Assessment of tissue stiffness is desirable for clinicians and researchers, as it is well
established that pathophysiological mechanisms often alter the structural properties of …

Elastography is a medical imaging technique used to measure the elasticity of tissues by
comparing ultrasound signals before and after a light compression. The lateral resolution of …

Elastography is an imaging technique to reconstruct elasticity distributions of heterogeneous
objects. Since cancerous tissues are stiffer than healthy ones, for decades, elastography has …

The mechanical properties of biological tissues have emerged as an integral determinant of
tissue function in health and disease. Nonetheless, characterizing the elasticity of biological …

Quantitative elasticity imaging seeks to retrieve spatial maps of elastic moduli of tissue.
Unlike strain, which is commonly imaged in compression elastography, elastic moduli are …

As part of tissue elasticity imaging or elastography, an inverse problem needs to be solved
to find the elasticity distribution from the measured displacements. The finite element method …

A persistent challenge present in inverse or parameter estimation problems with interior data
is how to deal with uncertainty in the boundary conditions employed in the forward or state …

We describe an efficient gradient computation for solving inverse problems arising in
magnetic resonance elastography (MRE). The algorithm can be considered as a …

The identification of nonhomogeneous elastic property distributions has been traditionally
achieved with well acknowledged optimization based inverse approaches, but when full …

The present paper proposes a novel Bayesian, a computational strategy in the context of
model‐based inverse problems in elastostatics. On one hand, we attempt to provide …