering problems in which the reduced-order models are data-driven, i.e. they are constructed directly from data g…
Exponential Convergence through Linear Finite Element Discretization of Stratified Subdomains
Murthy N. Guddati, Vladimir Druskin, Ali Vaziri Astaneh
Motivated by problems where the response is needed at select localized regions in a large computational domain, we devise a novel finite element discretization that results in expo…
On generalized discrete PML optimized for propagative and evanescent waves
Vladimir Druskin, Murthy Guddati, Thomas Hagstrom
We suggest a unified spectrally matched optimal grid approach for finite-difference and finite-element approximation of the PML. The new approach allows to combine optimal discrete…